How To Scrape Amazon Best Seller Listing Using Python
                     How To Scrape Amazon Best Seller Listing 
Using Python?
If you're planning to sell your newly developed product on Amazon, you'll need to know the 
path to list your product on the platform to get maximum revenue. It will give you an idea of 
the potential challenges, how to htmtps://iwtwiwg.iweabdattaescr aptinhg.coem/msocia l-maednia-sdcrap ewr.phphat modifications are required in your 
product and marketing strategy, etc.
In this tutorial, we'll walk through the process of ehttpxs://twrwwa.iwcebdtaitanscrgapin ga.com/scarapez-aomaznon- bbest-eselslerst-r asnkiengsl-dlaeta-arn d-lsitasy-ctom dpetiativet.pahp using 
python to help you with your market research.
What is data scraping from websites?
It is an automatic process to extract the desired data from websites in a usable format in 
large quantities for market research purposes.
https://www.iwebdatascraping.com/ecommerce-data-scraping.php
What are the reasons for scraping data from
a website?
Web data scraping is generally used for marketing purposes where businesses extract the 
data from the websites of their competitors like product/service prices, articles, and top-per-
forming product details to plan a better marketing strategy. However, Data extraction is not 
only limited to marketing. It is also valuable for machine learning, SEhtOtps:,/ /awwnw.iwdeb dmatascarapningy.co mm/amaozonr-secra pferi.pehplds.
How to do the Amazon best seller listing scraping?
Amazon is an American company that works in online eCommerce business and cloud com-
puting across the globe. On this platform, a huge number of enterprises, and brands, sell 
their products to their customers. For example, Books, Sports gadgets, pet food, etc.
https://www.iwebdatascraping.com/scrape-tmall-com-product-data.php
Here, best sellers are listed in alphabetical order and can be seen in Amazon's best sellers’ 
category. This page gives a list of more than 40 categories regrouped. Out of which, we will 
guide you to scrape amazon bestseller lists in different categories using python web scrap-
ing. We Will need to have python libraries Beautiful soup and Requests to crawl, parse and 
mine the data we want from the page to scrape Amazon best seller listings using python.
We will follow the below-given steps for our needs to run hAttps:/m/www.aiwebzdatoascrnapin g.scomc/amrazaon-spcrapeer.prhp using python.
Install required python libraries
Download and parse the HTML code of the source page using the request and beautifulsoup 
libraries to known product category URLs.
Repeat the above step to obtain each product URL.
Scrape Data from each webpage. https://www.iwebdatascraping.com/e-commers-scraper.php
https://www.iwebdatascraping.com/e-commers-scraper.php
Compile the scraped information from each webpage in a python directory.
Save the compiled data in a usable format using the python library pandas.
Once the data extraction is done, we'll save all the data in CSV format, as shown below.
https://www.iwebdatascraping.com/scrape-taobao-product-data.php
You can check the full reference code in the link below.
How do we execute the above Code?
To run the developed code, you can go to the Run button at the top of the page and select the 
Run on Binder option.
Note: Each category shows 100 products on 2 pages, with 40 categories of each department 
being shown. But a few pages are not accessible due to captcha issues.
Install necessary python libraries to be used
Install request and beautiful soup libraries with pip command, respectively since these librar-
ies are mandatory for extracting the data from the webpage.
Save HTML page source code
Download and save the source code of the HTML page using requests and beautiful soup 
python libraries to extract product categories URLs.
https://www.iwebdatascraping.com/taobao-scraper.php
To download the page, we'll use the get function from the library requests. Further, we'll 
define the header string of the user agent so that servers will be compatible with the applica-
tion, OS, and requesting version. It is helpful to show that we are not scraping the data. The 
command requests.get gives the output containing data from a targeted webpage. While the 
status_code property checks if the output was accurate or not. To check that, we can manu-
ally verify the HTTP response code, which lies between 200 and 299, for successful output.
We can use this response.text to see the downloaded page content. Adding to it, we can also 
check the length of the downloaded data using len(response.text). In this example, we've just 
extracted the first 500 characters using the print command.
Now, let's store the extracted file in an HTML extension.
with open("bestseller.html","w") as f: 
 f.write(response.text)
After sahvttpis:n//wwgw.,iw ewbdateasc racpinag.conm/ wecb-hscraepincg-skerv ictesh.phep  fileht tpus://swwiwn.iwgeb dattahscreap inFg.ciolme/m>obiOle-apppse-danta- scmrapineg.nphpu in jupyter and open the best-
seller.html file from the files shown on the screen.
To know whether the extracted data has been saved or not, there is an option where you can 
check the file size. If the file size is around 250 kB, the process is successful. However, if the 
file size is 6.6kB, means the process has failed. Reasons to fail could be security or a capt-
cha.
This is what we can observe when we open the file.
https://www.iwebdatascraping.com/web-scraping-services.php
Though this looks like the original web page, it's just a copy of that page, and we can't open 
any link from the copy. To check and customize the source code of the saved file, click 
File>Open in Jupyter, then opt for the .html file for this operation from the lists and click on 
the edit option.
https://www.iwebdatascraping.com/scrape-amazon-product-data.php
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
So far, we have just got the data for the first 500 characters. Now, we'll move ahead to parse 
the web page to check the type using BeautifulSoup.
Though this looks like the original web page, it's just a copy of that page, and we can't open 
any link from the copy. To check and customize the source code of the saved file, click 
File>Open in Jupyter, then opt for the .html file for this operation from the lists and click on 
the edit option.
After finishing the above process, let's find a list of item topic and categories, their titles and 
URLs, and store them in the device.
############## find and get different item categories description and 
Url at any department
topics_link = 0
for tag in hearder_link_tags[1:]:
# print(tag)
topics_link.append({
"title": tag.text.strip(),
"htutps:/r/wlw"w.i:we btdahatattspcsrga:/p/win.wgw.fc.oiwmie/nbwdeabtd-assccrar(appin"ingg-as.ecrovm"ic/e)ws.ep[bh-p"scrhapinrg-servfice"s.p]h p}) https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
########store in dictionary
table_topics = {k:[ d.get(k) for d in topics_link] for k in set().union(*top-
ics_link)}
Table_topics
{'url': ['https://www.amazon.com/Best-Sellers/zgbs/amazon-devic-
es/ref=zg_bs_nav_ 0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Amazon-Launchpad/zgbs/-
boost/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Appliances/zgbs/applianc-
es/ref=zg_bs_nav_ 0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Appstore-Android/zgbs/mo-
bile-apps/ref=zg_bs_nav_ 0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - A r t s - C r a f t s - S e w -
ing/zgbs/arts-crafts/ref=zg_bs_nav_ 0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - A u d i b l e - A u d i o -
books/zgbs/audible/ref=zg_bs_nav_ 0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Automotive/zgbs/automo-
tive/ref=zg_bs_nav_0/138-
0735230-1420505',
'https://www.amazon.com/Best-Sel lers-Baby/zgbs/baby-prod-
ucts/ref=zg_bs_nav_ 0/138-0735230-1420505', 'https://www.ama-
zon.com/Best-Sellers-Beauty/zgbs/beauty/ref=zg_bs_nav_0/138-
0735230-1420505',
'https://www.amazon.com/best-sel lers-books-Amazon/zgbs/-
books/ref=zg_bs_nav_ 0/138-0735230-1420505', Gift Cards Amazon Hom
'https://www.amazon.com/best-sellers-music-albums/zgbs/mu-
shttpis:c//w/r0/1ww3.iw
eebdafht tt=ps:/8-as0crap/
zwinwggw.c.oiwme_/bwdebabt-asscscrarapp73523i
_ningg-sn.ecrovmica/ews.epvbh-psc_raping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php0-1420505',
'https://www.amazon.com/best-sellers-camera-photo/zgbs/pho-
to/ref=zg_bs_nav_ 0/138-0735230-1420505',
' h t t p s : // w w w . a m a z o n . c o m / B e s t - S e l l e r s / z g b s / w i r e -
less/ref=zg_bs_nav_0/138-0735230-
1420505', 'https://www.amazon.com/Best-Sellers/zgbs/fash-
ion/ref=zg_bs_nav_0/138-0735230-
1420505',
'https://www.amazon.com/Best-Sellers-Collectible-Coins/zgbs/-
coins/ref=zg_bs_nav_ 0/138-0735230-1420505', 'https://www.ama-
zon.com/Best-Sellers-Computers-Accessories/zgbs/pc/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers/zgbs/digital-education-
al-resources/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-MP3-Downloads/zgbs/dmu-
sic/ref=zg_bs_nav_0/138-
0735230-1420505',
'https://www.amazon.com/Best-Sellers-Electronics/zgbs/electron-
ics/ref=zg_bs_nav_0/138- 0735230-1420505',
'https://www.amazon.com/Best-Sellers-Entertainment-Collecti-
bles/zgbs/entertainment-
collectibles/ref=zg_bs_nav_0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - G i f t - C a r d s / z g b s / -
gift-cards/ref=zg_bs_nav_0/138- men's Slim-
0735230-1420505',
' h t t p s : // w w w . a m a z o n . c o m / B e s t - S e l l e r s - G r o c e r y - G o u r -
met-Food/zgbs/grocery/ref=zg_bs_ nav_0/138-0735230-1420505',
'hthtps:/t/wwtw.piwebdsatas:cra/pin/g.cowm/wewb-scrapwing-se.rviaces.pmhp azon.com/Best-Sellers-Handmade/zgbs/hand-made/httrpse://wwfw=.iwebzdatgascr_apibng.cosm/w_ebn-scraapinvg-se_rvic0es.p/hp138ht-tp s:0//ww7w.iw3ebd5ata2scra3ping0.com-/1mob4ile-a2pps0-dat5a-sc0rap5ing.'p,hp
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - H e a l t h - P e r s o n -
al-Care/zgbs/hpc/ref=zg_bs_nav_ 0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Home-Kitch
en/zgbs/home-garden/ref=zg_bs_nav_ 0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - I n d u s t r i a l - S c i e n t i -
fic/zgbs/industrial/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Kindle-Store/zgbs/digi-
tal-text/ref=zg_bs_nav_0/138- 0735230-1420505',
'https://www.amazon.com/Best-Sellers-Kitchen-Dining/zgbs/kitch-
en/ref=zg_bs_nav_0/138- 0735230-1420505',
'https://www.amazon.com/Best-Sellers-Magazines/zgbs/maga-
zines/ref=zg_bs_nav_0/138- 0735230-1420505', 'https://www.ama-
z o n . c o m / b e s t - s e l l e r s - m o v -
ies-TV-DVD-Blu-ray/zgbs/movies-tv/ref=zg_bs_nav
_0/138-0735230-1420505',
' h t t p s : // w w w . a m a z o n . c o m / B e s t - S e l l e r s - H o m e - K i t c h -
en/zgbs/home-garden/ref=zg_bs_nav_ 0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - I n d u s t r i a l - S c i e n t i -
fic/zgbs/industrial/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Kindle-Store/zgbs/digi-
tal-text/ref=zg_bs_nav_0/138- 0735230-1420505',
'https://www.amazon.com/Best-Sellers-Kitchen-Dining/zgbs/kitch-
en/ref=zg_bs_nav_0/138- 0735230-1420505',
'https://www.amazon.com/Best-Sellers-Magazines/zgbs/maga-
zines/ref=zg_bs_nav_0/138- 0735230-1420505', 'https://www.ama-
z o n . c o m / b e s t - s e l l e r s - m o v -
i
_ht
etps:/s/ww-wT.iw V-DVD-Blu0/13ebda8htattspc-sra:/p0/winwgw.7c.oiwme3/bwdeab5t-assccra2rappining3g-serv
-icres.aphpy/zgbs/movies-tv/ref=zg_bs_nav.co0m/w-eb1-scr4aping2-ser0vice5s.ph0p 5', https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - M u s i c a l - I n s t r u -
m e n t s / z g b s / m u s i c a l - i n s t r u m e n t s / r e f = z g _ 
bs_nav_0/138-0735230-1420505', 'https://www.amazon.com/Best-Sell-
ers-Office-Products/zgbs/office-products/ref=zg_bs_nav_ Hom
0/138-0735230-1420505',
' h t t p s : // w w w . a m a z o n . c o m / B e s t - S e l l e r s - G a r d e n - O u t -
door/zgbs/lawn-garden/ref=zg_bs_nav_
0/138-0735230-1420505',
'https://www.amazon.com/Best-Sellers-Pet-Supplies/zgbs/pet-sup-
plies/ref=zg_bs_nav_0/138- 0735230-1420505',
' h t tps : //www.amazon.com/best -se l le rs -sof tware/zgbs/sof t -
ware/ref=zg_bs_nav_0/138-0735230
-1420505',
'https://www.amazon.com/Best-Sellers-Sports-Outdoors/zgbs/spor-
ting-goods/ref=zg_bs_nav_
0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - S p o r t s - C o l l e c t i -
bles/zgbs/sports-collectibles/ref=zg_bs__ nav_0/138-0735230-1420505',
' h t t p s : // w w w. a m a z o n . c o m / B e s t - S e l l e r s - H o m e - I m p r o v e -
ment/zgbs/hi/ref=zg_bs_nav_0/138-
0735230-1420505',
' h t t p s : / / w w w . a m a z o n . c o m / B e s t - S e l l -
e r s - To y s - G a m e s / z g b s / t o y s - a n d - g a m e s / r e f = z g _ b s _ n a v _ 
0/138-0735230-1420505', 'https://www.amazon.com/best-sellers-vid-
eo-games/zgbs/videogames/ref=zg_bs_nav_0/
1http3s://w8ww.-iw0ebda7tasc3rapin5g.co2m/w3eb-s0crapi-ng1-serv4ices2.php0505'], 'title': ['Amazon Devices & Accessories','Amazhottpsn://ww wL.iweabdautascnrapincg.chom/wpeb-ascradping'-,se rv'iAces.pphp pliahttnps:/c/wwew.iwseb'd,atascraping.com/mobile-apps-data-scraping.php
'Apps & Games',
'Arts, Crafts & Sewing', GAP Women's Ribbed Tank Top Amazon Essentials 
Women's Slim- 'Audible Books & Originals',
Fit Tank, Pack of 2
$13.50
'Automotive',
'Baby', 'Beauty & Personal Care',
'Books',
'CDs & Vinyl',
'Camera & Photo Products', 'Cell Phones & Accessories',
'Clothing, Shoes & Jewelry', 'Computers & Accessories',
'Collectible Currencies',
'Digital Educational Resources', 'Digital Music',
'Electronics',
'Entertainment Collectibles',
'Gift Cards',
'Grocery & Gourmet Food', 'Handmade Products',
'Health & Household',
'Home & Kitchen',
'Industrial & Scientific',
'Kindle Store',
'Kitchen & Dining',
'Magazine Subscriptions',
'Movies & TV',
'Musical Instruments',
'Office Products',
'Patio, Lawn & Garden',
'Pet Supplies',
'Software',
'
'h
S
Sttps:
p
p//ww
o
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r
reb
t
tda
s
shta
 
ttspc sra
&
C:/p/winwg
 
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O
.oiwmle/w
ueb-stcradpingoors', Downbldeatasccraptinig-s.becrovmicl/ewse.epbh-psscra'p,ing-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
'Tools & Home Improvement',
'Toys & Games',
'Video Games']}
Here, we've extracted the list of 40 bestseller product categories accurately.
Repeat the above step for all the above-obtained 
categories using respective URLs
To avoid access being denied by a captcha on several pages while extracting data; we’ll 
import the time library to apply the sleeping time of a few seconds.
import time  
 import numpy as np
We are going to define a function, namely parse_page, to extract and parse every single page 
link saved from the top ranking best-selling product of any category.
def fetch(url):
"The function take url and headers to download and parse the page using 
request.get and
BeautifulSoup library
it return a parent tag of typeBeautifulSoup object
Argument:
-url(string): web page url to be downloaded and parse
Return:
-doc(Beautiful Object): it's the parent tag containing the information that 
we need parsed from the page""
HEADERS= {"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64; 
rv:66.0) Gecko/ 20100101 Firefox/66.0", "Accept-Encoding":"gzip, deflate", 
"Accept":"text/html,application/xhtml+ xml,application/xm-
l;q=0.9,*/*;q=0.8", "DNT":"1","Connection":"close", "Upgrade-Insecure-Re-
hqttpsu://weww.iswebtdashtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
":"1"} response = requests.get(url, headers= HEADERS) Top if response.sta-
tus_code != 200:
print("Status code:", response.status_code)
raise Exception("Failed to link to web page + topic_url) "
page_content = BeautifulSoup(response.text,"html.parser")
doc = page_content.findAll('div', attrs={'class':'a-section a-spacing-none 
aok-relative'}) return doc
def parse_page(table_topics,pageNo):
"""The function take all topic categories and number of page to parse for 
each topic as input, applyget request to download each
page, the use Beautifulsoup to parse the page. the function output are arti-
cle_tags list
containing all pages content, t_description
list containing correspponding topic or categories then an url list for corre-
sponding Url.
Argument:
-table_topics (dict): dictionary containing topic description and url -pageN-
o(int): number of page to parse per topic
Return:
-article_tags(list): list containing successfully parsed pages content where 
each index is a Beautifulsoup type
-t_description (list): list containing successfully parsed topic description
-t_url(list): list containing successfully parsed page topic url
-fail_tags(list): list containing pages url that failed first parsing
-failed_topic(list): list contaning pages topic description that failed first 
parsing
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
article_tags,t_description, t_url, fail_tags, failed_topic =[], [], [], [], [] for i in 
range(0,len (table_topics["url"])):
# take the url
topic_url = table_topics["url"][i]
topics_description = table_topics["title"][i]
try: for j in range(1,pageNo+1):
ref=topic_url.find("ref") url = topic_url[:ref]+"ref=zg_bs_pg_"+str(j)+"?_en-
coding=UTF8&pg="+str(j) time.sleep(10) #use resquest to obtain HMTL 
page content +str(pageNo)+
doc = fetch(url)
if len(doc)==0:
print("failed to parse page{}".format(url))
Wo fail_tags.append(url)
failed_topic.append(topics_description)
else: print("Sucsessfully parse:", url) article_tags.append(doc)
t_description.append(topics_description) t_url.append(topic_url)
except Exception as e:
print(e)
return article_tags,t_description,t_url,fail_tags, failed_topic
If the parsing fails in the first attempt, we'll have a provision for that too. To achieve this, we 
will define a function reparse_failed_page and will apply it whenever the first attempt fails. 
Further, we will keep it in a while loop to repeat until it gives the output.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
def reparse_failed_page(fail_page_url, failed_topic): Registry
om
Fashion
Gift Cards Amazon Hom """The function take topic categories url, and de-
scription that failed to be accessible due to
captcha in the first parsing process,
try to fetch and parse thoses page for a second time.
the function return article_tags list containing all pages content, topic_de-
scription,topic_url
and other pages url and topic that failed to load content again
Argument:
-fail_page_url(dict): list containing failed first parsing web page url 
ps-failed_topic(int): list contaning failed first parsing ictionary containing 
topic description
and url
Return:
-article_tags2(list): list containing successfully parsed pages content 
where each index is a Beautifulsoup type
-t_description (list): list containing successfully parsed topic description 
-t_url(list): list containing successfully parsed page topic url
-fail_p(list): list containing pages url that failed again -fail_t(list): list con-
taning pages topic description that failed gain
print("check if there is any failed pages, then print number:", len(-
fail_page_url)) article_tag2, topic_url, topic_d, fail_p, fail_t = [],0,0,0,0 try: 
Ama Women's Slim-
f
thtt
ops:/r/w wwi.i wiebndata range(lhttspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarapime.sleep(20pin
en(fail_page_url)):
ingg-s.ecrovmic/ews.epbh-pscraping-services.php) https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
doc = fetch(url)
if len(doc)==0:
print("page{}failed again".format(fail_page_url[i]))
fail_p.append(fail_page_url[i]) fail_t.append(failed_topic[i])
else:
article_tag2.append(doc) topic_url.append(fail_page_url[i]) topic_d.ap-
pend(failed_topic[i]) except Exception as e:
print(e)
return article_tag2,topic_d,topic_url,fail_p,fail_t
To get the maximum number of pages while parsing, we have defined the function parse to 
achieve 2 levels of parsing.
def parse(table_topics,pageNo):
Music
"""The function take table_topics, and number of page to parse for ecah 
topic url, the main purpose of this funtion is
to realize a double attempt to parse maximum number of pages it can .It's 
a combination of result getting from first
and second parse.
Argument
-table_topics(dict): dictionary containing topic description and url
-pageNo(int): number of page to parse per topic Return:
-all_arcticle_tag(list): list containing all successfully parsed pages content 
where
each index is a Beautifulsoup type
-all_topics_description (list): list containing all successfully parsed topic 
description -all_topics_url(list): list containing all successfully parsed page 
topic url
ahttprs:/t/wiwwc.iwlebedahtat_tspcsrta:/p/wianwgw.cg.oiwme/bswdeabt,-asstccrar_appiningdg-s.ecroevmic/ewss.epbh-cpscrarpinigp-sertvicieso.phpn,t_huttpsr://lw,wfw.aiwebidlat_asctraping.cosm/m,ofbiale-aipplse-datda-sc_raptinog.php ic = parse_page(ta-
ble_topics,pageNo)
if len(fail_tags)!=0:
article_tags2,t_description2,t_url2,fail_tags2, failed_topic2 = reparse_-
failed_page Ribbed Tank Top Amaz Women's Slim-
(fail_tags,failed_topic)
all_arcticle_tag = [*article_tags, *article_tags2]
all_topics_description = [*t_description,*t_description2]
all_topics_url = [*t_url,*t_url2] #return all_arcticle_tag, all_topics_descrip-
tion, all_topics_url
else:
print("successfully parsed all pages")
all_arcticle_tag = article_tags
all_topics_description =t_description
all_topics_url = t_url
# return article_tags,t_description,t_url,fail_tags,failed_topic
return all_arcticle_tag, all_topics_description,all_topics_url
all_arcticle_tag, all_topics_description, all_topics_url = parse(table_top-
ics,2)
Sucsessfully parse: https://www.amazon.com/Best-Sellers/zgbs/ama-
zon-devices/ref=zg_
bs_pg_1?_encoding=UTF8&pg=1 Successfully parse: https://www.ama-
zon.com/Best-Sellers/zgbs/amazon-devices/ref=zg_
bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Ama-
zon-Launchpad/zgbs/boost/
ref=zg_bs_pg_1?_encoding=UTF8&pg=1
Shttpsu://wcwws.iweebdatsascrsapinfg.cuom/lwleby-scr aping-services.phpparse: https://www.amazon.com/Best-Sellers-Ama-https://www.iwebdatascraping.com/web-scraping-services.phpzon-Launchpad/zgbs/boosth/ttp s:r//wewwf.iw=ebdzatasgcra_pinbg.cosm/m_obpile-gapps_-da2ta-s?cra_pineg.pnhp coding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Applianc-
es/zgbs/appliances/ref= zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Applianc
es/zgbs/appliances/ref=
zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.ama-
zon.com/Best-Sellers-Appstore-Android/zgbs/mobile-
apps/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Appstore-Android/zgbs/mobile-
pps/ref=zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Arts-Crafts-Sewing/zgbs/arts-
crafts/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Arts-Crafts-Sewing/zgbs/arts-
crafts/ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Audible-Audio-
books/zgbs/audible/
ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: https://ww-
w.amazon.com/Best-Sellers-Audible-Audiobooks/zgbs/audible/
ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Automo-
tive/zgbs/automotive/ref=
zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Automo-
tive/zgbs/automotive/ref= zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Baby/zgbs/ba-
by-products/ref=
zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Baby/zgbs/ba-
by-products/ref= zg_bs_pg_2?_encoding=UTF8&pg=2
Shttpsu://wcwws.iweebdatsascrsapinfg.cuom/lwleby-scr aping-services.phpparse: https://www.amazon.com/Best-Sellers-Beau-https://www.iwebdatascraping.com/web-scraping-services.phpty/zgbs/beauty/ref=zg_ bs_hpttpsg://w_ww1.iwe?bda_tasecranpingc.coom/mdobilie-nappgs-da=ta-sUcrapTing.Fphp8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Beau-
ty/zgbs/beauty/ref=zg__ bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/best-sellers-books-Ama-
zon/zgbs/books/ref =zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/best-sellers-books-Ama-
zon/zgbs/books/ref =zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/best-sellers-music-al-
bums/zgbs/music/ref= zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/best-sellers-music-al-
bums/zgbs/ music/ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/best-sellers-camera-
photo/zgbs/photo/ref=zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/best-sellers-camera-pho-
to/zgbs/photo/ref=zg_
bs_pg_2?_encoding=UTF8&pg=2
Amazon Hom
Sucsessfully parse: https://www.amazon.com/Best-Sellers/zgbs/wire-
less/ref=zg_bs_pg_1?_
encoding=UTF8&pg=1
failed to parse pagehttps://www.amazon.com/Best-Sellers/zgbs/wire-
less/ref=zg_bs_pg_2?_
encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers/zgbs/fash-
ion/ref=zg_bs_pg_1?_
encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers/zgbs/fash-
ihtotps:/n/ww/w.irweebdaftas=crapzing.cgom/_webs_https://www.iwebdabt-ascrapingencoding=UsTcrapFing-se
p
.co
8rv
g
mic/w&es.ep
_2?_
bh-pscraping-services.phppg=2 https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Collecti-
ble-Coins/zgbs/coins/ref=zg _bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Hand-
made/zgbs/handmade/ref=zg
_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: https://www.ama-
zon.com/Best-Sellers-Handmade/zgbs/handmade/ref=zgazon Hom
_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Health-Per-
sonal-Care/zgbs/hpc/ref=zg
_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: https://www.ama-
zon.com/Best-Sellers-Health-Personal-Care/zgbs/hpc/ref=zg
_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.ama-
zon.com/Best-Sellers-Home-Kitchen/zgbs/home-garden/ref=zg
_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Home-Kitch-
en/zgbs/home-garden/ref
=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Industrial-Sci-
entific/zgbs/industrial/ref =zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Industrial-Sci-
entific/zgbs/industrial/ref =zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Kin-
dle-Store/zgbs/digital-text/ref= zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Kin-
dle-Store/zgbs/digital-text/ref= zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Kitchen-Din-
ing/zgbs/kitchen/ref= zg_bs_pg_1?_encoding=UTF8&pg=1
Shttpsu://wcwws.iweebdatsascrsapinfg.cuom/lwleby-scr aping-sperviaces.prhpse: https://www.amazon.com/Best-Sellers-Kitchen-Din-https://www.iwebdatascraping.com/web-scraping-services.phping/zgbs/kitchen/ref= zg_bshttp_s:/p/wwgw.iw_eb2data?scr_apieng.cnom/cmoobile-dappis-ndatag-sc=rapiUng.phTp F8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Maga-
zines/zgbs/magazines/ref=n's Slim-
zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Maga-
zines/zgbs/magazines/ref=
zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/best-sellers-mov-
ies-TV-DVD-Blu-ray/zgbs/ movies-tv/ref=zg_bs_pg_1?_encoding=UTF8&p-
g=1 Sucsessfully parse: https://www.amazon.com/best-sellers-mov-
ies-TV-DVD-Blu-ray/zgbs/
movies-tv/ref=zg_bs_pg_2?_encoding=UTF8&pg=2 O Successfully parse: 
https://www.amazon.com/Best-Sellers-Musical-Instruments/zgbs/
musical-instruments/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessful-
ly parse: https://www.amazon.com/Best-Sellers-Musical-Instru-
ments/zgbs/
musical-instruments/ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Office-Prod-
ucts/zgbs/office- products/ref=zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Office-Prod-
ucts/zgbs/office-
products/ref=zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Garden-Outdoor/zgbs/lawn-
garden/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Garden-Outdoor/zgbs/lawn-
garden/ref=zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Pet-Supplies/zgbs/pet-sup-
pl
_httpbs:/
i/eswww
s
_.iwpe
/bdarehgtattspcra
f
s://w
_p1in
=g.cozww.iwm ge/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php?_encoding=UTF8&httpps://wgww=.iwe1bdatascraping.com/mobile-apps-data-scraping.php
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Pet-Sup-
plies/zgbs/pet-supplies/ref=
zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.ama-
zon.com/best-sellers-software/zgbs/software/ref=zg_bs
_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: https://www.ama-
zon.com/best-sellers-software/zgbs/software/ref=zg_bs__
pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.ama-
zon.com/Best-Sellers-Sports-Outdoors/zgbs/sporting-
goods/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Sports-Outdoors/zgbs/sporting-
goods/ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Successfully parse: https://www.amazon.com/Best-Sellers-Sports-Col-
lectibles/zgbs/sports-
collectibles/ref=zg_bs_pg_1?_encoding=UTF8&pg=1 Sucsessfully parse: 
https://www.amazon.com/Best-Sellers-Sports-Collectibles/zgbs/sports-
collectibles/ref=zg_bs_pg_2?_encoding=UTF8&pg=2
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Home-Im-
provement/zgbs/hi/ref
=zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sellers-Home-Im-
provement/zgbs/hi/ref
=zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.am-
azon.com/Best-Sellers-Toys-Games/zgbs/toys-and-games/ref
=zg_bs_pg_1?_encoding=UTF8&pg=1
Sucsessfully parse: https://www.amazon.com/Best-Sell-
ers-Toys-Games/zgbs/toys-and-games/ref
=zg_bs_pg_2?_encoding=UTF8&pg=2 Sucsessfully parse: https://www.am-
ahttpzs://owwwn.iwe.bdcatasocrapming.com//wbeb-secrapsing-tser-vicses.pehp llers-video-games/zgbs/videogames/ref=zghttps://www.iwebdatascraping.com/web-scraping-services.php_bs_pg_1?_encoding=UTF8&httpps://wgww=.iwe1bdatascraping.com/mobile-apps-data-scraping.php
Sucsessfully parse: https://www.amazon.com/best-sellers-vid-
eo-games/zgbs/videogames/ref=zg _bs_pg_2?_encoding=UTF8&pg=2
check if there is any failed pages, then print number: 4 pagehttps://ww-
w.amazon.com/Best-Sellers/zgbs/wireless/ref=zg_bs_pg_2?_encoding=
UTF8&pg=2failed again
p a g e h t t p s : // w w w . a m a z o n . c o m / B e s t - S e l l e r s - C o l l e c t i -
ble-Coins/zgbs/coins/ref=zg_bs_pg_2?_
encoding=UTF8&pg=2failed again
pagehttps://www.amazon.com/Best-Sellers-MP3-Downloads/zgbs/d-
music/ref=zg_bs_pg_1?_
encoding=UTF8&pg=1 failed again
pagehttps://www.amazon.com/Best-Sellers-MP3-Downloads/zgbs/d-
music/ref=zg_bs_pg_2?_ encoding=UTF8&pg=2failed again
THere, we have successfully mined 76 pages out of 80 which is good enough.
Extract information data from each page.
In this part, we have defined a function to scrape the data fields like product description, min 
and max price of the product, product reviews, image URL, product rating, etc. this data as 
What is the definition of an HTML element?
An HTML element is a tool consisting of child nodes, tag names and attributes, text nodes, 
and a few other factors. This can be used to scrape data. Further, the elementary can also 
What are HTML Tags, Child Nodes, and Attributes?
The easiest way to know an HTML tag is to understand how a device knows what content to 
display on the screen, where to show it, and how to show it. Further, differentiating between 
titles, headings, paragraphs, and images. All this is done using HTML tags on the computer. 
It is a web-based command to push browsers to take action on something.
HhttpTs://Mwww.Liwe bdtataascgrapsing. cohm/awebv-scerap ings-seyrvicnes.tphap xes like HTML, body, head, and div. It is to show their meaning, and define hhttops:w//ww w.tiwhebdata scbraprinog.cowm/web-escrrap inwg-seirvlicle s.pphperforhtmtps:// wawws.iw ebpdaetasrcra ptinhg.ceom /mcoboilem-appsm-dataa-sncradpin g.cphponsidering that these tags also 
represent keywords.
Talking about attributes of HTML like href, src, alt, class, and id, they are modifiers of HTML 
element type. They are used inside opening tags to manage elements.
Child nodes are elements nested in another element.
We can use different types of HTML tags and attributes in single-page content. The below 
picture is on HTML tags and attributes to find the price tag information of the product.manip-
ulate HTML.bees extracted using an HTML element from the above-parsed data.
To get the product description, we will define get_topic_url_item_descriptuon as shown in the 
below code.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
After that, we have defined get_item_price to scrape minimum and maximum price of the 
products.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
Now, we defined get_item_review and get_item_rate functions to get product reviews and 
rates.
Lhttpas:/s/wwtwl.iywe bdwahtattsepcsra:/ p/widnwgw.ce.oiwmfe/bwidenabt-asscecrarapdpining g-s.gecrovmiec/ewst.epbh_-pscirtapeingm-servi_ceus.phrpl to mhttpsi:/n/wwew. iwtehbdaetas cirmapinga.cogm/emo bUile-aRppsL-da toa-sfcr atpihng.ephp product.
Thus we have extracted all tube relevant data for the bestseller products and stored them in 
the usable format.
Compile the Scraped data from each page into a 
Python Library
We have designated the function get_info to compile all the product data in a python library.
def get_info(article_tags,t_description,t_url):
Registry Fashion Gift Cards Amazon Hom
Ideas """The function take a list of pages content which each index is a 
Beautiful element that will be use to find parent tag, list of topic description 
and topic url then
the return a dictionary made of list of each item information data such as: 
his corresponding topic, the topic url,
the item description, minimum price(maximum price if exist), item rating,
chttpos://swwwt.iwuebdmahtattspcsra:e/p/winwgrw.c.o iwmre/bwedeabt-asvsccrarapipineingg-s.ecwrovmic/ew,s.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
and item image url Argument: Core -article_tags(list): list containing all 
pages content where each index is a Beautifulsoup type
-t_description (list): list containing topic description
-t_url(list): list containing topic url
Return:-dictionary (dict): dictionary containing all item information data 
taken from each parse page topic www
topic_description, topics_url, item, item_url = [,0,0,0
minimum_price, maximum_price, rating, costuomer_review = [],0,0,0
for idx in range(0,len (article_tags)): doc = article_tags[idx]#.findAll('div', 
attrs={'class':'a-section a-spacing-none men's Slime
aok-relative'})for d in doc :
names,topic_name,topic_url = get_topic_url_item_description (d,t_descrip-
tion[idx],t_url[idx])
34.98
min_price,max_price = get_item_price(d)
rate = get_item_rate(d)
review = get_item_review(d)
00 See Meurl = get_item_url(d)
####put each item data inside corresponding list item.append(names)
topic_description.append(topic_name)
topics_url.append(topic_url)
minimum_price.append(min_price) maximum_price.append(max_price)
rating.append(rate)
costuomer_review.append(review) item_url.append(url)
return {
"Topic": topic_description,
"Topic_url": topics_url,
"
"ht
I
Mtps
t:/e/wiw
m
nw.iweb
_datadsc escriptiohttps://www.iwebdatascraping.comimurapinmg.com_/wepb-scrrapiincg-seervice
ns.ph"p : item, "Rating out of 5": rating,/web-scraping-services.php": minimumh_ttpps://wrwiw.ciweebda,ta sRcrapiinbg.cobm/meobidle-a pTps-daatan-scrkapin gT.phop p
"Maximum_price": maximum_price,
"Review" :costuomer_review,
"Item Url" item_url}
After a couple of parsing attempts, we got the maximum products data from amazon. Now 
we will store it in a data frame using pandas
Store the information in a CSV file using Pandas
Let's begin to store the data in the data frame.
dataframe = pd.DataFrame(data)
Topic Topic_url Item_description Rating out of 5 Minimum_price Maxi-
mum_price Review Item Url Amazon Hom 0 Amazon Devices & Accessories 
https://www.amazon.com/Best-Sellers/zgbs/amazo... Fire TV Stick 4K 
streaming device with Alexa V... 4.7 39.90 0.00 615786 https:// imag-
es-na.ssl-images-amazon.com/images...
1 Amazon Devices & Accessories https://www.amazon.com/Best-Sell-
ers/zgbs/amazo... Fire TV Stick (3rd Gen) with Alexa Voice Remot... 4.7 
39.90 0.00 1884 https:// images-na.ssl-images-amazon.com/images...
ops Tees & Blouses 2 Amazon Devices & Accessories https://www.ama-
zon.com/Best-Sellers/zgbs/amazo... Echo Dot (3rd Gen) - Smart speaker 
with Alexa ... 4.7 39.90 0.00 1124438 https:// images-na.ssl-images-ama-
zon.com/images...
4 Amazon Devices & Accessories https://www.amazon.com/Best-Sell-
ers/zgbs/amazo... Amazon Smart Plug, works with Alexa - A Certif... 4.7 
24.90 0.00 425111 https:// images-na.ssl-images-amazon.com/images...
3795 Video Games https://www.amazon.com/best-sellers-video-game...
PowerA Joy Con Comfort Grips for Nintendo Swit...4.7 9.88 0.00 21960
https://images-na.ssl-images-amazon.com/images...
3796 Video Games https://www.amazon.com/best-sellers-video-game... 
Super Mario 3D All-Stars (Nintendo Switch) 4.8 58.00 0.00 15109 
hhttpts:/t/wpww.isweb:da/htat/tspcsria:/p/mwinwgw.c.oiwmae/bwdgeabt-asscecrarappisningg-s-.ecronvmic/ewsa.epbh-ps.crsapinsg-sler-viciesm.php agehttsps://-waww.miwebdaataszcraopingn.com./cmoboile-mapps-d/atia-mscrapiang.pghpes...
3797 Video Games https://www.amazon.com/best-sellers-video-game... 
Quest Link Cable 16ft, VOKOO Oculus Quest Link... 4.3 29.90 0.00
3576 https://images-na.ssl-images-amazon.com/images...
3798 Video Games https://www.amazon.com/best-sellers-video-game... 
RUNMUS K8 Gaming Headset for PS4, Xbox One, PC... 4.5 21.80 0.00
47346 https://images-na.ssl-images-amazon.com/images...
3799 Video Games https://www.amazon.com/best-sellers-video-game... 
NBA 2K21: 15,000 VC - PS4 [Digital Code] 4.5 4.99 99.99 454 https: //imag-
es-na.ssl-images-amazon.com/images...
We got the data in about 3800 rows and 8 columns using the process. Now let's save it in a 
CSV file using pandas.
dataframe.to_csv('AmazonBestSeller.csv', index=None)
Here is how you can access the file - File>Opent
Now, Let's open the CSV file to print the first 5 lines from the data.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
Finally, let's have a look at the product with the highest number of reviews by customers.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
Summary
In this post, we have gone through the below process to extract amazon bestseller listing 
using Python..
Library Installation
Parsing Bestseller HTML Page
Extracting Info from each page
Combining it in data frame
Converting and saving it in CSV format.
Here is what the CSV format code will look like by the end of the project.
https://www.iwebdahtattspcsra:/p/winwgw.c.oiwme/bwdeabt-assccrarappiningg-s.ecrovmic/ews.epbh-pscraping-services.php https://www.iwebdatascraping.com/mobile-apps-data-scraping.php
That’s it for this project. If you still are not getting the process, or you have a time limit for 
your business, iWeb Data scraping can help you with hwttpse://wbww .iwsebcdatrasacrapingi.ncomg/we bs-scerapringv-seircvices.pshp, you are just a 
single mail away from us.
CONTACT US
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