Total Wine Liquor Data Extraction Case Study  Actowiz Solutions
                     Total Wine Liquor Data Extraction Case Study | 
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
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The primary obstacle for our client was the sheer scale and regional variability 
of Total Wine’s inventory. Alcohol availability and pricing are heavily influenced 
by state-specific liquor laws, meaning a "nationwide" view requires localized 
extraction at the zip-code level.
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B. Comprehensive Data Schema
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Grape Variety.
Commercial Data: Current Price, Original Price (for discount tracking), and 
Stock Availability.
Supply Chain Identifiers: Vendor name, Manufacturer, and internal 
SKUs/MPNs.
Data Delivery & Frequency
Understanding that "stale data is bad data," Actowiz offered two distinct 
delivery models:
One-Time Historical Snapshot: A comprehensive CSV/JSON export of the 
current market state for baseline analysis.
Recurring Data Feed: An automated, updated liquor data feed delivered 
weekly via S3 bucket or API integration. This allowed the client to 
track price fluctuations and new product launches in real-time.
Sample Data Presentation
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Feasibility, Timeline, and Pricing
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coBmeplnexe refitatils sites like Total Wine.
Estimated Timeline:
Initial Setup & Customization: 3–5 business days.
Full Nationwide Crawl: 48–72 hours (depending on the depth of 
historical data required).
Regular Updates: Real-time or scheduled (Daily/Weekly).
Pricing Model:
Actowiz operates on a Value-Based Pricing model. Costs are typically 
calculated based on:
Volume of Records: Number of unique SKUs extracted.
FInrIentqtrureonodcdyu:u cOctnteio-itimne vs. recurring monthly subscription.
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vatrsyt  seerar oorfs  ibnfyo r9m0at%ion.  lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Conclusion: Data as a Competitive Moat
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Restaurant Data – A Detailcee
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
Waen awlyilsli sn, aavnigda itnen othvarotiuvgeh p trhesee ninttartiicoanc.i eFso ro tfh Zoosem iant ot hSec rtaopuerirs,m u,n hcosvpeirtianlgit yi,t so rc tarpaavbeill istieecst otros , 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
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Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for 
IWdnigtitharl asototdre furiosnct s.ta Mi oodDenrn ctonasusmerst a?re discerning, often prioritizing price comparison as a pivotal step before purchasing. The allure of securing the best deals and most competitive 
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ism iunssta atidaebplet.ly  Aesm pfolooyd  ceonmtpheutsiitaosrt sp riacned t rabcukseinrse stsoe sst asye aehke athde.  latest insights into menus, 
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indfoartma,a toiffone.ring insights into the broader market's pricing landscape. Such price intelligence 
empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit 
Omura crgoimnsp,r eahnedn sifvoes tgeuriindge  dceulsvteosm ienrt o lothyea ltiny.t riMcaotree oavrte ro, f au tildizaitnag- dtrhivee Zno meCaotom AmPeI rtcoe  scprraicpien g 
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troepntdims, itzhaitsi ognu iadned w siolll isdeifirvees a sr eytoauilre cr'osm ppoassitsio in itnh eth weo fireldr coefl yd actoam epxetrtaitcivtieo ne.Commerce arena.
We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to 
provide you with rich, real-time restaurant data. From scraping restaurant details to 
accessing customer reviews, our detailed guide ensures that you harness the full potential of 
this resource.