Pricing

from $0.01 / 1,000 review extracteds

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CVS Product Reviews Scraper

Try for free

Extract public CVS product reviews with ratings, text, verified-purchase signals, quality dimensions, helpful votes, media, and merchant replies.

Pricing

from $0.01 / 1,000 review extracteds

Rating

5.0

(1)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Changelog

2026-07-19

Features

Initial release for collecting public CVS product reviews from product URLs, review URLs, or numeric product IDs.
Includes star ratings, written feedback, reviewer and verified-purchase signals, recommendation, rating dimensions, helpful votes, media, and merchant replies.
Supports per-product limits, ordering, star filters, date windows, and optional exclusion of ratings-only entries.

Cvs Reviews Spider

hello.datawizards/cvs-reviews-spider

Extract structured customer reviews from CVS product pages with the Cvs Reviews Spider. Get ratings, titles, review text, product details, and brand insights in clean JSON. Ideal for sentiment analysis, research, quality monitoring, and automated data workflows.

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Cvs Parser Spider

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The CVS Parser Spider Apify Actor efficiently extracts and parses customer reviews from CVS product pages, delivering structured JSON data on ratings, titles, and full text....

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Cvs Product Reviews Scraper

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Extract detailed product reviews from CVS.com, including ratings, titles, and metadata, to fuel market research and competitive analysis. Features batch processing, proxy support, and scalable JSON output for reliable, structured data integration.

GetDataForMe

Cvs Scraper

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Apify Actor that scrapes CVS product data—names, prices, descriptions, images— from multiple URLs. Delivers reliable, fast JSON output for market research, price monitoring, competitive intelligence, and business automation. User-friendly, scalable, and no coding needed.

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🛒 Extract recent public Newegg customer reviews, verified-purchase signals, helpful votes, media, vendor replies, and full product rating summaries.

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Extract individual Sephora customer reviews, ratings, reviewer attributes, verified purchase signals, helpful votes, photos, and product context.

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Extract public AliExpress product reviews with ratings, text, buyer countries, variants, media URLs, helpful votes, and seller replies.

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Extract Amazon product reviews including star rating, review text, verified purchase status, helpful votes, reviewer info, images, and variant $4.00/1K. MCP/API-ready.