Extract Public Customer Reviews & Ratings —
Structured & Analysis-Ready
Automated web scraping of public customer review text, star ratings, publication dates, and verified purchase tags across e-commerce marketplaces and review portals. Delivered as clean SQLite databases on a pay-on-delivery guarantee.
The Extraction Hurdle
Manual Review Copying Breaks Down on High-Volume Catalogs
Competitor products hold thousands of customer reviews across multiple marketplaces. Scraping them internally triggers immediate IP bans, pagination blocks, and messy HTML formatting.
Pagination & WAF Blocking
Retail portals strictly limit review pagination to 10-20 pages for standard bots and block IP clusters with Cloudflare or DataDome challenges.
Unstructured HTML Bloat
Raw web pages contain tracking scripts, emoji corruptions, and messy DOM structures that pollute data pipelines.
Internal Scraper Maintenance Waste
Engineering teams spend weeks maintaining Puppeteer/Playwright scripts instead of focusing on core business products.
The Solution
Deep Paginated Review Scraping & Text Normalization
We deploy distributed crawlers to sweep target product review sections, bypass perimeter defenses, and export clean, UTF-8 normalized text directly into SQLite databases.
- ✓ Comprehensive review metadata: review title, full text body, star rating (1-5), verified purchaser flag, and exact publication date
- ✓ Deep pagination crawling: crawls historical reviews across hundreds of pages without getting stopped by anti-bot barriers
- ✓ Multi-platform coverage: Amazon, Walmart, Trustpilot, Google Reviews, and regional marketplace stores
- ✓ Clean UTF-8 text output: stripped of HTML tags, tracking pixels, and malformed characters; ready for your data science pipeline
- ✓ Zero SaaS seat fees: no expensive recurring software subscription; pay only for the extracted dataset upon delivery
- ✓ Direct SQLite & CSV export: structured schemas that import cleanly into pandas, Python, SQL, or Excel
How It Works
From Product Links to Clean Review Tables
No software to install. No API rate limits. 100% pay on delivery.
Submit Target Product URLs
Provide the product page links, brand storefronts, or marketplace categories you want scraped.
We Extract Review History
Our pipeline crawls review pages, normalizes the text and ratings, and compiles the data into SQLite.
Inspect Sample & Settle
Review the sample dataset for text quality and row completeness. Pay only when you approve the delivered data.
Frequently Asked Questions
Common Questions About Our Review Scraping Service
No. We are not an NLP analytics or sentiment scoring SaaS platform. We do not claim to run automated sentiment algorithms. We deliver clean, structured, noise-free review text, star ratings, reviewer dates, and metadata in SQLite so your internal analytics or AI team can run whatever models they choose.
We scrape all publicly accessible historical reviews available on the listing pages, as well as execute scheduled recurring runs for newly posted feedback.
Target SKU / Product Name, Review Title, Full Review Body Text, Star Rating, Verified Buyer Status (Yes/No), Review Date, Reviewer Display Name (if public), and Review URL.
Our crawlers leverage faceted filtering (sorting by rating grade, verified status, and date order) to maximize pagination depth and gather comprehensive review archives.
We operate on a 100% pay-on-delivery guarantee. Most review scraping jobs provide an audit sample within 24–48 hours. You only pay after inspecting and approving the SQLite database.
Real Customer Feedback
Get Clean Review Datasets for Any E-Commerce Product
Send your target product links. Receive a free sample SQLite database within 48 hours.
Request Free Review Data Sample