Unknown author · Tools
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Extract PDP information from FK and highlight missing sizes, colors Flipkart PDP Scraper helps e-commerce/analytics teams validate option grouping and size/color coverage at scale. What it does • Scrapes Flipkart PDPs to read MRP, price, discount, ratings, seller, sizes (in-stock/OOS), and colors. • Smart Grouping: one FSN per optioncode (Sub-Cat + Color + MRP) to minimize hits and speed up runs. • Built-in checks: totalsizecount_check, totalcolors_check, and group-level TotalSkuExtracted with Groupcheck. • Parallel workers (up to 16) with live ETA and activity log. • One-click Excel export with frozen header, filters, and pass/fail color coding. How to use 1) Paste a Google Sheet ID/URL + sheet name OR upload a CSV. 2) Map columns (Sub-Cat, Color, MRP, FSN, groupname; optional: optioncode, totals). 3) Choose workers and start; Excel downloads automatically with appended results + checks. Privacy & data • No analytics, ads, or tracking. No personal/sensitive data collected or shared. • Data is processed locally in your browser. We open Flipkart PDPs to read page content you request and fetch CSV from docs.google.com when you provide a Sheet. • Local storage is used only for remembering your field mappings and settings. Disclaimer This tool is for operational QA/analysis. Not affiliated with or endorsed by Flipkart.
Sep 26, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.