Pricing

from $1.50 / 1,000 reviews

Flipkart Reviews Scraper

Scrape Flipkart reviews & ratings in seconds. Flipkart product review scraper with star-wise rating count, total ratings, total reviews, review text, helpful votes & verified buyer data. Best for eCommerce research & sentiment analysis.

Pricing

from $1.50 / 1,000 reviews

Rating

0.0

(0)

Developer

Wibuild

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Flipkart Reviews Scraper Actor

The Flipkart Reviews Scraper Actor collects Flipkart product reviews into clean, analysis-ready JSON.

Provide a Flipkart product URL (or reviews URL) and how many reviews you want.
The actor returns structured review rows you can export to CSV/Excel or plug into analysis pipelines.

What this actor does

Given a Flipkart product / reviews link, the actor:

Collects customer reviews (newest first) up to your maxreviews limit
Standardizes each review into a consistent schema
Extracts product metadata (product_name, product_id, listing_id)
Extracts product variant text when available (e.g. Quantity: 80 ml)
Deduplicates reviews by review_id

Inputs

1. `URL` (required)

Flipkart product URL or review URL, for example:

Product page: https://www.flipkart.com/.../p/itm...?pid=...&lid=...
Reviews page: https://www.flipkart.com/.../product-reviews/itm...?pid=...&lid=...

pid in the URL is required.

2. `maxreviews` (required)

Maximum number of reviews to collect (minimum 1).

Output

Each dataset item is one review with these fields:

Field	Description
`product_name`	Product title
`product_id`	Flipkart product id (`pid`)
`listing_id`	Flipkart listing id (`lid`)
`review_id`	Unique review id
`product_variant`	Variant text (e.g. `Quantity: 80 ml`)
`review_date`	Approximate date (`YYYY-MM-DD`) derived from Flipkart relative text
`review_title`	Review title
`review_rating`	Star rating (1–5)
`review_text`	Full review text
`photo_urls`	Comma-separated photo URLs (if any)
`video_urls`	Comma-separated video URLs (if any)
`customer_name`	Reviewer name
`helpful`	Helpful vote count
`not_helpful`	Not-helpful vote count
`verified_purchase`	Whether review is from a verified/certified buyer

Example:

{
  "product_name": "DENVER Hamilton EDP- ...",
  "product_id": "PERGT2RWAXHBU6N6",
  "listing_id": "LSTPERGT2RWAXHBU6N64AE3BS",
  "review_id": "a5f6947e-e8ff-4cde-af1c-56555ca32624",
  "product_variant": "Quantity: 80 ml",
  "review_date": "2026-08-09",
  "review_title": "Worth the money",
  "review_rating": 4,
  "review_text": "Best",
  "photo_urls": null,
  "video_urls": null,
  "customer_name": "Yogesh Kapadiya",
  "helpful": 0,
  "not_helpful": 0,
  "verified_purchase": true
}

Notes

Flipkart does not expose exact review timestamps; review_date is approximated from relative text like Today / 3 days ago.
Flipkart may stop returning deeper pages on very large review sets (a platform-side listing limit).

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