Flipkart Reviews

Pulls Flipkart customer reviews for any FSN or product URL: a rating summary with the full 1 to 5 histogram, then every review page in order. Each review carries the author, star rating, title, body text, helpful votes, the certified-buyer flag, the reviewer's city and state, the variant bought and any uploaded photos. Built for voice-of-customer work on India's largest marketplace.

What you get

• A summary row per product with average_rating, rating_count, review_count and histogram_1_to_5.
• Full review text, not a snippet: title and text exactly as published.
• Trust signals on every review: certified_buyer, helpful_count and downvotes, plus reviewer geography in city and state.
• The variant reviewed, which is how you separate complaints about one size or colour from the rest.
• Review photos in images at full resolution, and four orderings: most helpful, latest, positive first or negative first, plus a certified-buyers-only switch.

Input

products is required. Everything else shapes how many reviews and in what order.

{
  "products": ["PSLGFSY3FKSMGZVZ"],
  "maxPages": 3,
  "sort": "MOST_HELPFUL",
  "certifiedOnly": false,
  "concurrency": 2,
  "delayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

• products: Flipkart FSNs or product URLs.
• maxPages: review pages per product, 1 to 200, at 10 reviews each.
• sort: MOST_HELPFUL, MOST_RECENT, POSITIVE_FIRST or NEGATIVE_FIRST.
• certifiedOnly: restrict to verified purchases.
• proxyConfiguration: residential country IN is the default. concurrency runs 1 to 4 products in parallel.

Output

Two kinds of row, told apart by row_type. The first row per product is the summary; the rest are review rows. A one-page run returns 11 rows, a two-page run 21.

{
  "row_type": "review",
  "fsn": "PSLGFSY3FKSMGZVZ",
  "product_title": "MUSCLEBLAZE Biozyme Performance Whey Protein",
  "page": 1,
  "position": 1,
  "author": "Flipkart Customer",
  "rating": 5,
  "title": "Terrific purchase",
  "text": "Mixes well, no lumps, and the chocolate flavour is not too sweet.",
  "created": "3 months ago",
  "helpful_count": 214,
  "certified_buyer": true,
  "city": "Pune",
  "state": "Maharashtra",
  "variant": "Flavour: Rich Chocolate, Weight: 1 kg",
  "images": [],
  "fetched_at": "2026-09-11T08:57:51.443Z"
}

The summary row carries average_rating, rating_count, review_count and histogram_1_to_5 instead of the per-review fields. created is Flipkart's own relative wording, not an absolute date, and images is empty for text-only reviews.

Use cases

• Voice-of-customer mining: cluster text by theme, weight by helpful_count, and detect defects by grouping 1 and 2 star reviews on variant.
• Regional sentiment analysis using city and state against rating.
• Review-velocity and rating drift from the summary row's review_count and histogram_1_to_5.
• Authenticity screening by comparing certified_buyer rates against a competitor's.

Notes and limits

• 10 reviews per page. maxPages accepts 1 to 200, so up to 2,000 reviews per product per run.
• A product with no reviews still emits its summary row, verified on an invented FSN that returned exactly one row and zero reviews.
• Paging stops early when Flipkart reports no further pages. created is relative wording, so convert it against fetched_at if you need real dates.
• These rows carry no sponsored or ad flag. concurrency is capped at 4 products in parallel.

FAQ

Do I need a proxy? A residential proxy in India is recommended and is the default. The review pages are served without one at low volume.

How many results can I get? Up to 200 pages of 10 reviews per product, so 2,000 reviews, plus a summary row. There is no cap on how many products you submit.

Does it need login or an API key? No Flipkart account, cookie or key is required.

How do I get only genuine buyers? Set certifiedOnly to true and Flipkart returns only verified purchases. Every row still carries certified_buyer, so you can audit the filter.