Flipkart hides most of its reviews behind a paginated infinite scroll — this gets you all of them in one Excel file.

Why export Flipkart reviews

Flipkart is India's largest e-commerce platform, and its review section is one of the richest signals for product research, brand monitoring and competitive analysis in the Indian market. The catch: Flipkart paginates aggressively and breaks copy-paste with a custom DOM. An export gives you the full review history — including third-party seller attribution and Big Billion Days surge reviews — as a structured dataset.

  • Indian-market product research — Quantify what real Indian buyers say about a category before launching.
  • Brand sentiment monitoring — Track your own product reviews across sellers — Flipkart treats each seller as a separate review pool.
  • Competitive teardown — Pull every review of the top three SKUs in your category for a side-by-side analysis.
  • Counterfeit detection — Filter by seller and complaint keywords ("fake", "different model") to spot grey-market listings.

How to export — step by step

Step 1: Copy the Flipkart product URL

Use the canonical product URL (e.g. flipkart.com/<product-slug>/p/<id>). Search-results URLs aren't supported — point at the product page.

Step 2: Paste on ExportComments.com

Open the Flipkart Reviews Exporter and paste the URL.

Step 3: Click "Start Export Process"

The exporter paginates through every review across every seller for that product and merges them into a single dataset.

Step 4: Download Excel / CSV / JSON

Photos are returned as comma-separated URLs in the Photos column — open them with a quick-lookup formula or your image grid tool of choice.

Inside the export — what fields you get

  • Author — Reviewer display name (Flipkart hides full names; first-name + initial is standard).
  • Date — ISO timestamp.
  • Rating — Star rating 1–5.
  • Title — Review title (the bold one-liner above the body).
  • Review — Full review text.
  • Summary — Flipkart's algorithmic summary of the review.
  • SkuInfo — Variant / colour / size the reviewer bought.
  • Up Votes / Down Votes — Helpful and unhelpful counts.
  • Helpful Count / Report Count — Aggregate engagement metrics.
  • Verified Purchase — True if Flipkart confirms the reviewer bought via the platform.
  • Location — Reviewer's stated city/state.
  • Photos — Comma-separated photo URLs uploaded by the reviewer.
  • Product URL / Review URL — Direct links back to the product and review pages.

Common workflows

  • Verified-buyer signal — Filter Verified Purchase = true before running sentiment — strips out promotional/competitor noise.
  • Photo-attached complaint triage — Filter Rating ≤ 2 AND Photos non-empty — these are your highest-priority customer-service tickets.
  • Multi-seller benchmark — Group by SkuInfo to compare review quality across resellers of the same product.

Plan limits & API access

Free 100 / Personal 5,000 / Premium 50,000 / Business 250,000 comments per export. See pricing for the full breakdown. The REST API is available on Premium and Business plans.

FAQ

  • Does it work for Flipkart-exclusive brands?
    Yes — any public product page works, including Flipkart's own brands like SmartBuy.
  • Can I export reviews from a specific seller only?
    Filter the export by SkuInfo or seller name after download. The exporter pulls all sellers in one pass for completeness.
  • Are Hindi / regional-language reviews handled?
    Yes. Unicode passes through cleanly; use the Sentiment Analysis add-on or your own pipeline to translate.
  • Can I schedule this?
    Yes on Premium/Business — useful for tracking review velocity around Big Billion Days or new launches.

Open the exporter and try it on your own URL.