Flipkart's review section is where Indian e-commerce buying decisions actually happen — a single five-star photo review on a smartphone listing can drive thousands of conversions, and a single verified-buyer complaint can sink an SKU during a festival sale. The native Flipkart UI shows you only filtered, paginated reviews; it doesn't let you bulk-export the full thread for analysis. This page does.
Why export Flipkart reviews
Flipkart is the dominant e-commerce platform in India by GMV, and its review section behaves differently from Amazon's — third-party sellers can fulfill the same SKU under different pin codes, Big Billion Days reviews dominate the corpus, and photo reviews carry outsized weight with mobile-first buyers. Common analytic moves:
- Marketplace seller triage — filter by
seller_nameto isolate your own SKU's reviews from the third-party sellers fulfilling the same product page. - Festival sale comment audit — Big Billion Days (Sept/Oct) and Republic Day Sale (Jan) generate review surges with very different sentiment patterns vs steady-state weeks; bucket by
posted_atto see them. - Photo-review heatmap — Flipkart buyers post buyer-submitted photos at unusually high rates; filter to reviews with
photos != []for the UGC content gold mine. - Verified-purchase filter — exclude unverified reviews (review-bombing or paid placements) before computing organic sentiment.
- Pin-code variance — reviewer_location reveals whether complaints cluster around specific delivery regions (often signals a logistics partner issue, not a product issue).
- Competitor benchmarking — bulk-export the top 3 competitor SKUs in your category and pivot rating distribution side-by-side.
How to export — step by step
Step 1: Copy the Flipkart product URL
Open the product page on flipkart.com. The URL looks like https://www.flipkart.com/<product-slug>/p/<item-id>. Either the desktop or mobile-web URL works — they redirect to the same canonical page. App share-links also work.
Step 2: Paste the URL into ExportComments.com
Paste the link into the input above. No login or signup needed for public Flipkart product listings — every product page on the storefront is publicly accessible to anyone (logged in or not).
Step 3: Click "Start Export Process"
The job runs server-side, paginating through every review on the product. Mid-size products (1k–5k reviews) finish in a couple of minutes; festival-cycle bestsellers with 50k+ reviews can take a few minutes longer. You can close the tab — we email you when it's ready.
Step 4: Pick a format
Excel (.xlsx) for pivot-table analysis, CSV for ingestion into a notebook or BigQuery, JSON for programmatic pipelines.
Inside the export — what fields you get
- reviewer_name — display name on the review
- reviewer_location — city / region when shown (Flipkart shows pin-code level for some categories)
- rating — 1-5 star rating
- title — review headline
- body — full review text (Hindi / Tamil / Telugu / Bengali / etc preserved in their original script)
- language — best-effort language code detected from the review body
- verified_purchase — Flipkart's verified-buyer flag
- photos — list of buyer-submitted photo URLs (high signal — most Flipkart buyers don't post photos)
- helpful_count — "Helpful" vote count
- seller_name — the third-party seller fulfilling THIS review (critical for marketplace sellers to isolate own-SKU sentiment)
- variant — product variation when present (size / colour / storage)
- posted_at — review date
- permalink — direct link to the review
Common workflows for Indian sellers + brands
- Big Billion Days review burst triage — schedule a weekly export for the last 4 weeks of September. If
rating ≤ 2spikes vs the baseline, you have a return-rate problem before the seller dashboard surfaces it. - Third-party seller leak detection — when multiple sellers fulfill the same listing, negative reviews from competing sellers (counterfeit / mishandling) drag down YOUR product rating. Use
seller_namefiltering to prove this to Flipkart support. - Multi-state delivery audit — pivot
reviewer_locationagainstratingto find regions where complaints cluster. Often points at one logistics partner, not the product. - Photo-review syndication — pull verified five-star photo reviews into a marketing image bank for Instagram and WhatsApp campaign creatives (the buyer has implicitly consented by posting publicly).
- Cross-platform sentiment — combine with our Amazon India reviews exporter to compare same-SKU sentiment across both platforms.
Plan limits & API access
Per-product size scales with your plan. Free (no signup): up to 100 reviews per product. Personal: 5,000. Premium: 50,000. Business: 250,000 — see pricing for the full feature comparison and API tiers for the API-specific limits.
If you need to run scheduled exports against a basket of SKUs (weekly brand-audit cadence is the common pattern), the same export is available via REST API on Premium and Business plans — point a webhook at your own service and get JSON deliveries every Monday morning.