Flipkart Reviews Scraper

What does Flipkart Reviews Scraper do?

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Flipkart Internet Private Limited or any of its subsidiaries. "Flipkart" is referenced only to describe the publicly available website this Actor collects data from.

This Flipkart reviews scraper turns public Flipkart product pages into clean, structured Flipkart review data you can export, schedule, and reuse. Paste product URLs, product-review URLs, or bare product IDs — then extract Flipkart reviews, star ratings, photos, and per-product rating summaries in bulk. ✅

As a Flipkart product reviews tool and practical Flipkart review API alternative, it helps teams run ecommerce review scraper workflows, product review mining, and ecommerce reputation monitoring across India’s largest marketplace — without building a custom crawler.

Open it in Apify Console, paste your URLs, hit Start — reviews stream into your dataset as they arrive.

✨ What can this Flipkart review scraper do?

• 🔗 Flexible bulk input — product URLs, review-page URLs, bare product IDs, or a mix
• ⭐ Reviews + summaries — every individual review and a per-product rating roll-up
• 🔀 Sort like Flipkart — most helpful, most recent, positive first, or negative first
• ✅ Verified buyers — optional certified-buyer / verified-purchase filter
• 🎯 Rating filters — keep only the star range you need for Flipkart sentiment analysis
• 🖼️ Review photos — resolve Flipkart review photos to the width / height / quality you choose
• 🧹 Clean duplicates — drop repeat review IDs automatically
• ⚡ Live results — watch Flipkart customer reviews land while the run is still going
• 🗂️ Sectioned output — Reviews · Product summaries · Run summary
• 🧩 Apify platform powers — scheduling, monitoring, API access, MCP, webhooks, and 1,000+ integrations

📦 What data can you extract from Flipkart reviews?

🗂️ Section	📌 What you get
⭐ Review core	Title, body, Flipkart star ratings (1–5), derived sentiment
👤 Reviewer	Author name, city / state / location when published
📅 Dates	Display date + normalized ISO
✅ Trust signals	Certified buyer / verified purchase flags
👍 Engagement	Upvotes, downvotes, total votes
🖼️ Media	Review image URLs, image count, video flag
🛍️ Product context	Product name, ID, attributes / variants (color, size…)
🔗 Links	Review URL, product URL, source URL
📊 Product summary	Average rating, histogram, review count, positive / negative feedback %

🌟 Why scrape Flipkart reviews?

Public Flipkart customer reviews are a goldmine for VOC, brand health, and competitor quality signals. A dedicated Flipkart feedback scraper and product review scraper India workflow helps you:

• 📈 Track Flipkart rating scraper trends and spikes after launches or price changes
• 🧠 Build a Flipkart review dataset for NLP, topic mining, or Flipkart sentiment analysis
• 🛡️ Run ecommerce reputation monitoring across SKUs and categories
• 🖼️ Collect Flipkart review photos for visual quality and unboxing insights
• 📤 Use this Flipkart review exporter to feed Sheets, warehouses, or agent pipelines

🚀 How to scrape Flipkart reviews (Apify Console)

1. Open Flipkart Reviews Scraper in Apify Console
2. Paste one or more Flipkart product or product-review URLs into Flipkart Product / Review URLs (bulk supported)
3. Optionally add bare Product IDs from spreadsheets
4. Set Max Reviews per Product, sort order, and any rating / verified-buyer filters
5. Click Start and follow live progress in the log
6. Open Output, switch sections, and export JSON / CSV / Excel / XML — or pull via API

💡 Tip: URLs that include pid (and lid when available) give the most reliable scrape Flipkart ratings results.

📥 Input

Simple JSON — no coding required:

{
    "startUrls": [
        "https://www.flipkart.com/adidas-ampligy-m-running-shoes-men/product-reviews/itmab79cd4ce225d"
    ],
    "maxReviewsPerProduct": 50,
    "sortBy": "MOST_HELPFUL",
    "certifiedBuyerOnly": false
}

Field	Description
🔗 startUrls (required)	Product or product-review URLs — core of this Flipkart reviews scraper
🆔 productIds	Bare Flipkart product IDs as an alternative / addition to URLs
⭐ maxReviewsPerProduct	Cap reviews collected per product
📄 maxPages	Safety cap on review pages per product
🔀 sortBy	MOST_HELPFUL · MOST_RECENT · POSITIVE_FIRST · NEGATIVE_FIRST
✅ certifiedBuyerOnly	Only verified-purchase reviews
⭐ minRating / maxRating	Keep a star range for focused product review mining
🏷️ aspectId	Advanced aspect tab filter (e.g. Comfort, Camera)
🖼️ Image options	Width / height / quality for resolved photo URLs
🧹 dedupeReviews	Drop duplicate review IDs
📊 includeProductSummary	Save per-product rating summaries
Performance	Concurrency, retries, timeouts, polite delay

See the Input tab for every option with helpful defaults.

📤 Output

One dataset item per review — ready for CRM import, spreadsheets, or your own Flipkart VOC data pipeline:

{
    "id": "09f9a2ef-3a95-40e0-b1c9-02c7eb810459",
    "product_name": "adidas ampligy m running shoes men",
    "product_id": "SHOG9XNXUQQBHDEZ",
    "rating": 5,
    "sentiment": "positive",
    "title": "Super!",
    "text": "Very good condition and original product very nice look",
    "author": "Virender Kumar",
    "location": "Hisar, Haryana",
    "date": "Apr, 2023",
    "certified_buyer": true,
    "upvotes": 92,
    "downvotes": 19,
    "review_images": ["https://rukminim1.flixcart.com/blobio/1280/1280/imr/....jpg?q=100"],
    "product_attributes": { "Color": "FTWWHT/AMBSKY/STONE", "Size": "9" },
    "url": "https://www.flipkart.com/reviews/SHOG9XNXUQQBHDEZ:33?reviewId=09f9a2ef-3a95-40e0-b1c9-02c7eb810459"
}

🗂️ Output views & files

View / file	Shows
⭐ Reviews	One row per review (Overview + Full data views)
📊 Product summaries	Rating averages, histograms, feedback % (OUTPUT_PRODUCTS)
📑 Run summary	Totals for the run (OUTPUT)

🤖 Use via API (Flipkart review API style)

Call the Actor like a lightweight Flipkart review API and get dataset items back:

curl -X POST "https://api.apify.com/v2/acts/<YOUR_USERNAME>~flipkart-reviews-scraper/run-sync-get-dataset-items" \
     -H "Authorization: Bearer $APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{
           "startUrls": ["https://www.flipkart.com/adidas-ampligy-m-running-shoes-men/product-reviews/itmab79cd4ce225d"],
           "maxReviewsPerProduct": 50
         }'

Schedule Flipkart review monitoring, connect Zapier / Make / n8n, or pipe results into agents via Apify MCP.

🎯 Best use cases for this ecommerce review scraper

• 🛡️ Ecommerce reputation monitoring across SKUs and competitors
• 🧠 Flipkart sentiment analysis and topic mining on Flipkart customer reviews
• ⭐ Track Flipkart star ratings and histogram shifts after campaigns
• 🖼️ Collect Flipkart review photos for QA and visual research
• 📤 Flipkart review exporter workflows into Sheets, warehouses, or BI tools
• 🧪 Build a reusable Flipkart review dataset for ML / NLP projects

🔗 Integrations & related Actors

This Flipkart product reviews Actor works with Apify’s API, schedules, webhooks, and popular destinations (Sheets, Slack, warehouses, and more).

Actor	What it helps with
Flipkart Product Scraper	Full product, price, specs, seller, and offer data
Google Ads Transparency Center Scraper & API	Competitor ad creatives and brand ad tracking
Y Combinator Scraper	Startup directory, founders, and job listings

Need a custom pipeline (alerts, multi-marketplace VOC, or private enrichment)? Email hello.insights.data@gmail.com.

❓ FAQ

Can I use a product URL instead of a review URL?

Yes — both product and product-review URLs are accepted by this Flipkart reviews scraper.

Can I scrape multiple products in one run?

Yes — add as many rows as you like to startUrls, or mix in productIds for bulk extract Flipkart reviews jobs.

Why are some fields empty?

Flipkart does not publish every field for every review (location, photos, etc.). Empty fields reflect what is publicly shown.

Can I keep only verified buyers or a star range?

Yes — use certifiedBuyerOnly and minRating / maxRating for focused Flipkart feedback scraper runs.

Can I get results in Python or JavaScript?

Yes. Use the Apify API / SDKs to pull Flipkart review data into Python, Node.js, or any HTTP client — the same pattern as a lightweight Flipkart review API.

Is scraping Flipkart reviews allowed for research?

This Actor collects only publicly available review content. Use the data responsibly and in line with Flipkart’s terms and applicable laws. For compliance questions on a custom deployment, contact hello.insights.data@gmail.com.

🛟 Support & custom solutions

Bugs or feature ideas? Open an issue on this Actor’s Issues tab in Apify Console.

For custom scrapers, scheduled Flipkart review monitoring, private enrichment, or enterprise exports of Flipkart review data, email hello.insights.data@gmail.com — we build tailored solutions on top of this Actor.

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Data is collected only from Flipkart’s publicly available product and review pages. Intended for legitimate market research, reputation monitoring, and product analytics. Not affiliated with Flipkart.