Flipkart Product Reviews Data — Ratings, Text & Certified Buyers
Send a Flipkart item ID or product URL and this source returns the product's customer reviews as data: rating, title, text, author, date, location, certified-buyer flag, helpful and downvote counts, and photos.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "flipkart_product_reviews",
"product": "itm235cd318bde73",
"max_items": 2,
"start_page": 1,
"partial": false,
"human": "# Flipkart product reviews\n\n- **Product:** itm235cd318bde73\n- **Starting page:** 1\n- **Max items:** 2\n- **Records returned:** 2\n- **Proxy traffic:** 127.8 KB",
"machine": {
"total_items": 2,
"first_item": {
"id": "3e48f6f7-5c19-4e7b-b0b9-011a36c700fa",
"rating": 5,
"title": "Fabulous!",
"text": "Awesome 😎",
"author": "Thakur Surya Pratap Singh",
"date": "Jan, 2025",
"location": "Hanumana, Madhya Pradesh",
"is_certified_buyer": true,
"helpful_count": 2760,
"downvote_count": 635,
"images": [
"https://rukminim1.flixcart.com/blobio/832/832/imr/blobio-imr_77a6110d6ba14da0a3c063c4b88bbdc4.jpeg?q=70"
]
},
"items": [
{
"id": "3e48f6f7-5c19-4e7b-b0b9-011a36c700fa",
"rating": 5,
"title": "Fabulous!",
"text": "Awesome 😎",
"author": "Thakur Surya Pratap Singh",
"date": "Jan, 2025",
"location": "Hanumana, Madhya Pradesh",
"is_certified_buyer": true,
"helpful_count": 2760,
"downvote_count": 635,
"images": [
"https://rukminim1.flixcart.com/blobio/832/832/imr/blobio-imr_77a6110d6ba14da0a3c063c4b88bbdc4.jpeg?q=70"
]
},
{
"id": "8bc97ba1-1c99-4a14-b2ca-59412c9127e9",
"rating": 5,
"title": "Awesome",
"text": "Switch from OnePlus to iPhone I am stunned with camera performance. Everything is perfect on iPhone 15.",
"author": "Nikhil Kumar",
"date": "Jan, 2024",
"location": "Meerut Division, Uttar Pradesh",
"is_certified_buyer": true,
"helpful_count": 3308,
"downvote_count": 774,
"images": [
"https://rukminim1.flixcart.com/blobio/832/832/imr/blobio-imr_9758e48e16b54769976852234c0ff72c.jpeg?q=70",
"https://rukminim1.flixcart.com/blobio/832/832/imr/blobio-imr_de46738b1c1a43a89aa057e58d016978.jpeg?q=70"
]
}
],
"proxy_traffic_bytes": 130886
},
"total_points": 2
}- You send
- A Flipkart item ID or product URL
- You get back
- Reviews with rating, title, text, author, date, location, certified-buyer flag, helpful and downvote counts, and photos
- Coverage
- Customer reviews on Flipkart products with a public reviews section.
- Price
- 1 point per returned review, up to 500 per request — $1 per 1,000
- Billed per review actually returned, capped by max_items. A product with no reviews costs nothing.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Reading reviews on the site | Open the product, page through reviews, copy what matters | Free, and slow | Fine for a skim, impractical for analysis |
| Building a scraper | Write it, host it, and repair it when Flipkart changes the reviews page | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request, product and depth as parameters | $1 per 1,000, misses not billed | You pay per review returned, so reading deep into a popular product adds up |
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
total_items | number | How many reviews were returned in this batch (capped by max_items). |
id | string | Review ID. |
rating | number | Star rating given. |
title | string | Review headline. |
text | string | Review text. |
author | string | Reviewer name as shown. |
date | string | Review date as Flipkart displays it, e.g. a month and year. |
location | string | Reviewer location as shown. |
is_certified_buyer | boolean | Whether the review is marked as from a certified buyer. |
helpful_count | number | Helpful votes on the review. |
downvote_count | number | Downvotes on the review. |
images | array | Photo URLs attached to the review. |
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
product is the only required field. max_items caps the review count (up to 500, defaults to 10) and sets what you're billed for; start_page sets the page to begin from.
curl -X POST https://api.neuralverge.ai/functions/v1/run-flipkart-product-reviews \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "product": "itm235cd318bde73", "max_items": 2 }'What teams use it for
Where this field shows up in an actual workflow.
Read what customers say about a product, in their own words.
Find recurring complaints and praise about a competing product.
Separate certified-buyer reviews from the rest before analysing sentiment.
Compare the written reviews with the product's headline rating.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Customer reviews on Flipkart products with a public reviews section.
Read at request time.
This source returns publicly visible reviews, stamped with the product it was read from and a session id you can trace. Reviews carry author names and locations as the site shows them, so handle them under your own privacy obligations.
- —Reviews come back in the order Flipkart presents them, not necessarily newest first.
- —Dates are shown as month and year, as the site displays them.
- —Review text is in whatever language the customer wrote it in.
Questions, answered
Yes — product accepts either a Flipkart item ID or a full product URL.
Related sources
Try flipkart product reviews on your own data
One request format across every source in the catalog.