Flipkart reviews

Returns customer reviews of Flipkart products from product or review page links. Each review includes its rating, title, text, author, date, verified-purchase status and helpful votes. Useful for sentiment analysis, product research and comparing feedback on competing products in India.

What you get

• Review ID, link and page number
• Star rating
• Review title and full text
• Reviewer name, city and state when shown
• Review date
• Verified purchase flag
• Helpful and unhelpful vote counts
• Review images
• Product name, IDs and variant such as colour or size
• Total review count for the product

What it can do

• Pass a product link or a product review link
• Collect reviews for several products in one run
• Set how many reviews to collect per product
• Duplicate reviews are removed automatically

Limits

• Up to 5000 results per run
• Search result and category pages are not accepted; use product or review links
• Only publicly visible data

Input options

Example

Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_flipkart_b directly through the REST API or MCP with an input like this:

{
  "max_pages": 200,
  "results_wanted": 20,
  "startUrl": "https://www.flipkart.com/adidas-ampligy-m-running-shoes-men/product-reviews/itmab79cd4ce225d"
}

How to use it

1. Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
2. Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server https://prolevelmax.com/mcp or call the REST API.
3. Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.

FAQ

More Flipkart sources

All Flipkart sources and prices