Flipkart Review Scraper - API Based

What does Flipkart Review Scraper do?

Flipkart Review Scraper collects publicly visible product information and customer reviews from Flipkart product pages. Enter a product URL and the Actor requests the product review API, follows the requested number of review pages, removes duplicate review IDs, and stores clean JSON records in the default dataset. The result is useful for product research, sentiment analysis, catalog enrichment, competitor monitoring, and customer-feedback reporting.

The Actor can save both a product_info record and individual review records. Review records may include the reviewer name, star rating, review title and text, date, verified-buyer flag, location, helpful votes, product attributes, attached images, and the review URL. Product records may include the product title, rating summary, price, availability, key specifications, and product images.

Why use this Actor?

• Collect structured review data instead of parsing HTML manually.
• Filter reviews by minimum star rating.
• Choose most helpful, most recent, positive-first, or negative-first ordering.
• Limit the number of pages to control runtime and dataset size.
• Use Apify Proxy when requests need more reliable access to Flipkart endpoints.
• Download the results as JSON, CSV, Excel, XML, or RSS from the dataset view.

Input

The required productUrl must be a public Flipkart product URL. The other fields are optional:

Field	Type	Description
productUrl	string	Flipkart product URL to process.
maxPages	integer	Maximum review pages to request; approximately ten reviews per page.
sortOrder	string	MOST_HELPFUL, MOST_RECENT, POSITIVE_FIRST, or NEGATIVE_FIRST.
minRating	number	Minimum rating from 0 to 5. Use 0 to keep all ratings.
includeProductInfo	boolean	Adds one product summary record when available.
useProxy	boolean	Enables Apify Proxy for requests.
proxyConfig	object	Optional Apify Proxy configuration. Indian residential routing is recommended for Flipkart access.

Example input:

{
  "productUrl": "https://www.flipkart.com/samsung-guru-music-2-b310ed/p/itmc77fb727f1cf5?pid=MOBHDFT9GTFDDXP6",
  "maxPages": 2,
  "sortOrder": "MOST_HELPFUL",
  "minRating": 0,
  "includeProductInfo": true,
  "useProxy": true
}

Output

Each dataset item has a type of either product_info or review. A review item looks like this:

{
  "type": "review",
  "id": "review-id",
  "author": "Customer name",
  "rating": 5,
  "title": "Good product",
  "text": "The product works as expected.",
  "created": "2024-01-15",
  "certifiedBuyer": true,
  "location": { "city": "Bengaluru", "state": "Karnataka" },
  "helpfulCount": 12,
  "upvotes": 12,
  "downvotes": 1,
  "productAttributes": [],
  "images": [],
  "reviewUrl": "https://www.flipkart.com/"
}

How to use

1. Open the Actor's Input tab.
2. Paste a Flipkart product URL.
3. Select the page limit, sort order, and rating filter.
4. Click Start.
5. Open the run's default dataset to inspect or export the results.

Tips and limitations

Keep maxPages modest for quick tests. Flipkart can rate-limit or change API responses, so proxy use is recommended for production runs. If a product has no accessible review data, the run may finish with an empty dataset. Only submit URLs and collect information that you are permitted to process, and respect Flipkart's terms, robots directives, and applicable laws.

FAQ, disclaimers, and support

This Actor accesses publicly available web data. It does not bypass authentication, paywalls, or private accounts. You are responsible for using the output lawfully, respecting third-party rights, and complying with Flipkart's terms of service. Do not use the Actor to collect sensitive personal information or to make decisions about individuals. For a reproducible issue, include the Actor run URL, input (without secrets), timestamp, and relevant log lines in the Actor's Issues tab. You can also use the API tab to integrate the Actor into an approved workflow.