Flipkart Reviews Scraper

Collect customer reviews from Flipkart product URLs for sentiment analysis, product research and review monitoring. Get ratings, review text, customer photos, verified-purchase flags and variant details in a structured dataset.

Features

• Newest feedback first: collect recent reviews or sort by helpfulness, lowest rating or highest rating.
• Detailed reviews: titles, text, ratings, authors, locations where available, helpful votes and verified purchases.
• Photos and variants: image URLs and the product variant associated with each review.
• Product and topic URLs: use ordinary product links, review-page links, or a review topic link such as Camera.
• Incremental monitoring: optionally stop at review IDs you collected previously.
• Clear run summaries: distinguish review limits, exhausted pages, zero-review products and incomplete retrieval.

How it works

1. Add one or more Flipkart product or review URLs.
2. Choose the maximum number of reviews and the review order.
3. Run the Actor and export the dataset as JSON, CSV or Excel.

URLs are processed in input order. The review limit applies to the whole run, so the first product can fill the limit. For equal coverage per product, run one product per task. Duplicate reviews are returned only once per run, including reviews shared across variants or topic pages.

Input

{
  "productUrls": [
    "https://www.flipkart.com/apple-iphone-16-black-128-gb/p/itmb07d67f995271?pid=MOBH4DQFG8NKFRDY"
  ],
  "maxItems": 50,
  "sort": "MOST_RECENT",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

Field	Default	Description
productUrls	Example product prefilled	Product or product-review URLs, up to 1,000. Short links and search URLs are not supported.
maxItems	50	Maximum unique reviews across the entire run; 1–100,000.
sort	MOST_RECENT	MOST_RECENT, MOST_HELPFUL, NEGATIVE_FIRST or POSITIVE_FIRST.
stopAtReviewIds	[]	Optional known review IDs. Stop each product when one is reached; requires MOST_RECENT.
proxyConfiguration	India residential	Standard Apify proxy settings. India residential proxies are recommended.

The Actor starts at page one regardless of the page number in your URL. A topic selected in a review URL is preserved. A selected sort applies to all URLs.

For scheduled monitoring, retain recent review IDs from the preceding run and pass them in stopAtReviewIds. The matching review and older records after it are excluded. Review order can change, so this is a stopping convenience rather than a guarantee that every newly added review will be discovered.

Sample output

Illustrative record; optional fields may be null or empty:

{
  "reviewId": "713cef68-ab50-4410-8ce3-d61fc80f8915",
  "reviewUrl": "https://www.flipkart.com/reviews/MOBH4DQF28XAYM2S:171?reviewId=713cef68-ab50-4410-8ce3-d61fc80f8915",
  "inputProductUrl": "https://www.flipkart.com/apple-iphone-16-black-128-gb/p/itmb07d67f995271?pid=MOBH4DQFG8NKFRDY",
  "requestedProductId": "MOBH4DQFG8NKFRDY",
  "productId": "MOBH4DQFG8NKFRDY",
  "reviewedProductId": "MOBH4DQF28XAYM2S",
  "rating": 5,
  "title": "Excellent",
  "text": "Example customer feedback.",
  "author": "Example buyer",
  "dateText": "5 months ago",
  "verifiedPurchase": true,
  "location": { "city": "Delhi", "state": "Delhi" },
  "upvotes": 1824,
  "downvotes": 449,
  "helpfulCount": 1824,
  "variantAttributes": [
    { "name": "Color", "value": "Pink" },
    { "name": "Storage", "value": "256 GB" }
  ],
  "images": [],
  "aspectId": null,
  "sort": "MOST_RECENT",
  "sourcePage": 1,
  "scrapedAt": "2026-09-17T12:00:00.000Z"
}

images contains direct image URLs when a review includes photos. requestedProductId can be null when your URL has no PID. productId identifies the review page; reviewedProductId identifies the reviewed variant and may differ. Flipkart often groups reviews across colors, capacities and other variants.

Dates retain the source wording, such as “Today”, “5 months ago” or a month and year. Exact dates are not invented for these labels. scrapedAt is the collection time.

Run summary and coverage

The Run summary output links to RUN-SUMMARY in the key-value store. It contains product rating summaries and a stopping status per URL:

Status	Meaning
max_items_reached	The run's review limit was reached.
budget_reached	The run's charging budget was reached.
known_review_reached	A supplied review ID was found.
zero_reviews	The product page reports zero reviews.
end_of_available_reviews	Repeated empty-page checks indicate the available stream ended.
partial	Saved reviews are available, but a gap, repeated page or retrieval limit prevented further progress.
failed	The product could not be read, including invalid or unavailable product pages.
not_started	An earlier product used the run's review or charging limit.

Temporary empty pages are retried. The Actor does not promise to retrieve every review shown in a product's total: counts and available pages can differ or change during a run. A partial or failed product marks the run as failed so scheduled workflows can detect the problem; already saved reviews remain available. There is a safety limit of 1,000 pages per product/topic and a bounded number of requests.

Pricing

$2.50 per 1,000 reviews — $0.0025 for each successfully saved, unique review.

Event	Price per result	Price per 1,000
Review (review)	$0.0025	$2.50

Duplicate reviews, empty pages, failed requests and product summaries do not trigger review charges. Fifty reviews cost $0.125 in review event charges. Set maxItems and the run's maximum charge to control spending.

Use cases

• Track product feedback and recurring complaints.
• Compare sentiment across competing products and variants.
• Collect verified-purchase feedback for research.
• Feed review text into dashboards, spreadsheets and sentiment analysis workflows.

Related Actors

• Flipkart Listings Scraper — Discover products by keyword or category, then pass their product URLs to the other Actors.
• Flipkart Product Details Scraper — Extract prices, offers, variants, sellers and specifications from product URLs or IDs.