Efficiently scrapes product reviews from flipkart.com. Get detailed information of each reviews. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed.
Flipkart is one of the largest e-commerce platforms in India. It has a large number of products and reviews. This actor allows you to scrape reviews from Flipkart without having to write code. It gets you detailed information about the reviews, including the author, date, rating, title, content, upvotes, and downvotes.
Field | Type | Description |
---|---|---|
start_urls | array | It should be a valid product URL. |
max_items | integer | Maximum number of reviews you want to scrape. |
max_reviews_per_product | integer | Instead of using max_items , you can specify max_reviews_per_product to limit the number of reviews per product you defined in Start Urls. Leave it empty if you prefer Max Items option. |
sort_by | string | Sort reviews by this option. Valid values: MOST_HELPFUL , MOST_RECENT , POSITIVE_FIRST , NEGATIVE_FIRST . Default is MOST_HELPFUL . |
Check the Input Tab for more details.
The structure of each review looks like this:
1{ 2 "author": "Kuber Singh", 3 "date": "Jan, 2022", 4 "rating": 4, 5 "city": "Munger", 6 "state": "Bihar", 7 "title": "Wonderful", 8 "text": "Phone looks great in hand.\
Build quality is good and it looks premium.\
Display is good and it works smoothly at 120hz setting\
Sound quality is better from previous Xiaomi phones as it has stereo speaker on too and bottom.\
Charging is super quick. It charged my phone from 2% to 100% in approx 17 minutes.\
\
Con- Xiaomi really need to work on its camera especially on front camera.\
The picture still looks like the one we get on phones in 10000 range.", 9 "url": "https://www.flipkart.com/review-image-fullscreen?pid=MOBG9QWVVTFZB2SY&imageId=blobio-imr-202201_deb9c84d975444ecae66a81ac5e0cf72.jpeg&reviewReferenceId=MOBG9QWVVTFZB2SY:10&language=en", 10 "certified_buyer": true, 11 "upvotes": 2082, 12 "downvotes": 471, 13 "id": "0159c872-01ef-4518-8774-f01f9bda300f", 14 "product_id": "MOBG9QWVVTFZB2SY", 15 "product_url": "https://www.flipkart.com/redmi-9a-sport-carbon-black-32-gb/p/itm53bc6ebfe147b", 16 "images": [ 17 "https://rukminim1.flixcart.com/blobio/1160/1160/imr/blobio-imr-202201_deb9c84d975444ecae66a81ac5e0cf72.jpeg?q=100" 18 ] 19}
Last but not least, Flipkart Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Flipkart Reviews Scraper successfully finishes a run.
The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.
To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.
Check out the Apify API reference docs for full details.
If you have any feature requests or bug reports, please create an issue on the Issues page.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!