π What is a Flipkart listing scraper?
This template reads submitted Flipkart search-result URLs and collects product names, prices, ratings, rating and review counts, bullet points, detail-page URLs, result counts, and page numbers. It supports brands, sellers, retailers, sourcing teams, and e-commerce analysts researching Flipkart listings.
Data is collected from Flipkart. Flipkart is an Indian e-commerce marketplace covering products such as electronics, home goods, fashion, groceries, and books.
π° Pricing
Current price: $0.1/1,000 lines. Billing is based on the number of output lines produced by the task.
π¦ Output
Flipkart Listing Scraper returns these fields:
Web_Page_URLNumber_of_ResultsPage_NumberProduct_NameRatingNumber_of_RatingsNumber_of_ReviewsBullet_PointsPriceDetail_Page_URLCurrent_Time
{
"Web_Page_URL": "https://www.flipkart.com/search?q=mobile",
"Number_of_Results": "9,671",
"Page_Number": "1",
"Product_Name": "Nothing Phone (2a) 5G (Black, 128 GB)",
"Rating": "4.4",
"Number_of_Ratings": "17,548 Ratings",
"Number_of_Reviews": "2,672 Reviews",
"Bullet_Points": "8 GB RAM | 128 GB ROM 17.02 cm (6.7 inch) Full HD+ Display 50MP (OIS) + 50MP | 32MP Front Camera 5000 mAh Battery Dimensity 7200 Pro Processor 1 Year Manufacturing Warranty",
"Price": "βΉ23,999",
"Detail_Page_URL": "https://www.flipkart.com/nothing-phone-2a-5g-black-128-gb/p/itm85c6bca5edadc?pid=MOBGVMQSZWSCFFWT&lid=LSTMOBGVMQSZWSCFFWTLEUOV6&marketplace=FLIPKART&q=mobile&store=tyy%2F4io&srno=s_1_1&otracker=search&iid=en_zGUkgj-yQnBCRoAVxUgsgvNk_3hkuivk18lRvggeb0olUHa4i5n5jW2Vp4gJ7uCXUhCgNtUJgrdrwsXsjTCLxPUFjCTyOHoHZs-Z5_PS_w0%3D&ssid=p01z89q0z40000001713103711629&qH=532c28d5412dd75b",
"Current_Time": "4/14/2024"
}
π― Use Cases
- Compare product prices, ratings, and review volume across Flipkart search results.
- Monitor assortment and search-result changes across keywords or categories.
- Build product detail-page URL lists for deeper catalog enrichment.
- Analyze product positioning using names, bullet points, result counts, and page placement.
π Why Octoparse
- Built for Flipkart: The template opens each submitted Flipkart search-result URL, collects up to the configured number of pages, loops through product cards, and exports one structured row per listing.
- Inputs match the workflow: The form uses URL (up to 10 entries), Number of pages (1-40) (1 to 40), and Number of pages.
- Fields stay connected: Flipkart Listing Scraper returns
Product_Name,Web_Page_URL,Rating,Current_Time, andNumber_of_Resultsin the same structured dataset. - Ready for repeat use: After Flipkart Listing Scraper runs in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.
π Input
Complete the following fields:
- URL (Required) β Enter search page URL. Up to 10 entries per run.
- Number of pages (Required) β Enter page number (1-40). Accepted range: 1 to 40.
π How to Use
- Open Flipkart Listing Scraper and click Try it!.
- Complete URL, Number of pages (1-40), and Number of pages using the formats and limits shown in the Input section.
- Run it in the Octoparse cloud and start the task.
- Review fields such as
Product_Name,Web_Page_URL, andRating, then export the rows in the format you need.
π‘ Tips
- Test one representative value in URL before submitting a large batch to Flipkart Listing Scraper.
- Keep
Web_Page_URLin the export so every row can be traced to its originating input or page.
β FAQ
How many entries can Flipkart Listing Scraper accept in URL per run?
Enter up to 10 values in URL per run.
Which Flipkart pages does Flipkart Listing Scraper process?
The workflow is configured for listing pages and returns fields such as Product_Name, Web_Page_URL, Rating, and Current_Time.
What can I use data from Flipkart Listing Scraper for?
Compare product prices, ratings, and review volume across Flipkart search results.
π Related Templates
- Flipkart Product Scraper β Pass a collected Flipkart detail-page URL to the product scraper for seller, description, image, and product details.
- Amazon Product Listing Scraper (for India) β Collect comparable marketplace search-result data from Amazon India.