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Flipkart Listing Scraper

This Flipkart listing scraper turns Flipkart search and category result pages into a structured CSV export. Import the workflow into the UScraper desktop app to collect product names, prices, ratings, review counts, bullet specifications, detail URLs, pagination context, and timestamps without writing scraper code.

Output

CSV

Columns

11

Pagination

Next loop

Workflow

13 links

Runtime

Desktop app

At a glance

Scrape Flipkart product listings into CSV

Use this template when you need Flipkart to CSV output from visible search results rather than a heavy product-detail crawl. The bundled graph opens https://www.flipkart.com/search?q=mobile as a starting point, dismisses common popups with a small JavaScript cleanup block, waits for div[data-id] product rows, then exports each row into flipkart-scraper.csv.

The automation is deliberately easy to audit: Navigate -> waits -> popup cleanup -> structured export -> pagination check -> Next click -> wait -> loop. If you want another keyword, category, or filtered result page, change the Navigate URL first, run a small test, and confirm the CSV rows match the products shown in your browser.

Build a quick view of Flipkart online shopping results for a product query, including visible specifications, ratings, reviews, and result counts.

Who it is for

Built for ecommerce Flipkart research teams

Marketplace analysts

Assortment scans

Favorable to scraping

Export product names, prices, ratings, and specs from a search result page to compare visible assortment across mobile, electronics, home, or grocery categories.

Pricing teams

Competitive checks

Favorable to scraping

Use the CSV as a fast pricing snapshot before deciding whether a deeper monitoring system or paid ecommerce data provider is needed.

Catalog operations

Product URL queues

Favorable to scraping

Capture detail page URLs from listing rows, then route selected URLs into a follow-up workflow or combine them with the Google Shopping product listing scraper.

How to use

Run the Flipkart listing scraper

1

Download and import

Use the template link on this page, then import the JSON into UScraper.

2

Set the Flipkart URL

Edit the Navigate block with the search, category, or filtered result page you want to export.

3

Confirm access

Run one page first. If Flipkart times out, throttles, or shows verification, use a browser session or network where the page loads normally.

4

Check the export path

The Structured Export block writes flipkart-scraper.csv with headers in append mode. Change the save folder before a production run.

5

Run and review

Let the Next-button loop collect available pages, then open the CSV in Excel, Google Sheets, a database, or your analysis pipeline.

Output preview

What the Flipkart product export contains

flipkart-scraper.csv
CSV - UTF-8 - Append

Column

web_page_url

The Flipkart search or category URL being exported.

Column

number_of_results

Visible total result count when Flipkart exposes it.

Column

page_number

Current pagination page, inferred from URL or page text.

Column

product_name

Listing title or title attribute from the product row.

Column

rating

Visible star rating text when present.

Column

number_of_ratings

Ratings count normalized as text.

Column

number_of_reviews

Review count normalized as text.

Column

bullet_points

Listing specification bullets joined with separators.

Column

price

Visible product price from the listing row.

Column

detail_page_url

Absolute Flipkart product page URL.

Column

current_time

ISO timestamp when the row was exported.

Sample rows

2 of many

web_page_urlnumber_of_resultspage_numberproduct_nameratingnumber_of_ratingsnumber_of_reviewsbullet_pointspricedetail_page_urlcurrent_time
24,0001Motorola G Series Smartphone4.218,450 Ratings1,210 Reviews8 GB RAM | 128 GB ROM | 50MP CameraRs. 12,999...2026-06-01T00:00:00.000Z
24,0002POCO Smartphone 5G4.19,870 Ratings642 Reviews6 GB RAM | 128 GB ROM | Fast ChargingRs. 10,999...2026-06-01T00:03:18.000Z
Headers included - each product listing row appends under the same columns across paginated result pages

UScraper vs hosted Flipkart scraper services

This UScraper template

Local

Hosted scraper actors and APIs

Cloud
Runtime

Runs in the local desktop app

You can inspect the browser session and edit blocks directly.

Runs on vendor infrastructure

Convenient for scale, but harder to debug when Flipkart blocks a run.

Output

CSV on your machine

Structured Export writes rows to the folder you configure.

Cloud dataset or API response

Often tied to credits, dashboards, or retention policies.

Privacy

Inputs stay under your control

No block uploads the CSV to UScraper servers.

Queries pass through a third party

Review procurement, privacy, and commercial data rules.

Cost

Free template import

Good for no-code Flipkart scraping and spreadsheet workflows.

Pay per request, actor, or dataset

Useful at scale, but not always necessary for one-off exports.

For adjacent ecommerce work, pair this with the Google Shopping product listing scraper, Rakuten product listing scraper, eBay scraper, or Tokopedia scraper. You can also browse the full UScraper template library or install the UScraper desktop app.


Frequently asked questions

Only collect Flipkart pages you are allowed to access and review Flipkart terms, robots guidance, copyright, privacy rules, and local law before using exported data commercially. Do not bypass login walls, CAPTCHA, bot protection, or technical restrictions. UScraper provides a local workflow; it does not grant rights to Flipkart data.

Before you run

Limits, maintenance, and compliant use

Flipkart listing scraper guardrails

Access

Flipkart may throttle or block automated sessions

The source bundle reported ERR_CONNECTION_TIMED_OUT during unattended tests. Use a reliable connection, compliant pacing, and a browser session where Flipkart loads normally.

Layout

Listing selectors can drift after a redesign

The export expects product rows such as div[data-id] and visible Next pagination. If output becomes sparse, update row waits before scaling.

Policy

Respect robots, terms, and commercial data limits

Check Flipkart policies and local law before redistribution, high-volume monitoring, or collecting data that creates privacy or contractual risk.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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FAQ

Frequently asked questions

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]