How to Scrape Flipkart Product Listings with Browse AI

Direct answer: If you have permission to collect the data for your specific use, Browse AI’s documented Capture Text → From a list workflow can structure repeated product cards or rows into fields such as names, prices, ratings, image URLs, and product URLs. You then configure pagination to match the page’s visible behavior and review a run for missing fields and incorrect page transitions.

Important permission note: Flipkart’s published Stories Terms of Use, updated November 20, 2025, prohibit using page scraping, robots, spiders, or other automatic means to access, acquire, copy, or monitor covered site content through means not purposely made available. Seller-platform terms also prohibit automated access. Do not treat Browse AI’s ability to configure a robot as permission to run it on Flipkart. Obtain authorization or confirm an approved data route that covers your intended use before creating or running the robot. [Flipkart Stories Terms of Use; Flipkart seller terms]

Browse AI likewise says that website terms and applicable law govern extracted data, and recommends checking terms, robots.txt, and using reasonable rate limits. Its documentation describes product controls; it does not establish that a particular Flipkart extraction is allowed. [Browse AI]

Before you configure a robot

Confirm that you have authorization for the target pages, fields, collection method, frequency, storage, and downstream use. The published terms establish a restriction; they do not answer whether you have separate written authorization or whether an approved route applies to your particular use. If those details are unclear, get permission or verify the authorized route before proceeding.

Also decide which page type contains the data you need:

Listing page: repeated cards or rows show the fields you need. Use list capture.
Product detail page: desired fields appear only after opening each product. Capture listing URLs first, then use a separate detail-page robot and a workflow to connect the stages.
Interactive listing: a click or other interaction is needed before the repeated items or pagination control appears. Record the required interaction sequence, then configure list capture.

How to capture an authorized product listing

Open the authorized origin URL. In Browse AI, create a robot for structured extraction. Browse AI distinguishes Table Studio for data already visible on a page from Robot Studio when the page requires clicking, typing, or logging in. Use the mode suited to the authorized page and its interactions. [Browse AI Help Center]
Load the listing in Robot Studio if interaction is required. Allow the page to finish its expected load and perform only the authorized actions needed to reveal the listing.
Select the repeated pattern. Choose Capture Text → From a list, then select the repeating product cards or rows. Browse AI documents this mode for repeating information such as product listings and search results. [Browse AI list capture guide]
Review the proposed fields. Select only the fields you are authorized to collect. Examples supported by Browse AI’s guide include product name, price, image URL, star rating, short description, and product URL. Give columns clear names that fit the analysis.
Configure pagination to match the page. Pick the behavior visible on the authorized page: a next button or page number, a load-more control, scrolling to reveal more items, or no further items. Details are in the pagination table below.
Set a bounded item count. Choose a capture size appropriate to the authorized task. Save the list and finish the robot.
Run and inspect the output. Check the item count, field values, and page transitions. Confirm that the robot did not repeat the same page, skip items, or collect unintended fields. These are validation steps; they are not a claim that this workflow has been tested on Flipkart.

Browse AI’s guide summarizes the intended pattern: “’From a list’ is best for repeating information like product listings or search results.” [Browse AI Help Center]

Choose the right pagination behavior

What the page visibly does	Browse AI pagination choice	What to check in the run
Shows a next arrow, button, or numbered page control	Click next	Verify that the page advances and each set of products appears once.
Shows a “Load more” or “Show more” control	Click load more	Check that additional cards are appended and the robot stops at the intended bound.
Reveals items as the page is scrolled	Scroll down	Check that new items load before capture continues and that the chosen item limit is respected.
Already shows all items needed for this bounded task	No more items	Confirm the visible set is complete for the authorized scope.

If an initial click is needed to reveal the list or its controls, record that interaction before configuring list pagination. Add interaction steps only when the authorized page actually requires them. Browse AI documents these pagination patterns, but the correct setting depends on the page’s observed behavior. [Browse AI pagination guidance]

Listing fields versus product detail fields

A listing robot captures the repeated information available on the listing page. It cannot supply detail-page fields that are absent there. For deeper data, Browse AI describes a two-robot workflow:

Robot A captures authorized listing fields and product URLs.
Robot B visits each authorized detail URL and captures the additional fields available there.
A workflow connects the outputs so URLs from the listing stage feed the detail-page stage.

Browse AI’s examples for detail-page extraction include specifications, reviews, stock levels, and shipping options. Those are examples of platform workflows, not a promise that Flipkart exposes each field or that collecting it is permitted. [Browse AI deep scraping documentation]

Validate the extracted data

Before relying on a run, review a sample against the authorized source page and check:

Item count: does the output match the configured bound and visible page behavior?
Field alignment: are prices, ratings, and URLs attached to the correct product row?
Missing values: are fields absent on some cards, conditionally displayed, or missed because the page had not finished loading?
Duplicates and gaps: did pagination repeat a page or skip a transition?
Scope: did the robot collect only the authorized fields and pages?
Detail links: if using a second robot, do the captured URLs lead to the intended detail records?

If the structure changes, update the selection and recheck the output. A successful robot configuration does not establish authorization or guarantee that a future page layout will remain the same.

Reliability, performance, and cost considerations

Bound the run. Set a specific item count and capture only what the authorized task needs. Avoid unbounded pagination.
Match waits to page behavior. For interactive pages, allow the required content to appear before selecting or capturing it. Avoid unnecessary clicks or scroll loops.
Use reasonable rates. Browse AI recommends reasonable rate limits. Follow any authorization conditions and applicable site rules; do not use retries to defeat access restrictions or bot checks. [Browse AI guidance]
Keep stages separate. Listing capture and detail-page capture involve different page structures. A two-robot workflow makes it easier to inspect where missing or malformed data entered the process.
Plan for page changes. Repeated-card structure, labels, or pagination controls can change. Review outputs when the robot runs and revise its selection if the page structure changes.
Check service pricing directly. This guide does not state Browse AI plan prices or a run-cost estimate because the cited research does not establish them. Review Browse AI’s current plan terms and your authorized usage before scheduling work.

Common problems and fixes

Symptom	Likely cause	What to check
No repeated items are detected	The selection did not match the repeated card or row pattern, or the list has not appeared yet.	Wait for the authorized page state, then select the repeating items again. If a click is needed to reveal them, record that interaction first.
Only the first screen of products appears	Pagination is set to stop, or the page requires a different next, load-more, or scroll behavior.	Observe how more items appear and choose the matching pagination option. Inspect a run for actual page transitions.
Rows contain missing or mismatched values	A field is not present on every card, the page is still loading, or the selected element does not correspond to the intended column.	Inspect the source cards and proposed field mapping; select the correct repeated structure and validate representative rows.
The robot repeats products or skips a page	The next action did not advance as expected, or the page’s transition behavior differs from the configured setting.	Review the page transition and pagination choice; keep the run bounded and inspect each stage.
A needed field is absent from listing output	The field exists only on the product detail page.	Capture listing URLs, then use a separate detail-page robot and a workflow, subject to authorization for those pages and fields.
The page blocks or challenges automated access	The site is restricting automated access.	Stop. Do not try to bypass the restriction. Confirm authorization and an approved data route before taking further action.

Or skip the browser setup

If your authorized goal is to save a visual record of a page rather than extract a structured table, ScreenshotNeo is a website screenshot API and MCP server. One GET request returns a PNG, JPEG, WebP, or PDF. See the ScreenshotNeo API documentation for parameters and response details.

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

import requests

r = requests.get(
    "https://api.screenshotneo.com/v1/shot",
    params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"},
    timeout=90,
)
open("shot.webp", "wb").write(r.content)

const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);

Replace the example URL only with a page you are authorized to capture. ScreenshotNeo removes cookie banners, newsletter popups, and chat widgets before the shot; bot checks, blank pages, and failed loads are never billed; an MCP server lets AI agents take screenshots; and 1,000 screenshots a month are free with no card, with paid plans starting at $5 for 3,000. A screenshot is an image or PDF, not a structured product table, and using a screenshot service does not grant permission to access a site.

FAQ

Can Browse AI capture product prices and URLs from a listing page?

Browse AI’s documented list workflow supports selecting fields such as prices and product URLs when they are present in the repeated listing items. Whether you may collect them from a particular Flipkart page depends on applicable permission and terms.

Should I use Table Studio or Robot Studio?

Browse AI describes Table Studio for data already visible and Robot Studio for pages that require actions such as clicking, typing, or logging in. Choose based on the authorized page’s actual interaction needs.

Does a successful test run mean Flipkart permits scraping?

No. A tool’s technical ability to collect data does not establish site permission. Flipkart’s published terms restrict automated scraping, so verify an authorization or approved route for your use before running a robot.