Flipkart Scraper - Scrape Flipkart Products & Prices
Pricing
from $2.00 / 1,000 results
Flipkart scraper: search any keyword & extract product name, price, MRP, discount, ratings, reviews & images. Export to JSON/CSV/Excel.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer
Techforce Global
Maintained by CommunityActor stats
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1
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0
Monthly active users
5 days ago
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The text you would type into the Flipkart search bar (e.g. 'wireless earbuds', 'nike shoes', 'samsung galaxy').
Optionally narrow the search to a Flipkart top-level category. Leave as 'Any' to search across all categories.
Maximum number of products to scrape. The scraper paginates through the search results until it reaches this number.
How Flipkart should sort the search results before scraping.
How many search-result pages to process in parallel. Keep low (1-3) to stay gentle on Flipkart and avoid blocks.
Run the browser without a visible window. Keep enabled on the Apify platform. Disable only for local debugging.
Optionally deliver the scraped products into a connector you have authorized — Notion, Slack, Linear, Airtable, Jira, GitHub, or any MCP-compatible connector. Leave empty to only save the results to the dataset.
How to deliver to the connector: 'perProduct' (one call per product — e.g. one Notion page or Slack message each), 'summary' (a single call containing the whole product list), or 'none' (save to dataset only).
Name of the tool to call on the connector (e.g. 'create_page' for Notion, 'send_message' for Slack, 'create_issue' for Jira/GitHub, 'appendRow' for Sheets). If unsure, run once with a connector selected — the log lists the connector's available tools.
Arguments passed to the connector tool. String values support {placeholders}. In 'perProduct' mode: {productId}, {title}, {url}, {image}, {currentPrice}, {originalPrice}, {discountPercent}, {currency}, {rating}, {numRatings}, {numReviews}, {seller}, {fAssured}, {searchQuery}, {category}, {count}, and {message} (the rendered template below). In 'summary' mode: {searchQuery}, {category}, {count}, {products} (a markdown list of every product) and {message}. Example for Slack: {"channel": "#deals", "text": "{message}"}.
{}Optional template rendered and exposed as the {message} placeholder in the tool arguments. Per-product example: '{title} — ₹{currentPrice} ({discountPercent}% off) | ⭐ {rating}\n{url}'. Summary example: 'Top {count} results for {searchQuery}:\n\n{products}'.