# Flipkart Scraper - India E-Commerce Products, Prices & Ratings (`thirdwatch/flipkart-products-scraper`) Actor Scrape Flipkart product search results: title, price, original price, discount, rating, reviews, seller, highlights. India's largest e-commerce platform. HTTP-based, fast and cheap. No browser needed. - **URL**: https://apify.com/thirdwatch/flipkart-products-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** E-commerce - **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Flipkart Scraper - India E-Commerce Products, Prices & Ratings > Scrape Flipkart product search results. Get titles, prices, discounts, ratings, and reviews from India's largest e-commerce platform. ### What you get Search Flipkart by keyword and extract product data including titles, prices, original prices, discount percentages, ratings, review counts, seller info, and product highlights. Flipkart is India's largest e-commerce platform. ### Output fields | Field | Description | |-------|-------------| | `title` | Product title | | `price` | Current price | | `original_price` | Original price before discount | | `discount` | Discount percentage | | `rating` | Product rating | | `reviews_count` | Number of reviews | | `seller` | Seller name | | `highlights` | Product highlights | | `url` | Flipkart product URL | ### Example output ```json { "title": "Samsung Galaxy S24 Ultra (Titanium Gray, 256 GB)", "price": "₹1,29,999", "original_price": "₹1,44,999", "discount": "10% off", "rating": 4.6, "reviews_count": 45000, "seller": "Samsung Official", "highlights": ["12 GB RAM", "256 GB Storage", "200 MP Camera"], "url": "https://www.flipkart.com/samsung-galaxy-s24-ultra/..." } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `queries` | Yes | Product search terms (e.g., `["samsung galaxy", "laptop"]`). | | `maxResults` | No | Max products per query. Default `10`, max `500`. | | `proxyConfiguration` | No | Proxy settings. Leave default for best results. | ### Use cases - **E-commerce competitors**: Monitor Flipkart pricing vs your own catalog. - **Price trackers**: Build Indian e-commerce price comparison tools. - **Market researchers**: Analyze product trends across the Indian market. - **Dropshippers**: Research products and pricing on Flipkart. - **Brand monitors**: Watch for unauthorized resellers and price erosion on your SKUs. ### Use cases & recipes Step-by-step guides on [thirdwatch.dev/blog](https://thirdwatch.dev/blog): - [Build a Flipkart Product Research Pipeline (2026 Guide)](https://thirdwatch.dev/blog/build-flipkart-product-research-pipeline) - [Monitor Flipkart Deals and Discounts (2026 Guide)](https://thirdwatch.dev/blog/monitor-flipkart-deals-and-discounts) - [Scrape Flipkart Products for India E-commerce Research (2026)](https://thirdwatch.dev/blog/scrape-flipkart-products-for-india-ecommerce) - [Track Flipkart vs Amazon India Prices in Real Time (2026)](https://thirdwatch.dev/blog/track-flipkart-prices-vs-amazon-india) ### Limitations - Returns search result cards (title, price, rating, seller, highlights) — not the full product detail page (no deep specs, Q\&A, or multiple images). - Prices are in INR (Indian Rupees). - Flash sale prices can change rapidly; timestamp each run if you track price history. - Some products return partial data when Flipkart's listing omits a field (e.g., no rating on a brand-new SKU). ### Compared to alternatives - **vs. other Flipkart scrapers on Apify Store**: Most are abandoned or return only 10–20 products per query. This actor reliably returns up to 500 per query with consistent schema. - **vs. Flipkart Seller / Affiliate API**: Flipkart's affiliate API requires approval and returns a limited subset. Seller API is limited to your own listings. This actor is the public-catalog alternative. Pairs well with [Amazon Scraper](https://apify.com/thirdwatch/amazon-scraper) for cross-marketplace price comparison and [AliExpress Scraper](https://apify.com/thirdwatch/aliexpress-scraper) for sourcing research. ### FAQ **Do I need a Flipkart account?** No. The scraper accesses publicly visible search pages. **Can I scrape a specific product URL?** This actor is search-based — pass product keywords and you get the top matching results. For a known SKU, search by product name or model number. **What currency are the prices in?** Indian Rupees (INR), exactly as displayed on flipkart.com. **How fresh is the data?** Live — every run hits Flipkart in real time. Last verified: 2026-05 More scrapers at [thirdwatch.dev](https://thirdwatch.dev). # Actor input Schema ## `queries` (type: `array`): List of search terms (e.g. \['laptop', 'iphone 15']). Optional if you set a Category — leave empty to browse a category. ## `category` (type: `string`): Top-level Flipkart category to browse or search within. Leave as 'All' to search everything. ## `subcategorySlug` (type: `string`): Optional deeper sub-path. If your category has it (e.g. 'mens-clothing' inside 'clothing-and-accessories'), paste the URL slug from the Flipkart navigation. ## `sortBy` (type: `string`): How to order results. ## `minPrice` (type: `integer`): Minimum price in INR. Leave empty for no lower bound. ## `maxPrice` (type: `integer`): Maximum price in INR. Leave empty for no upper bound. ## `maxResults` (type: `integer`): Maximum number of products to extract per query / category. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "queries": [ "laptop" ], "category": "all", "sortBy": "relevance", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "laptop" ], "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/flipkart-products-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": ["laptop"], "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/flipkart-products-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "laptop" ], "maxResults": 10 }' | apify call thirdwatch/flipkart-products-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/flipkart-products-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Scraper - India E-Commerce Products, Prices & Ratings", "description": "Scrape Flipkart product search results: title, price, original price, discount, rating, reviews, seller, highlights. India's largest e-commerce platform. HTTP-based, fast and cheap. No browser needed.", "version": "1.0", "x-build-id": "bXocZX8U35geQ9il2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~flipkart-products-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-flipkart-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~flipkart-products-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-flipkart-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~flipkart-products-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-flipkart-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of search terms (e.g. ['laptop', 'iphone 15']). Optional if you set a Category — leave empty to browse a category.", "default": [], "items": { "type": "string" } }, "category": { "title": "Category (optional)", "enum": [ "all", "mobiles", "laptops", "electronics", "tvs-and-appliances", "clothing-and-accessories", "footwear", "beauty", "home-and-furniture", "kitchen-cookware-and-serveware", "home-appliances", "sports-fitness-bags-and-luggage", "books-and-more", "baby-care", "toys-and-school-supplies", "automotive", "grocery" ], "type": "string", "description": "Top-level Flipkart category to browse or search within. Leave as 'All' to search everything.", "default": "all" }, "subcategorySlug": { "title": "Subcategory Slug (optional)", "type": "string", "description": "Optional deeper sub-path. If your category has it (e.g. 'mens-clothing' inside 'clothing-and-accessories'), paste the URL slug from the Flipkart navigation." }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "popularity", "priceAsc", "priceDesc", "newest", "rating" ], "type": "string", "description": "How to order results.", "default": "relevance" }, "minPrice": { "title": "Min Price (₹)", "minimum": 0, "type": "integer", "description": "Minimum price in INR. Leave empty for no lower bound." }, "maxPrice": { "title": "Max Price (₹)", "minimum": 0, "type": "integer", "description": "Maximum price in INR. Leave empty for no upper bound." }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of products to extract per query / category.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```