# Flipkart Product Scraper Pro (`codingfrontend/flipkart-product-scraper-pro`) Actor Professional Flipkart scraper using internal API for comprehensive product data extraction with maximum data coverage. - **URL**: https://apify.com/codingfrontend/flipkart-product-scraper-pro.md - **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 34 total users, 4 monthly users, 97.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Product Scraper Pro Professional Flipkart product scraper using internal API for comprehensive product data extraction with maximum data coverage. ### Features - **API-Based Scraping**: Uses Flipkart's internal API for faster and more reliable data extraction - **Comprehensive Data**: Extracts all available product information including specifications, highlights, offers - **Multiple Input Modes**: Support for search query, product URLs, search URL, and category URL - **Delivery Check**: Check delivery availability for any pincode - **Anti-Detection**: Built-in proxy support and realistic request headers ### Data Extracted #### Product Details - Product ID, Listing ID - Title, Brand, Subtitle - Price, Original Price (MRP), Discount - Rating, Rating Count, Review Count - All Specifications (detailed specs) - Product Highlights - All Product Images - Seller Information - Offers and Deals - Delivery Information - Category Information ### Input Configuration #### Modes | Mode | Description | |------|-------------| | `search` | Search for products using a keyword | | `productUrl` | Scrape specific product URLs | | `searchUrl` | Use a pre-built Flipkart search URL | | `categoryUrl` | Scrape products from a category page | #### Example Inputs ##### Search Mode ```json { "mode": "search", "searchQuery": "iphone 15", "maxItems": 50, "pincode": 110001 } ```` ##### Product URLs Mode ```json { "mode": "productUrl", "productUrls": [ "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm...", "https://www.flipkart.com/samsung-galaxy-s23/p/itm..." ], "maxItems": 10 } ``` ##### Search URL Mode ```json { "mode": "searchUrl", "searchUrl": "https://www.flipkart.com/search?q=laptop&sort=popularity", "maxItems": 100 } ``` ### Output Example ```json { "type": "product", "productId": "MOBGTAGPTB3VS24W", "listingId": "LSTMOBGTAGPTB3VS24WCTBCFM", "title": "Apple iPhone 15 (Black, 128 GB)", "brand": "Apple", "price": 54900, "originalPrice": 59900, "discount": "8% off", "currency": "INR", "rating": 4.6, "ratingCount": 271335, "reviewCount": 9480, "highlights": [ "128 GB ROM", "15.49 cm (6.1 inch) Super Retina XDR Display", "48MP + 12MP | 12MP Front Camera", "A16 Bionic Chip, 6 Core Processor" ], "specifications": [ {"key": "RAM", "value": "6 GB"}, {"key": "Display Size", "value": "15.49 cm (6.1 inch)"}, {"key": "Primary Camera", "value": "48MP + 12MP"} ], "images": [ "https://rukminim2.flixcart.com/image/312/312/...", "https://rukminim2.flixcart.com/image/312/312/..." ], "seller": { "name": "RetailNet", "rating": 4.8 }, "delivery": { "available": true, "date": "Delivery by 2 days", "charge": "Free" }, "offers": [ {"type": "Bank Offer", "text": "10% off on HDFC Bank Credit Card"} ], "url": "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/...", "scrapedAt": "2026-01-25T10:00:00.000Z", "success": true } ``` ### Advantages Over Regular Scraper 1. **Faster**: API calls are faster than browser-based scraping 2. **More Data**: Access to all product data including hidden specifications 3. **More Reliable**: Less prone to layout changes since using structured API 4. **Lower Resources**: No browser needed, runs with minimal memory ### Running Locally ```bash npm install npm start ``` ### Deployment ```bash apify push ``` ### Notes - API endpoints may change - check for updates if scraping fails - Use Indian proxies for best results - Respect rate limits to avoid being blocked # Actor input Schema ## `mode` (type: `string`): How to scrape products ## `searchQuery` (type: `string`): Search term for products (used when mode is 'search') ## `productUrls` (type: `array`): List of Flipkart product URLs to scrape (used when mode is 'productUrl') ## `searchUrl` (type: `string`): Full Flipkart search URL (used when mode is 'searchUrl') ## `categoryUrl` (type: `string`): Flipkart category page URL (used when mode is 'categoryUrl') ## `pincode` (type: `integer`): Pincode for delivery availability check ## `maxItems` (type: `integer`): Maximum number of products to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding blocks ## Actor input object example ```json { "mode": "search", "searchQuery": "iphone", "productUrls": [], "pincode": 110001, "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # 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 = { "searchQuery": "iphone", "productUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/flipkart-product-scraper-pro").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 = { "searchQuery": "iphone", "productUrls": [], } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/flipkart-product-scraper-pro").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 '{ "searchQuery": "iphone", "productUrls": [] }' | apify call codingfrontend/flipkart-product-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/flipkart-product-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Product Scraper Pro", "description": "Professional Flipkart scraper using internal API for comprehensive product data extraction with maximum data coverage.", "version": "1.0", "x-build-id": "AblOKVtX6eRnZbCqz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~flipkart-product-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-flipkart-product-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~flipkart-product-scraper-pro/runs": { "post": { "operationId": "runs-sync-codingfrontend-flipkart-product-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~flipkart-product-scraper-pro/run-sync": { "post": { "operationId": "run-sync-codingfrontend-flipkart-product-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Scraping Mode", "enum": [ "search", "productUrl", "searchUrl", "categoryUrl" ], "type": "string", "description": "How to scrape products", "default": "search" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term for products (used when mode is 'search')" }, "productUrls": { "title": "Product URLs", "type": "array", "description": "List of Flipkart product URLs to scrape (used when mode is 'productUrl')", "items": { "type": "string" } }, "searchUrl": { "title": "Search URL", "type": "string", "description": "Full Flipkart search URL (used when mode is 'searchUrl')" }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Flipkart category page URL (used when mode is 'categoryUrl')" }, "pincode": { "title": "Delivery Pincode", "type": "integer", "description": "Pincode for delivery availability check", "default": 110001 }, "maxItems": { "title": "Max Products", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to scrape", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding blocks", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "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 } } } } } } } } } } ```