# Flipkart Scraper (`patel_dev_automation/flipkart-scraper`) Actor Extract structured Flipkart product data - title, price, MRP, discount, rating, reviews, image, and URL - from any search or category page. Auto-paginates through all results. Clean JSON output via API. - **URL**: https://apify.com/patel\_dev\_automation/flipkart-scraper.md - **Developed by:** [Dev Patel](https://apify.com/patel_dev_automation) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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. 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 Extract structured product data from **Flipkart** search and category pages — at scale, with automatic pagination through every result page. ### What it does Give it one or more Flipkart search/category URLs and it returns clean JSON for every product: title, price, MRP (struck price), discount, rating, rating count, image, product URL, and product ID. - 🔎 Works with any Flipkart **search** (`/search?q=...`) or **category** (`/.../pr?sid=...`) URL - 📄 **Auto-pagination** through all result pages (derives the real page count from the result total) - 🛡️ **Soft-block recovery** — Flipkart throttles with empty pages (HTTP 200); the scraper re-fetches them on a fresh proxy - 🔁 **Dedup** by product ID across all pages - ⚡ Cheap & fast — pure HTTP + HTML parsing, no headless browser ### Input | Field | Type | Description | |-------|------|-------------| | `searchUrls` | array | **Required.** Flipkart search or category URLs. Example: `https://www.flipkart.com/search?q=ghar+soaps` | | `maxItemsPerStartUrl` | integer | Hard cap on total products per URL. Default `500`. Set high to get everything. | | `proxyConfiguration` | object | **Residential proxies (country India) required** — Flipkart blocks datacenter IPs. Default already requests them. | #### Example input ```json { "searchUrls": [ { "url": "https://www.flipkart.com/search?q=ghar+soaps" } ], "maxItemsPerStartUrl": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### Output ```json { "productId": "SOPHYGFXVA3ZEPAT", "title": "Ghar Soaps Sandal Wood And Saffron Soap For Glowing & Radiant Skin (2 x 100 g)", "productUrl": "https://www.flipkart.com/ghar-soaps-.../p/itm...", "price": 299, "originalPrice": 333, "currency": "INR", "discountPercent": 10, "rating": 4, "ratingCount": 172584, "image": "https://rukminim2.flixcart.com/image/...jpeg", "scrapedFrom": "https://www.flipkart.com/search?q=ghar+soaps" } ``` ### Notes - Flipkart blocks datacenter IPs, so **residential proxies are required** on the platform. The default config requests Apify Residential (India). If results come back empty, your proxy IPs are likely flagged — switch to a premium residential pool. - Flipkart's CSS class names are obfuscated and rotate; this scraper extracts data using stable structural signals (`div[data-id]`, the title anchor, ₹-price regex) so it survives Flipkart's frequent markup tweaks. # Actor input Schema ## `searchUrls` (type: `array`): Flipkart search or category URLs to scrape. Search example: https://www.flipkart.com/search?q=ghar+soaps — Category example: https://www.flipkart.com/mens-footwear/pr?sid=osp,cil ## `maxItemsPerStartUrl` (type: `integer`): Maximum number of products to scrape for each URL. This is a hard cap on the total returned — set it high to get ALL products. The scraper paginates through every result page automatically and stops at this limit. Default 500. ## `proxyConfiguration` (type: `object`): Flipkart blocks datacenter IPs. Apify Residential proxies (country India) are strongly recommended and used by default. ## Actor input object example ```json { "searchUrls": [ { "url": "https://www.flipkart.com/search?q=ghar+soaps" } ], "maxItemsPerStartUrl": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `products` (type: `string`): Structured Flipkart product records with price, MRP, rating, reviews, and image. # 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 = { "searchUrls": [ { "url": "https://www.flipkart.com/search?q=ghar+soaps" } ], "maxItemsPerStartUrl": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("patel_dev_automation/flipkart-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 = { "searchUrls": [{ "url": "https://www.flipkart.com/search?q=ghar+soaps" }], "maxItemsPerStartUrl": 500, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("patel_dev_automation/flipkart-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 '{ "searchUrls": [ { "url": "https://www.flipkart.com/search?q=ghar+soaps" } ], "maxItemsPerStartUrl": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call patel_dev_automation/flipkart-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=patel_dev_automation/flipkart-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Scraper", "description": "Extract structured Flipkart product data - title, price, MRP, discount, rating, reviews, image, and URL - from any search or category page. Auto-paginates through all results. Clean JSON output via API.", "version": "0.1", "x-build-id": "2WxSBqs5o78tiva55" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/patel_dev_automation~flipkart-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-patel_dev_automation-flipkart-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/patel_dev_automation~flipkart-scraper/runs": { "post": { "operationId": "runs-sync-patel_dev_automation-flipkart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/patel_dev_automation~flipkart-scraper/run-sync": { "post": { "operationId": "run-sync-patel_dev_automation-flipkart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Flipkart URLs", "type": "array", "description": "Flipkart search or category URLs to scrape. Search example: https://www.flipkart.com/search?q=ghar+soaps — Category example: https://www.flipkart.com/mens-footwear/pr?sid=osp,cil", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItemsPerStartUrl": { "title": "Max results (per start URL)", "minimum": 1, "type": "integer", "description": "Maximum number of products to scrape for each URL. This is a hard cap on the total returned — set it high to get ALL products. The scraper paginates through every result page automatically and stops at this limit. Default 500." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Flipkart blocks datacenter IPs. Apify Residential proxies (country India) are strongly recommended and used by default.", "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 } } } } } } } } } } ```