# Flipkart Seller Scraper (`scrapeai/flipkart-seller-scraper`) Actor Scrape Flipkart seller information from product or seller page URLs. Extract seller name, price, rating, delivery date, stock status, and compare multiple sellers offering the same product. Ideal for seller monitoring, price comparison, and market analysis. - **URL**: https://apify.com/scrapeai/flipkart-seller-scraper.md - **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Seller Scraper Extract Flipkart seller profiles, including seller name, ratings, feedback score, product listings, available contact information, seller details, and other publicly accessible seller-related data from the seller page. Ensure the scraper handles pagination, validates extracted data, and exports clean, structured datasets (JSON/CSV). ### Features - **Direct URL Input** — Scrape Flipkart seller information by providing one or more seller or product URLs. - **Comprehensive Seller Data** — Extract seller profile details, ratings, feedback score, product listings, and publicly available contact information. - **Product Listing Extraction** — Collect all products associated with the seller, including titles, prices, ratings, and product links. - **Reliable Data Collection** — Handles dynamic page loading, retries failed requests, and validates extracted data. - **Structured Output** — Export clean datasets in JSON, CSV, or Excel formats. - **Cloud Ready** — Fully compatible with Apify, including scheduling, proxy rotation, webhooks, datasets, and API integration. - **Scalable Crawling** — Supports scraping multiple URLs in a single run with efficient request management. - **Configurable Options** — Customize crawl limits, concurrency, retry behavior, and output settings. ### Use Cases - Build and maintain a database of Flipkart seller profiles. - Monitor seller ratings, feedback scores, and reputation over time. - Analyze competitor sellers, their product catalogs, and pricing strategies. - Track seller inventory and newly listed products. - Conduct e-commerce market research and seller performance analysis. - Generate lead lists of Flipkart sellers for business intelligence and outreach. - Compare multiple sellers offering the same or similar products. - Export structured seller and product data for analytics, dashboards, or CRM integration. #### Example Output ```json { "productFsn": "MOBGTAGPTB3VS24W", "productName": "Apple iPhone 15 (Black, 128 GB)", "productRating": 4.6, "productRatingCount": 247045, "productUrl": "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4", "sellersPageUrl": "https://www.flipkart.com/sellers?pid=MOBGTAGPTB3VS24W", "sellerName": "SuperComNet", "sellerRating": 4.1, "codAvailable": true, "returnPolicy": "7 Days Replacement Policy", "price": "₹58,900", "originalPrice": "₹59,900", "discount": "1% off", "deliveryTime": null, "scrapedAt": "2026-07-20T12:10:12.464Z" } ```` # Actor input Schema ## `mode` (type: `string`): productUrl: provide product page URLs to auto-build sellers comparison page. sellersPageUrl: provide sellers comparison page URLs (sellers?pid=FSN) directly. ## `productUrls` (type: `array`): List of Flipkart product page URLs. The FSN will be extracted and the sellers comparison page scraped. ## `sellersPageUrls` (type: `array`): List of Flipkart sellers comparison page URLs, e.g. https://www.flipkart.com/sellers?pid=MOBHDDQ9VFG... ## `maxConcurrency` (type: `integer`): Maximum number of parallel browser pages. ## `proxyConfiguration` (type: `object`): Proxy settings. Apify residential proxies are recommended. ## Actor input object example ```json { "mode": "productUrl", "productUrls": [ "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4" ], "maxConcurrency": 3 } ``` # 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 = { "productUrls": [ "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeai/flipkart-seller-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 = { "productUrls": ["https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4"] } # Run the Actor and wait for it to finish run = client.actor("scrapeai/flipkart-seller-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 '{ "productUrls": [ "https://www.flipkart.com/apple-iphone-15-black-128-gb/p/itm6ac6485515ae4" ] }' | apify call scrapeai/flipkart-seller-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeai/flipkart-seller-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Seller Scraper", "description": "Scrape Flipkart seller information from product or seller page URLs. Extract seller name, price, rating, delivery date, stock status, and compare multiple sellers offering the same product. Ideal for seller monitoring, price comparison, and market analysis.", "version": "1.0", "x-build-id": "T5Yv1ZdazhKV9IKYK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeai~flipkart-seller-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeai-flipkart-seller-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeai~flipkart-seller-scraper/runs": { "post": { "operationId": "runs-sync-scrapeai-flipkart-seller-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeai~flipkart-seller-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeai-flipkart-seller-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "productUrl", "sellersPageUrl" ], "type": "string", "description": "productUrl: provide product page URLs to auto-build sellers comparison page. sellersPageUrl: provide sellers comparison page URLs (sellers?pid=FSN) directly.", "default": "productUrl" }, "productUrls": { "title": "Product Page URLs", "type": "array", "description": "List of Flipkart product page URLs. The FSN will be extracted and the sellers comparison page scraped.", "items": { "type": "string" } }, "sellersPageUrls": { "title": "Sellers Page URLs", "type": "array", "description": "List of Flipkart sellers comparison page URLs, e.g. https://www.flipkart.com/sellers?pid=MOBHDDQ9VFG...", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of parallel browser pages.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify residential proxies are recommended." } } }, "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 } } } } } } } } } } ```