# Flipkart Products Scraper (`fetch_cat/flipkart-products-scraper`) Actor Scrape Flipkart product listings for prices, discounts, ratings, availability, offers, images, product IDs, and seller/catalog data. - **URL**: https://apify.com/fetch\_cat/flipkart-products-scraper.md - **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.44 / 1,000 item extracteds 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 Products Scraper Scrape Flipkart product listings into clean ecommerce datasets for price monitoring, assortment research, seller analysis, and competitor tracking. Use this Actor to collect Flipkart product titles, URLs, product IDs, prices, discounts, ratings, availability labels, offers, images, and source metadata from search keywords or direct product URLs. Export results as CSV, JSON, Excel, XML, RSS, or consume them through the Apify API. ### Who is it for? This scraper is useful for ecommerce teams, sellers, brands, agencies, and analysts who need repeatable Flipkart product intelligence for pricing, assortment, stock, ratings, and offer tracking. ### Use cases - Track competitor prices and discounts for a category or product family. - Monitor Flipkart assortment changes for brands, private labels, and sellers. - Build product research datasets for marketplaces, analytics dashboards, and BI tools. - Watch ratings and review-count movement for products you sell or compete with. - Feed clean product URLs, IDs, prices, and images into enrichment or automation workflows. ### Input recipes #### Small smoke test ```json { "searchQueries": ["wireless earbuds"], "maxItems": 10, "pageLimit": 1, "sortBy": "relevance", "includeProductDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### Example input #### Monitor a product category ```json { "searchQueries": ["smart watch", "running shoes"], "maxItems": 100, "pageLimit": 3, "sortBy": "popularity" } ``` #### Check specific products ```json { "productUrls": [ { "url": "https://www.flipkart.com/realme-buds-t110-rma2306-ai-enc-calls-38-hours-playback-deep-bass-bluetooth/p/itma5620a39a816e?pid=ACCH4HY6GRGJYUU8" } ], "maxItems": 1 } ``` ### What data can you extract? | Field | Description | | --- | --- | | `query` | Search query that produced the product, if any. | | `inputType` | `search` or `productUrl`. | | `position` | Overall product position in search results. | | `page` | Search page number. | | `rankOnPage` | Product rank on the source page. | | `title` | Flipkart product title. | | `productUrl` | Flipkart product URL. | | `pid` | Flipkart product ID. | | `price` | Current listed price. | | `originalPrice` | Original/list price when shown. | | `currency` | Price currency, usually `INR`. | | `discount` | Displayed discount text, for example `78% off`. | | `rating` | Average product rating. | | `ratingCount` | Number of ratings shown. | | `reviewCount` | Number of reviews when available. | | `availability` | Stock or availability label when shown. | | `brand` | Best-effort brand from page data or product title. | | `sellerName` | Seller name when available. | | `offers` | Offer labels shown for the product. | | `imageUrl` | Product image URL. | | `categoryBreadcrumbs` | Category path when available. | | `sourceUrl` | Flipkart page used to produce the row. | | `scrapedAt` | ISO timestamp for the scrape. | ### Example output ```json { "query": "wireless earbuds", "inputType": "search", "position": 1, "page": 1, "rankOnPage": 1, "title": "GOBOULT Z40 with ENC Mic, 60Hr Battery, Metal Finish, Low Latency, 5.3v Bluetooth", "productUrl": "https://www.flipkart.com/goboult-z40-enc-mic-60hr-battery-metal-finish-low-latency-5-3v-bluetooth/p/itm21d4f04d5f53e?pid=ACCGKXHYZECYJRTS", "pid": "ACCGKXHYZECYJRTS", "price": 1099, "originalPrice": 4999, "currency": "INR", "discount": "78% off", "rating": 4.1, "ratingCount": 509542, "reviewCount": null, "availability": null, "brand": "GOBOULT", "sellerName": null, "offers": ["Bank Offer"], "imageUrl": "https://rukminim2.flixcart.com/image/612/612/xif0q/headphone/d/a/c/-enriched-transparent-original-imahebzzqs5fspcv.png?q=70", "categoryBreadcrumbs": [], "sourceUrl": "https://www.flipkart.com/search?q=wireless+earbuds", "scrapedAt": "2026-07-09T18:31:54.263Z" } ``` ### Input settings | Setting | JSON key | Use it for | Default | | --- | --- | --- | --- | | Search queries | `searchQueries` | Flipkart keywords, categories, brands, or competitor terms. | `[]` | | Product URLs | `productUrls` | Specific Flipkart product pages to fetch best-effort. | `[]` | | Maximum products | `maxItems` | Cap saved rows and control spend. | `20` | | Maximum search pages | `pageLimit` | Limit pagination for each query. | `2` | | Sort search results by | `sortBy` | Choose `relevance`, `popularity`, `price_asc`, `price_desc`, or `recency`. | `relevance` | | Fetch product detail pages | `includeProductDetails` | Best-effort detail-page enrichment. Keep off for faster category monitoring. | `false` | | Proxy configuration | `proxyConfiguration` | Proxy settings for stable cloud scraping. Residential India is recommended for Flipkart. | Apify residential, India | ### Pricing | Event | Price | Charged when | | --- | --- | --- | | Run start | `$0.005` per run | Once when the Actor starts. | | Item processed | Tiered from `$0.000835` to `$0.0002033` per saved dataset row | Each product row saved to the dataset. | Current item tiers: Free `$0.000835`, Bronze `$0.00072609`, Silver `$0.00056635`, Gold `$0.00043565`, Platinum `$0.00029044`, Diamond `$0.0002033`. Tiered pricing is based on measured cloud run costs. Start with small `maxItems` values while testing. ### Tips for best results - Start with `maxItems: 10` and `pageLimit: 1` to confirm a query returns the products you expect. - Use search queries for the richest and most reliable price/rating/listing exports. - Use direct product URLs for best-effort checks; some Flipkart product pages may throttle anonymous requests. - Schedule repeat runs to monitor price changes, discounts, rating movement, and stock labels over time. - Keep queries focused by category, brand, model, or competitor keyword for cleaner exports. ### API usage Node.js: ```js import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor("fetch_cat/flipkart-products-scraper").call({ searchQueries: ["wireless earbuds"], maxItems: 10, pageLimit: 1 }); console.log(run.defaultDatasetId); ``` Python: ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("fetch_cat/flipkart-products-scraper").call(run_input={ "searchQueries": ["wireless earbuds"], "maxItems": 10, "pageLimit": 1, }) print(run["defaultDatasetId"]) ``` cURL: ```bash curl -X POST "https://api.apify.com/v2/acts/fetch_cat~flipkart-products-scraper/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"searchQueries":["wireless earbuds"],"maxItems":10,"pageLimit":1}' ``` ### MCP and AI agents Use this Actor from MCP-compatible tools through the official Apify MCP Server. ```bash claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/flipkart-products-scraper" ``` ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=fetch_cat/flipkart-products-scraper" } } } ``` Example prompt: "Run Flipkart Products Scraper for wireless earbuds and summarize the cheapest products with rating above 4.0." ### Limits and caveats - Flipkart pages can vary by region, category, and stock state, so some optional fields may be empty. - Direct product pages are fetched best-effort; search result pages are the recommended source for reliable listing exports. - Very large or frequent runs may be throttled by the source website. The default Apify residential proxy setting is recommended for cloud runs; keep runs scoped while testing. - Data is fresh at scrape time and can change after the run finishes. ### Legality and responsible use Process only data you are allowed to access. Follow Flipkart's terms, Apify's terms, and applicable laws. This Actor collects publicly visible catalog information and does not bypass logins or paywalls. ### Related actors - [Lazada Products Scraper](https://apify.com/fetch_cat/lazada-products-scraper) - [Target Products Scraper](https://apify.com/fetch_cat/target-products-scraper) - [Google Shopping Results Scraper](https://apify.com/fetch_cat/google-shopping-results-scraper) ### FAQ #### Can I export results? Yes. Apify datasets support JSON, CSV, Excel, XML, RSS, and API access. #### Can I monitor prices over time? Yes. Schedule the Actor with the same input and compare datasets between runs. #### Why are some fields empty? Flipkart does not expose every field for every product or page. The Actor leaves unavailable fields empty instead of guessing. #### Should I enable product details? Use `includeProductDetails` only when you need best-effort enrichment from individual product pages. Keep it disabled for faster and more reliable listing exports. ### Support Open an issue from the Actor page if a run fails or output looks wrong. Include the run ID or run URL, input JSON, expected output, actual output, and one reproducible public URL or query. # Actor input Schema ## `searchQueries` (type: `array`): Flipkart search terms to scrape, for example product categories, brands, or competitor keywords. ## `productUrls` (type: `array`): Optional direct Flipkart product URLs to scrape. Product pages are fetched best-effort because availability varies by page and region. ## `maxItems` (type: `integer`): Maximum number of product records to save across all queries and product URLs. ## `pageLimit` (type: `integer`): How many Flipkart search result pages to scan for each query. ## `sortBy` (type: `string`): Optional Flipkart search sorting mode. ## `includeProductDetails` (type: `boolean`): Best-effort enrichment from each product page. Keep disabled for faster and more reliable listing exports. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. Residential proxy in India is recommended because Flipkart may throttle cloud datacenter traffic. ## Actor input object example ```json { "searchQueries": [ "wireless earbuds" ], "productUrls": [ { "url": "https://www.flipkart.com/realme-buds-t110-rma2306-ai-enc-calls-38-hours-playback-deep-bass-bluetooth/p/itma5620a39a816e?pid=ACCH4HY6GRGJYUU8" } ], "maxItems": 20, "pageLimit": 2, "sortBy": "relevance", "includeProductDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `overview` (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 = { "searchQueries": [ "wireless earbuds" ], "productUrls": [ { "url": "https://www.flipkart.com/realme-buds-t110-rma2306-ai-enc-calls-38-hours-playback-deep-bass-bluetooth/p/itma5620a39a816e?pid=ACCH4HY6GRGJYUU8" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("fetch_cat/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 = { "searchQueries": ["wireless earbuds"], "productUrls": [{ "url": "https://www.flipkart.com/realme-buds-t110-rma2306-ai-enc-calls-38-hours-playback-deep-bass-bluetooth/p/itma5620a39a816e?pid=ACCH4HY6GRGJYUU8" }], } # Run the Actor and wait for it to finish run = client.actor("fetch_cat/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 '{ "searchQueries": [ "wireless earbuds" ], "productUrls": [ { "url": "https://www.flipkart.com/realme-buds-t110-rma2306-ai-enc-calls-38-hours-playback-deep-bass-bluetooth/p/itma5620a39a816e?pid=ACCH4HY6GRGJYUU8" } ] }' | apify call fetch_cat/flipkart-products-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetch_cat/flipkart-products-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Products Scraper", "description": "Scrape Flipkart product listings for prices, discounts, ratings, availability, offers, images, product IDs, and seller/catalog data.", "version": "0.1", "x-build-id": "ZQegeT81nKH0F8P6F" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetch_cat~flipkart-products-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetch_cat-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetch_cat~flipkart-products-scraper/runs": { "post": { "operationId": "runs-sync-fetch_cat-flipkart-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetch_cat~flipkart-products-scraper/run-sync": { "post": { "operationId": "run-sync-fetch_cat-flipkart-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Flipkart search terms to scrape, for example product categories, brands, or competitor keywords.", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Optional direct Flipkart product URLs to scrape. Product pages are fetched best-effort because availability varies by page and region.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum products", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of product records to save across all queries and product URLs.", "default": 20 }, "pageLimit": { "title": "Maximum search pages per query", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many Flipkart search result pages to scan for each query.", "default": 2 }, "sortBy": { "title": "Sort search results by", "enum": [ "relevance", "popularity", "price_asc", "price_desc", "recency" ], "type": "string", "description": "Optional Flipkart search sorting mode.", "default": "relevance" }, "includeProductDetails": { "title": "Fetch product detail pages", "type": "boolean", "description": "Best-effort enrichment from each product page. Keep disabled for faster and more reliable listing exports.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. Residential proxy in India is recommended because Flipkart may throttle cloud datacenter traffic.", "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 } } } } } } } } } } ```