# India E-commerce Price Tracker (`fascinating_lentil/india-ecommerce-price-tracker`) Actor Track non-personal product prices, discounts, ratings, images, stock status, and URLs across major Indian e-commerce marketplaces for price monitoring and market research. - **URL**: https://apify.com/fascinating\_lentil/india-ecommerce-price-tracker.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 product scrapeds 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 ## India E-commerce Price Tracker Track public product catalog and price data from major Indian e-commerce marketplaces in one normalized Apify dataset. Supported sources: - Flipkart - Myntra - BigBasket - Blinkit - JioMart - Meesho - AliExpress The Actor extracts product-only facts: product ID, title, brand, price, MRP, discount, currency, pack size, category, rating value, rating count, stock status, image URL, product URL, source, search query, city, and scrape timestamp. It does not output seller names, merchant IDs, phone numbers, emails, reviewer identities, or other personal data. ### Input | Field | Type | Description | | --- | --- | --- | | `sources` | array | Sources to query. One blocked source is skipped while others continue. | | `searchQueries` | array | Product keywords such as `milk`, `kurti`, or `iphone case`. | | `city` | string | Location name for location-aware sources. | | `latitude`, `longitude` | number | Coordinates for Blinkit and JioMart. | | `brands` | array | Optional exact brand filters. | | `minPrice`, `maxPrice` | number | Optional price range. | | `inStockOnly` | boolean | Keep only records clearly marked in stock. | | `maxResults` | integer | Maximum saved records across selected sources. | | `maxPagesPerQuery` | integer | Per-source pagination/scroll limit. | | `proxyConfiguration` | object | India residential proxy is recommended. | ### Sample Output ```json { "source": "bigbasket", "searchQuery": "milk", "position": 1, "productId": "40022638", "title": "Amul Taaza Toned Milk", "brand": "Amul", "price": 30, "mrp": 30, "discountPercent": null, "currency": "INR", "packSize": "500 ml", "category": "Bakery, Cakes & Dairy", "rating": 4.5, "ratingCount": 1200, "inStock": true, "imageUrl": "https://...", "productUrl": "https://...", "city": "Mumbai", "scrapedAt": "2026-06-14T07:00:00.000Z" } ```` ### Use Cases - Price monitoring across marketplaces - Competitor price and discount tracking - Assortment and availability research - Grocery and fashion catalog intelligence - Marketplace market research ### Pricing This Actor uses pay per event pricing. | Event | Price | | --- | ---: | | `product-scraped` | `$0.002` per clean product record | ### Known Limits These are commercial websites with anti-bot systems and regional catalogs. Use an India residential proxy for best results. Some sources may occasionally block or return no results; the Actor isolates each source and continues with the remaining selected sources. ### Responsible Use This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations. Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users. ### License Apache-2.0 # Actor input Schema ## `sources` (type: `array`): Indian e-commerce sources to query. Each source is isolated; blocked sources are skipped without failing the full run. ## `searchQueries` (type: `array`): Product keywords to search, such as milk, kurti, iphone case, or wireless earbuds. ## `city` (type: `string`): Used for location-aware sources such as BigBasket, Blinkit, and JioMart. ## `latitude` (type: `number`): Latitude for location-aware sources. ## `longitude` (type: `number`): Longitude for location-aware sources. ## `brands` (type: `array`): Optional exact brand filters. Leave empty to keep all brands. ## `minPrice` (type: `number`): Minimum product price to keep. ## `maxPrice` (type: `number`): Maximum product price to keep. ## `inStockOnly` (type: `boolean`): Keep only products clearly marked as in stock. ## `maxResults` (type: `integer`): Maximum clean product records to save across all selected sources. ## `maxPagesPerQuery` (type: `integer`): Limits pagination or scroll payloads per source/query. ## `proxyConfiguration` (type: `object`): Residential India proxy is recommended for these commercial sites. ## Actor input object example ```json { "sources": [ "flipkart", "myntra", "bigbasket", "meesho" ], "searchQueries": [ "milk" ], "city": "Mumbai", "latitude": 19.076, "longitude": 72.8777, "minPrice": 0, "maxPrice": 1000000, "inStockOnly": false, "maxResults": 50, "maxPagesPerQuery": 2, "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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/india-ecommerce-price-tracker").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 = {} # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/india-ecommerce-price-tracker").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 '{}' | apify call fascinating_lentil/india-ecommerce-price-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/india-ecommerce-price-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "India E-commerce Price Tracker", "description": "Track non-personal product prices, discounts, ratings, images, stock status, and URLs across major Indian e-commerce marketplaces for price monitoring and market research.", "version": "1.0", "x-build-id": "bFfgN9jBWt52FEqnd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~india-ecommerce-price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-india-ecommerce-price-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~india-ecommerce-price-tracker/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-india-ecommerce-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~india-ecommerce-price-tracker/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-india-ecommerce-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sources": { "title": "Sources", "uniqueItems": true, "type": "array", "description": "Indian e-commerce sources to query. Each source is isolated; blocked sources are skipped without failing the full run.", "items": { "type": "string", "enum": [ "flipkart", "myntra", "bigbasket", "blinkit", "jiomart", "meesho", "aliexpress" ], "enumTitles": [ "Flipkart", "Myntra", "BigBasket", "Blinkit", "JioMart", "Meesho", "AliExpress" ] }, "default": [ "flipkart", "myntra", "bigbasket", "meesho" ] }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Product keywords to search, such as milk, kurti, iphone case, or wireless earbuds.", "items": { "type": "string" }, "default": [ "milk" ] }, "city": { "title": "City / location name", "type": "string", "description": "Used for location-aware sources such as BigBasket, Blinkit, and JioMart.", "default": "Mumbai" }, "latitude": { "title": "Latitude", "type": "number", "description": "Latitude for location-aware sources.", "default": 19.076 }, "longitude": { "title": "Longitude", "type": "number", "description": "Longitude for location-aware sources.", "default": 72.8777 }, "brands": { "title": "Brand filter", "type": "array", "description": "Optional exact brand filters. Leave empty to keep all brands.", "items": { "type": "string" } }, "minPrice": { "title": "Minimum price", "minimum": 0, "type": "number", "description": "Minimum product price to keep.", "default": 0 }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "number", "description": "Maximum product price to keep.", "default": 1000000 }, "inStockOnly": { "title": "In-stock only", "type": "boolean", "description": "Keep only products clearly marked as in stock.", "default": false }, "maxResults": { "title": "Maximum product records", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum clean product records to save across all selected sources.", "default": 50 }, "maxPagesPerQuery": { "title": "Maximum pages per query", "minimum": 1, "maximum": 25, "type": "integer", "description": "Limits pagination or scroll payloads per source/query.", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential India proxy is recommended for these commercial sites.", "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 } } } } } } } } } } ```