# BigBasket Grocery Scraper - Products & Prices (`fascinating_lentil/bigbasket-grocery-scraper`) Actor Collect public BigBasket grocery catalog data including brands, pack sizes, prices, discounts, ratings, availability, categories, images, and product URLs. - **URL**: https://apify.com/fascinating\_lentil/bigbasket-grocery-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Automation, 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 ## BigBasket Grocery Scraper - Products & Prices Collect public BigBasket grocery and household product catalog data by search keyword or category URL. The Actor returns clean, structured records containing product names, brands, pack sizes, current prices, MRP, discounts, ratings, availability, categories, images, and canonical product URLs. The scraper uses BigBasket's public storefront listing service and initializes the anonymous regional cookies used by the website. India residential proxies are recommended because product availability and prices can vary by service area. ### Features - Search multiple grocery keywords in one run - Scrape supported BigBasket category and brand URLs - Process up to 1,000 unique products - Filter by exact brand name or in-stock availability - Deduplicate products globally by product ID - Export JSON, CSV, Excel, XML, RSS, or JSONL through Apify Dataset - Charge only after a real product record is saved ### How to Scrape BigBasket Products 1. Add one or more search keywords, category URLs, or both. 2. Choose the maximum result and page limits. 3. Optionally add brand filters or enable in-stock-only mode. 4. Run the Actor and export the Products dataset view. ### Input ```json { "keywords": ["milk", "rice"], "categoryUrls": [], "brands": ["Amul"], "inStockOnly": true, "maxResults": 100, "maxPagesPerSource": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### Output ```json { "sourceType": "keyword", "source": "milk", "position": 1, "productId": "40147597", "productName": "Daily Health Toned Milk", "brand": "Heritage", "packSize": "500 ml", "currentPrice": 32, "marketPrice": 32, "discountPercent": null, "savingsAmount": null, "currency": "INR", "unitPrice": "INR 0.06/ml", "rating": 3.7, "ratingCount": 18036, "reviewCount": 181, "soldText": "310K+ SOLD IN 1 MONTH", "category": "Bakery, Cakes & Dairy", "subcategory": "Fresh Milk", "inStock": true, "expressDelivery": false, "imageUrl": "https://www.bbassets.com/media/uploads/p/l/40147597_9-heritage-daily-health-toned-milk.jpg", "productUrl": "https://www.bigbasket.com/pd/40147597/heritage-daily-health-toned-milk-500-ml-pouch/", "scrapedAt": "2026-06-13T08:00:00.000Z" } ``` ### Use Cases - Grocery and FMCG price monitoring - Retail catalog research - Brand and pack-size comparison - Discount and availability tracking - Assortment and category analysis ### Pricing | Event | Price | Description | |---|---:|---| | `product-scraped` | $0.002 | One clean product saved to the dataset | ### Data Notes BigBasket prices and availability are regional and can change frequently. Some products do not expose ratings, reviews, discounts, sold counts, or express-delivery status; those fields are returned as `null` or `false` rather than fabricated. ### Responsible Use This Actor collects only publicly available, non-personal information. It does not collect personal contact details, account data, or private information. 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 ## `keywords` (type: `array`): One or more grocery searches. Duplicate products are removed across all sources. ## `categoryUrls` (type: `array`): Optional BigBasket category URLs, such as https://www.bigbasket.com/pc/fruits-vegetables/fresh-vegetables/ ## `brands` (type: `array`): Optional exact brand names. Matching is case-insensitive. ## `inStockOnly` (type: `boolean`): Exclude products marked unavailable or not for sale. ## `maxResults` (type: `integer`): Maximum unique products saved across the complete run. ## `maxPagesPerSource` (type: `integer`): Maximum result pages requested for each keyword or category URL. ## `proxyConfiguration` (type: `object`): India residential proxies are recommended for regional availability and pricing. ## Actor input object example ```json { "keywords": [ "milk", "rice" ], "categoryUrls": [], "brands": [], "inStockOnly": false, "maxResults": 100, "maxPagesPerSource": 10, "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 = { "keywords": [ "milk", "rice" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/bigbasket-grocery-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 = { "keywords": [ "milk", "rice", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/bigbasket-grocery-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 '{ "keywords": [ "milk", "rice" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call fascinating_lentil/bigbasket-grocery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/bigbasket-grocery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BigBasket Grocery Scraper - Products & Prices", "description": "Collect public BigBasket grocery catalog data including brands, pack sizes, prices, discounts, ratings, availability, categories, images, and product URLs.", "version": "1.0", "x-build-id": "fh6WuR2Abm3BgScVK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~bigbasket-grocery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-bigbasket-grocery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~bigbasket-grocery-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-bigbasket-grocery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~bigbasket-grocery-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-bigbasket-grocery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "One or more grocery searches. Duplicate products are removed across all sources.", "default": [ "milk" ], "items": { "type": "string" } }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "Optional BigBasket category URLs, such as https://www.bigbasket.com/pc/fruits-vegetables/fresh-vegetables/", "default": [], "items": { "type": "string" } }, "brands": { "title": "Brand filter", "type": "array", "description": "Optional exact brand names. Matching is case-insensitive.", "default": [], "items": { "type": "string" } }, "inStockOnly": { "title": "In-stock products only", "type": "boolean", "description": "Exclude products marked unavailable or not for sale.", "default": false }, "maxResults": { "title": "Maximum products", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum unique products saved across the complete run.", "default": 100 }, "maxPagesPerSource": { "title": "Pages per source", "minimum": 1, "maximum": 25, "type": "integer", "description": "Maximum result pages requested for each keyword or category URL.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "India residential proxies are recommended for regional availability and pricing.", "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 } } } } } } } } } } ```