# Zepto Grocery Scraper (`axlymxp/zepto-grocery-scraper`) Actor Scrape Zepto product data by keyword or product URL for any delivery location in India: name, brand, pack size, MRP, selling price, Super Saver price, discount, stock, category and image — priced per store. No signing or unblocking subscription needed. - **URL**: https://apify.com/axlymxp/zepto-grocery-scraper.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** E-commerce, AI, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 dataset items 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 ## Zepto Grocery Scraper Extract real-time grocery product data from **Zepto** — India's quick-commerce platform — for **any delivery location**. Search by keyword or paste product URLs/IDs and get clean, structured rows with **live prices, discounts, pack sizes, stock and images**, each priced for the store that serves your chosen coordinates. Because Zepto prices and availability vary by store, you can pass **multiple locations** and compare the exact same product across cities in one run. ### Why this scraper - **Location-accurate pricing** — every row is priced for a real serving store, not a generic national price. - **Rich fields** — MRP, selling price, Super Saver price, Zepto Pass price, discount %, category tree, manufacturer, FSSAI license, and images. - **Keyword search that actually works** — built on Zepto's mobile product-search API, so a plain keyword returns the full paginated grid. - **Reliable & self-contained** — no browser, no unblocking subscription, no login. ### What you get (output fields) | Field | Description | | --------------------------------------------------------- | ------------------------------ | | `name`, `brand`, `pack_size` | Product identity | | `mrp`, `selling_price`, `discounted_selling_price` | Pricing in INR | | `super_saver_price`, `zepto_pass_price` | Membership/bulk pricing in INR | | `discount_amount`, `discount_percent` | Savings | | `in_stock`, `available_quantity`, `max_allowed_quantity` | Live availability | | `category`, `subcategory` (+ ids) | Taxonomy | | `manufacturer_name`, `country_of_origin`, `fssai_license` | Compliance/provenance | | `image`, `images` | Product imagery | | `product_variant_id`, `product_id` | Stable identifiers | | `store_id`, `location_label`, `latitude`, `longitude` | Delivery context | | `source_query`, `scraped_at` | Provenance | ### Use cases - **Price & discount intelligence** — track competitor and own-brand pricing across Zepto stores and cities. - **FMCG / brand monitoring** — monitor availability, pack sizes and MRP compliance for your SKUs. - **Quick-commerce analytics** — build dashboards on assortment, stock-outs and discount depth by location. - **Market research** — snapshot category assortment and pricing spread across metros. ### Input | Field | Type | Description | | ------------------ | ------- | ----------------------------------------------------------------------------------------------------------------------- | | `searchQueries` | array | Keywords to search (one search per keyword). | | `productUrls` | array | Zepto product URLs (`/pn//pvid/`) or bare product-variant IDs. | | `locations` | array | Delivery points. Each item: `label` + `latitude`/`longitude`, or a `location` string (Indian city name or `"lat,lng"`). | | `maxPagesPerQuery` | integer | Search pages per keyword (~30 products/page). Default 3. | | `maxItems` | integer | Global cap on rows. Default 500. | #### Example input ```json { "searchQueries": ["milk", "amul butter"], "locations": [ { "label": "Mumbai", "latitude": 19.076, "longitude": 72.8777 }, { "label": "Bengaluru", "location": "bangalore" } ], "maxPagesPerQuery": 2, "maxItems": 500 } ```` #### Example output row ```json { "name": "Country Delight Cow Fresh Milk | Pouch", "brand": "Country Delight", "pack_size": "1 pack (450 ml)", "mrp": 48.0, "selling_price": 46.0, "super_saver_price": 46.0, "discount_percent": 4, "in_stock": true, "available_quantity": 6, "category": "Dairy, Bread & Eggs", "subcategory": "Milk", "image": "https://ik.imagekit.io/jupdt2k6txi/cms/product_variant/....jpeg", "store_id": "6ad459f8-927e-4a94-8a80-432502af0e8c", "location_label": "Mumbai", "scraped_at": "2026-07-19T05:00:00Z" } ``` ### Scheduling & integration Run on a **schedule** to build a price-history dataset, or trigger via **webhook** / the Apify API. Results export to JSON, CSV, Excel, or push straight to your database or BI tool through Apify integrations. ### AI assistants (MCP) Prefer to query Zepto live from Claude, Cursor or ChatGPT? Use the companion **Zepto MCP Server** actor, which exposes search and product lookup as MCP tools. ### FAQ **Which locations are supported?** Any serviceable point in India. Pass explicit coordinates for precision, or a known city name. Non-serviceable coordinates are skipped with a log message. **How fresh is the data?** Every run fetches live prices and stock at request time. **Do I need proxies or a login?** No. The actor talks to Zepto's public mobile API directly — no login, no unblocking subscription. An optional Indian proxy is available if you want requests to egress from India. **Is scraping this legal?** You are responsible for how you use the data. Scrape publicly available information and comply with Zepto's terms and applicable law. **Why do prices differ between locations?** Zepto is store-based quick commerce; each store sets its own assortment, price and stock — which is exactly what this actor captures. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search on Zepto (one search per keyword). Returns the full priced product grid, paginated. ## `productUrls` (type: `array`): Direct Zepto product URLs (/pn//pvid/) or bare product-variant IDs to fetch full detail for. ## `locations` (type: `array`): One or more delivery points to price products for. Each item is an object with optional 'label' and either 'latitude'+'longitude' or a 'location' string (a known Indian city name or 'lat,lng'). Zepto prices vary by store, so each location produces its own rows. ## `maxPagesPerQuery` (type: `integer`): Search pages per keyword query (about 30 products per page). ## `maxItems` (type: `integer`): Global cap across all locations, queries and URLs. The run stops once this many product rows are pushed. ## `proxyConfiguration` (type: `object`): Optional. The Zepto mobile API is not IP-gated, so proxies are usually unnecessary. Enable an Indian proxy only if you want requests to egress from India. ## Actor input object example ```json { "searchQueries": [ "milk", "parle-g biscuit", "amul butter" ], "productUrls": [ "ed495088-935c-44a9-919b-b667fde1ac87" ], "locations": [ { "label": "Mumbai", "latitude": 19.076, "longitude": 72.8777 }, { "label": "Bengaluru", "location": "bangalore" } ], "maxPagesPerQuery": 3, "maxItems": 500, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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": [ "milk" ], "locations": [ { "label": "Mumbai - Bandra West", "latitude": 19.0595596, "longitude": 72.8295287 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/zepto-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 = { "searchQueries": ["milk"], "locations": [{ "label": "Mumbai - Bandra West", "latitude": 19.0595596, "longitude": 72.8295287, }], } # Run the Actor and wait for it to finish run = client.actor("axlymxp/zepto-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 '{ "searchQueries": [ "milk" ], "locations": [ { "label": "Mumbai - Bandra West", "latitude": 19.0595596, "longitude": 72.8295287 } ] }' | apify call axlymxp/zepto-grocery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/zepto-grocery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zepto Grocery Scraper", "description": "Scrape Zepto product data by keyword or product URL for any delivery location in India: name, brand, pack size, MRP, selling price, Super Saver price, discount, stock, category and image — priced per store. No signing or unblocking subscription needed.", "version": "1.0", "x-build-id": "4LgzTR9F77fj90dyV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~zepto-grocery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-zepto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~zepto-grocery-scraper/runs": { "post": { "operationId": "runs-sync-axlymxp-zepto-grocery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~zepto-grocery-scraper/run-sync": { "post": { "operationId": "run-sync-axlymxp-zepto-grocery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search on Zepto (one search per keyword). Returns the full priced product grid, paginated.", "default": [], "items": { "type": "string" } }, "productUrls": { "title": "Product URLs or IDs", "type": "array", "description": "Direct Zepto product URLs (/pn//pvid/) or bare product-variant IDs to fetch full detail for.", "default": [], "items": { "type": "string" } }, "locations": { "title": "Delivery locations", "type": "array", "description": "One or more delivery points to price products for. Each item is an object with optional 'label' and either 'latitude'+'longitude' or a 'location' string (a known Indian city name or 'lat,lng'). Zepto prices vary by store, so each location produces its own rows.", "default": [] }, "maxPagesPerQuery": { "title": "Max search pages per query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Search pages per keyword query (about 30 products per page).", "default": 3 }, "maxItems": { "title": "Max items (total)", "minimum": 1, "type": "integer", "description": "Global cap across all locations, queries and URLs. The run stops once this many product rows are pushed.", "default": 500 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. The Zepto mobile API is not IP-gated, so proxies are usually unnecessary. Enable an Indian proxy only if you want requests to egress from India.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```