# $0.9/1k Zepto Grocery Search Scraper | Prices, MRP India (`architjn/zepto-search-scraper`) Actor Scrape Zepto (zepto.com) search by keyword: names, prices, MRP, discounts, ratings, images & stock by delivery address in India. Quick-commerce data for price monitoring and retail analytics. Set area + city (e.g. Koramangala Bangalore). - **URL**: https://apify.com/architjn/zepto-search-scraper.md - **Developed by:** [Archit Jain](https://apify.com/architjn) (community) - **Categories:** Automation, E-commerce - **Stats:** 5 total users, 3 monthly users, 58.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 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.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 ## Zepto Grocery Search Scraper | Prices, MRP & Stock India Scrape [Zepto](https://www.zepto.com) keyword search results and export grocery product data—prices, MRP, discounts, stock, ratings, and images—for any delivery address in India. Built for price monitoring, assortment tracking, and quick-commerce market research. Prices and availability depend on **where you order from**. Set **Delivery location** to an area and city Zepto can service (for example `Koramangala Bangalore` or `Bandra West Mumbai`). The actor selects the **first address suggestion** from Zepto’s picker—use a specific area name, not only a pincode. ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `queries` | array | Yes | — | Search terms (e.g. `milk`, `amul butter`, `bread`). | | `locationQuery` | string | Yes | — | Delivery area and city (e.g. `Koramangala Bangalore`). | | `maxItems` | integer | No | `50` | Maximum total products saved across all queries. | | `maxItemsPerQuery` | integer | No | `50` | Maximum products per search term (also limited by `maxItems`). | | `proxyConfiguration` | object | No | Residential proxy on | Apify residential proxy (recommended on Apify cloud). | ### Output Results are saved to the run **dataset**—one JSON object per product card in search results. Each item includes: | Field | Description | |-------|-------------| | `searchQuery` | Keyword that found this product | | `locationQuery` | Address text used to set delivery | | `locationLabel` | Label from the selected suggestion, when available | | `rank` | Position in results for that query (1 = first) | | `name`, `brand`, `quantity` | Product title, brand, pack size | | `price`, `mrp`, `currency` | Selling price and MRP in INR | | `inStock` | Availability on the card | | `rating`, `ratingCount` | Customer rating when shown | | `sponsored` | Paid ad placement when detectable | | `discountText` | Offer label on the card, if any | | `imageUrl`, `images` | Product image(s) | | `productUrl` | Link to the product on Zepto | | `productId`, `variantId` | Zepto variant identifiers | | `scrapedAt` | When the row was collected (ISO time) | Download as JSON, CSV, or Excel from the dataset tab, or connect via API / integrations. ### Pricing Structure **Pay per usage** — you are charged for Apify compute (runtime, memory) for each run. Proxy traffic for reliable access to Zepto is included in the actor setup on cloud runs. ### Examples #### Example 1: Milk in Bangalore **Input:** ```json { "queries": ["milk"], "locationQuery": "Koramangala Bangalore", "maxItems": 20 } ```` **Output (sample row):** ```json { "platform": "zepto", "searchQuery": "milk", "locationQuery": "Koramangala Bangalore", "rank": 1, "name": "Nandini Toned Milk", "brand": "Nandini", "quantity": "500 ml", "price": 28, "mrp": 30, "currency": "INR", "inStock": true, "productUrl": "https://www.zepto.com/pn/..." } ``` #### Example 2: Multiple queries in Mumbai **Input:** ```json { "queries": ["bread", "butter"], "locationQuery": "Bandra West Mumbai", "maxItems": 50, "maxItemsPerQuery": 30 } ``` **Output:** Up to 30 products per query, 50 total across both keywords. ### Best Practices 1. **Be specific with `locationQuery`** — include area and city (`Sector 18 Noida`), not only a pincode. 2. **Start with low limits** — use `maxItems: 10` to test cost and output before large runs. 3. **Set a spending limit** in the Apify Console before long runs. 4. **One location per run** — all queries use the same delivery address. 5. If the run fails with “not serviceable”, Zepto does not deliver to that address—try a nearby serviced area. # Actor input Schema ## `queries` (type: `array`): Search keywords (e.g. milk, oil) or a Zepto search URL. Not category /cn/ links — use the Zepto Category actor for those. ## `locationQuery` (type: `string`): Area and city for Zepto delivery (e.g. Koramangala Bangalore, Bandra West Mumbai). The first address suggestion is selected. ## `maxItems` (type: `integer`): Maximum total products in the dataset across all queries. ## `maxItemsPerQuery` (type: `integer`): Maximum products per search query (also capped by max dataset items). ## `proxyConfiguration` (type: `object`): Apify residential proxy on cloud (enabled by default there). For local runs, leave disabled or set useApifyProxy to false. ## Actor input object example ```json { "queries": [ "milk" ], "locationQuery": "Koramangala Bangalore", "maxItems": 50, "maxItemsPerQuery": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `products` (type: `string`): Browse Zepto search results with price, MRP, pack size, stock, ratings, and product links. ## `dataset` (type: `string`): All product records from this run in JSON format. ## `runInput` (type: `string`): Copy of the Actor input used for this run (queries and delivery location). # 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 = { "queries": [ "milk" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("architjn/zepto-search-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 = { "queries": ["milk"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("architjn/zepto-search-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 '{ "queries": [ "milk" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call architjn/zepto-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=architjn/zepto-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "$0.9/1k Zepto Grocery Search Scraper | Prices, MRP India", "description": "Scrape Zepto (zepto.com) search by keyword: names, prices, MRP, discounts, ratings, images & stock by delivery address in India. Quick-commerce data for price monitoring and retail analytics. Set area + city (e.g. Koramangala Bangalore).", "version": "0.2", "x-build-id": "nIrMyPWbexdfF80ym" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/architjn~zepto-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-architjn-zepto-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/architjn~zepto-search-scraper/runs": { "post": { "operationId": "runs-sync-architjn-zepto-search-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/architjn~zepto-search-scraper/run-sync": { "post": { "operationId": "run-sync-architjn-zepto-search-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", "required": [ "queries", "locationQuery" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Search keywords (e.g. milk, oil) or a Zepto search URL. Not category /cn/ links — use the Zepto Category actor for those.", "default": [ "milk" ], "items": { "type": "string" } }, "locationQuery": { "title": "Delivery location", "type": "string", "description": "Area and city for Zepto delivery (e.g. Koramangala Bangalore, Bandra West Mumbai). The first address suggestion is selected.", "default": "Koramangala Bangalore" }, "maxItems": { "title": "Max dataset items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total products in the dataset across all queries.", "default": 50 }, "maxItemsPerQuery": { "title": "Max items per query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum products per search query (also capped by max dataset items).", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify residential proxy on cloud (enabled by default there). For local runs, leave disabled or set useApifyProxy to 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 } } } } } } } } } } ```