# Meesho Full Catalog / Bulk Exporter (`axlymxp/meesho-full-catalog-exporter`) Actor Large-scale scraping of entire Meesho categories or search terms. Export 1,000–10,000+ products in one run. - **URL**: https://apify.com/axlymxp/meesho-full-catalog-exporter.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 ## Meesho Full Catalog / Bulk Exporter Export massive quantities of [Meesho](https://www.meesho.com) product data in a single run — entire categories, deep search results, or all popular categories at once. Powered by Meesho's reverse-engineered internal Android API for maximum speed without a browser. ### Features - **Search mode** — deep-paginate any keyword up to 100 pages - **Category mode** — scrape an entire category by ID - **Popular categories mode** — automatically fetch all top Meesho categories and scrape each one sequentially - **Deduplication** — catalog IDs are tracked globally; no duplicates across sources - **Hard item cap** — `max_total_items` stops the run at your chosen limit regardless of pages remaining - **Optional reviews** — per-product reviews can be added to the output - **Progress logging** — every page and source is logged in the Apify console ### Input | Field | Type | Default | Description | | ------------------------- | ------- | -------- | ------------------------------------------------------- | | `mode` | string | `search` | `search`, `category`, or `popular_categories` | | `query` | string | — | Search keyword (required for `search` mode) | | `category_id` | integer | — | Category ID (required for `category` mode) | | `max_pages` | integer | `15` | Pages per source (max 100) | | `limit_per_page` | integer | `20` | Products per API call (max 50) | | `sort_option` | string | — | `POPULARITY`, `PRICE_ASC`, `PRICE_DESC`, `NEW_ARRIVALS` | | `include_reviews` | boolean | `false` | Fetch buyer reviews (significantly slower) | | `max_reviews_per_product` | integer | `5` | Reviews per product when enabled | | `delay_between_requests` | integer | `500` | Delay between API calls in ms | | `max_total_items` | integer | `5000` | Hard cap on total items exported | | `proxy_url` | string | — | Optional HTTP/HTTPS proxy URL | #### Sample Inputs **Bulk search export:** ```json { "mode": "search", "query": "saree", "max_pages": 30, "limit_per_page": 40, "max_total_items": 1000, "sort_option": "POPULARITY" } ```` **Full category export:** ```json { "mode": "category", "category_id": 12345, "max_pages": 50, "limit_per_page": 40, "max_total_items": 2000 } ``` **All popular categories:** ```json { "mode": "popular_categories", "max_pages": 10, "limit_per_page": 20, "max_total_items": 50000 } ``` ### Output Each dataset item represents one unique product: ```json { "catalog_id": 131015550, "name": "Women Printed Rayon Saree", "price": 399, "original_price": 899, "discount": 55.6, "image_url": "https://images.meesho.com/...", "images": ["https://..."], "supplier_id": 123456, "supplier_name": "Fashion Hub", "rating": 4.1, "reviews_count": 512, "category": "Sarees", "url": "https://www.meesho.com/product/131015550", "fetched_at": "2026-05-03T10:00:00+00:00", "reviews": [] } ``` ### Performance Tips | Goal | Settings | | ------------------------ | ------------------------------------------------------------------- | | Max speed | `delay=200`, `limit_per_page=40`, `include_reviews=false` | | Large safe export | `delay=800`, `limit_per_page=20`, `max_total_items=10000` | | Full catalog (overnight) | `mode=popular_categories`, `max_pages=50`, `max_total_items=100000` | ### Technical Notes - Uses the Meesho Android API (`prod.meeshoapi.com`). - TLS fingerprint spoofed via `curl_cffi` (Chrome 120 profile) to bypass Akamai Bot Manager. - No Apify Proxy is used; all connections are direct by default. - Catalog IDs are deduplicated in-memory across all pages and categories. ### License Apache 2.0 # Actor input Schema ## `mode` (type: `string`): 'search' — deep-paginate a keyword; 'category' — scrape an entire category by ID; 'popular\_categories' — automatically fetch top Meesho categories and scrape each one. ## `query` (type: `string`): Keyword to bulk-scrape (required when mode=search). E.g. 'saree', 'kurti'. ## `category_id` (type: `integer`): catalog\_listing\_page\_id to scrape (required when mode=category). Run the Search & Category Scraper in fetch\_categories mode to find IDs. ## `max_pages` (type: `integer`): Number of pages to paginate per category or search query. ## `limit_per_page` (type: `integer`): Products fetched per API call (max 50). ## `sort_option` (type: `string`): Sort order applied to every search/category request. Leave empty for default ranking. ## `include_reviews` (type: `boolean`): Fetch buyer reviews for each product. Significantly increases run time — keep disabled for large exports. ## `max_reviews_per_product` (type: `integer`): Number of reviews to fetch per product (only when include\_reviews=true). ## `delay_between_requests` (type: `integer`): Polite delay between API calls. Increase to 800–1500 ms if you hit rate limits. ## `max_total_items` (type: `integer`): Stop after collecting this many unique products regardless of pages remaining. ## `proxy_url` (type: `string`): Optional HTTP/HTTPS proxy URL, e.g. http://user:pass@host:port. Apify Proxy is never used automatically. ## Actor input object example ```json { "mode": "search", "query": "saree", "max_pages": 15, "limit_per_page": 20, "include_reviews": false, "max_reviews_per_product": 5, "delay_between_requests": 500, "max_total_items": 5000 } ``` # 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 = { "query": "saree" }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/meesho-full-catalog-exporter").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 = { "query": "saree" } # Run the Actor and wait for it to finish run = client.actor("axlymxp/meesho-full-catalog-exporter").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 '{ "query": "saree" }' | apify call axlymxp/meesho-full-catalog-exporter --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/meesho-full-catalog-exporter", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meesho Full Catalog / Bulk Exporter", "description": "Large-scale scraping of entire Meesho categories or search terms. Export 1,000–10,000+ products in one run.", "version": "1.0", "x-build-id": "VzwEnbK6ybMTIvRQm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~meesho-full-catalog-exporter/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-meesho-full-catalog-exporter", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~meesho-full-catalog-exporter/runs": { "post": { "operationId": "runs-sync-axlymxp-meesho-full-catalog-exporter", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~meesho-full-catalog-exporter/run-sync": { "post": { "operationId": "run-sync-axlymxp-meesho-full-catalog-exporter", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "category", "search", "popular_categories" ], "type": "string", "description": "'search' — deep-paginate a keyword; 'category' — scrape an entire category by ID; 'popular_categories' — automatically fetch top Meesho categories and scrape each one.", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "Keyword to bulk-scrape (required when mode=search). E.g. 'saree', 'kurti'." }, "category_id": { "title": "Category ID", "type": "integer", "description": "catalog_listing_page_id to scrape (required when mode=category). Run the Search & Category Scraper in fetch_categories mode to find IDs." }, "max_pages": { "title": "Maximum pages per source", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of pages to paginate per category or search query.", "default": 15 }, "limit_per_page": { "title": "Results per page", "minimum": 1, "maximum": 50, "type": "integer", "description": "Products fetched per API call (max 50).", "default": 20 }, "sort_option": { "title": "Sort Option", "enum": [ "POPULARITY", "PRICE_ASC", "PRICE_DESC", "NEW_ARRIVALS" ], "type": "string", "description": "Sort order applied to every search/category request. Leave empty for default ranking." }, "include_reviews": { "title": "Include Reviews", "type": "boolean", "description": "Fetch buyer reviews for each product. Significantly increases run time — keep disabled for large exports.", "default": false }, "max_reviews_per_product": { "title": "Max Reviews per Product", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of reviews to fetch per product (only when include_reviews=true).", "default": 5 }, "delay_between_requests": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Polite delay between API calls. Increase to 800–1500 ms if you hit rate limits.", "default": 500 }, "max_total_items": { "title": "Hard limit on total items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Stop after collecting this many unique products regardless of pages remaining.", "default": 5000 }, "proxy_url": { "title": "Proxy URL (optional)", "type": "string", "description": "Optional HTTP/HTTPS proxy URL, e.g. http://user:pass@host:port. Apify Proxy is never used automatically." } } }, "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 } } } } } } } } } } ```