# 2GIS Scraper (`ahaham_bytiz/2gis-scraper`) Actor Scrape organizations from 2GIS — name, address, phones, website, categories, rating, reviews count, working hours, geo coordinates. Works without Apify Proxy. Supports search queries, city + rubric filters and direct organization URLs. - **URL**: https://apify.com/ahaham\_bytiz/2gis-scraper.md - **Developed by:** [Max Consta](https://apify.com/ahaham_bytiz) (community) - **Categories:** Developer tools, E-commerce, Jobs - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 2gis scrapers 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 ## 2GIS Scraper Scrape organizations from [2GIS](https://2gis.ru) — name, address, phones, website, email (when public), categories, rating, reviews count, coordinates, working hours. ### Input ```json { "searchQueries": [ { "query": "кофейни", "city": "moscow" }, { "query": "dentist", "city": "prague" } ], "startUrls": [ { "url": "https://2gis.ru/moscow/firm/70000001024523412" } ], "maxItems": 100, "maxPagesPerQuery": 5, "language": "ru" } ```` `searchQueries` items can also be plain strings if you include the city in the query itself (e.g. `"cafes Barcelona"`). ### Output Each result: ```json { "url": "https://2gis.ru/moscow/firm/...", "orgId": "70000001024523412", "name": "...", "address": "...", "city": "moscow", "phones": ["+7..."], "website": "https://...", "emails": ["info@..."], "rubrics": ["Cafe", "Coffee shop"], "rating": 4.6, "reviewsCount": 312, "lat": 55.75, "lon": 37.61, "scheduleToday": "круглосуточно" } ``` ### Pricing model Pay-per-result. Recommended: **$1.00 per 1 000 organizations**. ### Notes - Uses the public 2GIS Catalog API (`catalog.api.2gis.com`) which powers 2gis.ru. No client API key required. - Proxy is optional. Only enable Apify Proxy if you run very large volumes. - City slug examples: `moscow`, `spb`, `novosibirsk`, `prague`, `nicosia`, `new-york`. # Actor input Schema ## `searchQueries` (type: `array`): List of search queries. Each item is either a plain string (e.g. "coffee shops Moscow") or an object {query, city}. City is optional if included in the query. ## `startUrls` (type: `array`): Optional direct 2GIS URLs — org pages (e.g. https://2gis.ru/moscow/firm/70000001024523412) or search result pages. ## `maxItems` (type: `integer`): Maximum number of organizations to scrape across all queries. 0 = unlimited. ## `maxPagesPerQuery` (type: `integer`): Maximum pages per query (~12 results per page). ## `fetchDetails` (type: `boolean`): Fetch each firm's detail page to collect phones, emails, website and social links (search results page does not include contacts). Slower but much richer output. ## `language` (type: `string`): Accept-Language header passed to 2gis.ru (affects how org names and rubrics are rendered for cities that have multiple locales). ## `proxyConfiguration` (type: `object`): Proxy is optional — 2GIS public API is not aggressively rate-limited. ## Actor input object example ```json { "searchQueries": [ { "query": "кофейни", "city": "moscow" }, { "query": "auto repair", "city": "new-york" } ], "startUrls": [], "maxItems": 100, "maxPagesPerQuery": 10, "fetchDetails": true, "language": "ru", "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": [ { "query": "кофейни", "city": "moscow" }, { "query": "auto repair", "city": "new-york" } ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("ahaham_bytiz/2gis-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": [ { "query": "кофейни", "city": "moscow", }, { "query": "auto repair", "city": "new-york", }, ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("ahaham_bytiz/2gis-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": [ { "query": "кофейни", "city": "moscow" }, { "query": "auto repair", "city": "new-york" } ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call ahaham_bytiz/2gis-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahaham_bytiz/2gis-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "2GIS Scraper", "description": "Scrape organizations from 2GIS — name, address, phones, website, categories, rating, reviews count, working hours, geo coordinates. Works without Apify Proxy. Supports search queries, city + rubric filters and direct organization URLs.", "version": "0.1", "x-build-id": "AqMVDpg6Vv61bZWn7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahaham_bytiz~2gis-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahaham_bytiz-2gis-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahaham_bytiz~2gis-scraper/runs": { "post": { "operationId": "runs-sync-ahaham_bytiz-2gis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahaham_bytiz~2gis-scraper/run-sync": { "post": { "operationId": "run-sync-ahaham_bytiz-2gis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "List of search queries. Each item is either a plain string (e.g. \"coffee shops Moscow\") or an object {query, city}. City is optional if included in the query." }, "startUrls": { "title": "Direct 2GIS URLs", "type": "array", "description": "Optional direct 2GIS URLs — org pages (e.g. https://2gis.ru/moscow/firm/70000001024523412) or search result pages.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 0, "maximum": 50000, "type": "integer", "description": "Maximum number of organizations to scrape across all queries. 0 = unlimited.", "default": 100 }, "maxPagesPerQuery": { "title": "Max pages per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum pages per query (~12 results per page).", "default": 10 }, "fetchDetails": { "title": "Fetch firm detail pages", "type": "boolean", "description": "Fetch each firm's detail page to collect phones, emails, website and social links (search results page does not include contacts). Slower but much richer output.", "default": true }, "language": { "title": "Language", "enum": [ "ru", "en", "es", "it", "cs" ], "type": "string", "description": "Accept-Language header passed to 2gis.ru (affects how org names and rubrics are rendered for cities that have multiple locales).", "default": "ru" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy is optional — 2GIS public API is not aggressively rate-limited." } } }, "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 } } } } } } } } } } ```