# 2GIS Places Scraper — Russia & CIS Business Directory (`bovi/2gis-places-scraper`) Actor Scrape 2GIS (Russia/CIS maps) by city + search query. Returns business name, address, GPS, phones, website, hours, rating, rubrics. Covers Russia, Kazakhstan, Kyrgyzstan, UAE + 20 countries. Pay per result. - **URL**: https://apify.com/bovi/2gis-places-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Lead generation, Business, MCP servers - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.81 / 1,000 place records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Places Scraper — Russia & CIS Business Directory Extract businesses and places from **2GIS** — the leading maps & directory platform for Russia, Kazakhstan, UAE, and 20+ other CIS/MENA countries. Get structured B2B leads with **phone, email, social links, GPS, opening hours, ratings, photos, and category tags** — no browser, no API key required. 2GIS covers **70+ million businesses** across Russia, Kazakhstan, Kyrgyzstan, Belarus, UAE, Saudi Arabia and more — the go-to source for CIS-region lead generation. This scraper reads the same public Catalog API the 2GIS site itself uses, so it's fast and reliable (no headless browser, no `/museum` redirect). It runs on Apify RESIDENTIAL IPs and rotates to a fresh IP automatically if the shared key gets throttled — for very high volume you can also plug in your own free 2GIS key. ### What you get — 51 fields per place **Identity & category**: `name`, `org_name`, `org_id`, `org_type`, `branch_count`, `tgis_id`, `rubrics`, `primary_rubric`, `url` **Address (structured)**: `address`, `city`, `region`, `district`, `country`, `street`, `house_number`, `postcode`, `address_comment`, `lat`, `lon` **Contacts (lead-gen)**: `phones`, `email`, `website`, `socials` (VK / Telegram / WhatsApp …) **Reputation**: `rating`, `review_count`, `review_count_with_stars`, `org_rating`, `org_review_count`, `is_reviewable`, `flamp_rating`, `flamp_review_count` **Business detail**: `hours`, `is_open_now`, `photo_count`, `main_photo_url`, `attributes`, `avg_check`, `business_lunch`, `cuisines`, `payment_methods`, `badges`, `nearest_metro` **Freshness & marketing**: `created_at`, `updated_at`, `is_advertised`, `promo_text`, `booking_url`, `description`, `editorial_comment` **Provenance**: `parse_confidence` (0–1) ### Sample output (real, Moscow / «рестораны») ```json { "tgis_id": "70000001031659781", "name": "Мясо&Рыба", "org_name": "Мясо&Рыба, ресторан", "branch_count": 11, "address": "Москва, Тверская улица, 23/12", "city": "Москва", "region": "Москва", "district": "Тверской", "country": "Россия", "street": "Тверская улица", "house_number": "23/12", "postcode": "123001", "lat": 55.766672, "lon": 37.599969, "phones": ["+79164952569", "+74956090908"], "email": "fb@meat-and-fish.ru", "website": "http://meat-and-fish.ru", "socials": {"vkontakte": "https://vk.com/meat_and_fish", "telegram": "https://t.me/..."}, "rating": 4.8, "review_count": 1214, "review_count_with_stars": 1599, "org_rating": 4.7, "org_review_count": 3766, "flamp_rating": 4.9, "flamp_review_count": 24, "org_type": "ресторан", "rubrics": ["Рестораны", "Доставка еды"], "primary_rubric": "Рестораны", "photo_count": 264, "main_photo_url": "https://i3.photo.2gis.com/...", "avg_check": "Чек 2150 ₽", "business_lunch": "Ланч от 680 ₽", "cuisines": ["Европейская кухня", "Рыбная кухня"], "payment_methods": ["Оплата картой", "Наличный расчёт", "Оплата по QR-коду"], "created_at": "2018-03-24T00:00:00Z", "updated_at": "2026-04-09T03:00:00Z", "is_advertised": true, "promo_text": "Гармоничное сочетание стейк-хауса и рыбного ресторана", "booking_url": "https://meat-and-fish.ru/reservation/", "badges": ["Победитель Премии 2ГИС 2019"], "hours": {"Mon": {"working_hours": [{"from": "00:00", "to": "24:00"}]}}, "url": "https://2gis.ru/firm/70000001031659781", "parse_confidence": 1.0 } ```` ### How to use 1. **query** — what to search for, in Russian or English (`рестораны`, `стоматология`, `pharmacy`). 2. **city** — a city name or slug. English (`moscow`, `spb`, `almaty`) or native (`Москва`, `Алматы`) both work; the country is resolved automatically. 3. **maxItems** — how many results to return (default 50; `0` = all available for the query, often hundreds). 4. **apiKey** *(optional)* — leave blank to use the built-in public key. For higher volume, register a free key at platform.2gis.ru (no credit card) and paste it here. ### vs other 2GIS scrapers | | This actor | m\_mamaev/2gis-places-scraper | zen-studio/2gis-places-scraper-api | piotrv1001/2gis-scraper | |---|---|---|---|---| | Headless (no browser) | ✅ | ✅ | ✅ | ✅ | | Email extraction | ✅ | partial | ❌ (empty) | ❌ | | Social links (VK/TG/WA) | ✅ | ❌ | ✅ | ❌ | | Structured address (district/street/postcode) | ✅ | ✅ | ✅ | partial | | Attributes (avg check, cuisine) | ✅ | ✅ | ✅ | partial | | Input fields | **4 (clean)** | 33 (heavy) | ~6 | ~3 | | `parse_confidence` quality signal | ✅ | ❌ | ❌ | ❌ | | No API key required | ✅ | ✅ | ✅ | ✅ | ### Use cases - **B2B lead generation** across Russia & CIS — phone + email + socials for restaurants, clinics, auto shops, retail chains. - **Market research** — count competitors, map locations, compare ratings and average-check tiers. - **CRM enrichment** — verify and enrich contact lists with current phone/address/social data. - **Geo-analytics & logistics** — POI databases for new market entry across 200+ cities. ### FAQ **Do I need a proxy?** No. The 2GIS Catalog API is publicly reachable and not aggressively rate-limited; the actor connects directly. A proxy is optional for very high volume. **Do I need a 2GIS API key?** No. A public key is built in (returns hundreds of results per search). For higher limits, add your own free key from platform.2gis.ru. **Which countries are covered?** Russia, Kazakhstan, Kyrgyzstan, UAE, Uzbekistan, Belarus, Saudi Arabia, Qatar, Cyprus, Czech Republic, Georgia, Moldova, Nigeria, Azerbaijan and more — the city you pass resolves to the right country automatically. **Is the data fresh?** Yes — it comes from the same live Catalog API that powers 2gis.ru, including ratings, hours and photos updated by 2GIS. ### Use with AI agents (MCP) This actor is agent-ready. Call it from Claude Desktop, Cursor, n8n AI, or any MCP client: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?actors=bovi/2gis-places-scraper", "headers": { "Authorization": "Bearer " } } } } ``` ### Pricing Pay per result — each scraped business = 1 charged event. You are not billed for Apify platform compute separately; the per-result price covers the run. # Actor input Schema ## `query` (type: `string`): What to search for, e.g. 'рестораны', 'стоматология', 'аптеки', 'автосервис' ## `city` (type: `string`): City name or slug, e.g. 'moscow', 'spb', 'novosibirsk', 'almaty', 'dubai', or the native name ('Москва', 'Алматы'). The country is resolved automatically from the city. ## `maxItems` (type: `integer`): Maximum number of places to return (0 = collect all available for the query, often hundreds) ## `apiKey` (type: `string`): Leave blank to use the built-in public key (no signup, returns hundreds of results per search). For higher volume, register a free key at platform.2gis.ru (no credit card) and paste it here. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. RESIDENTIAL recommended for best reliability. ## `domain` (type: `string`): 2GIS regional domain. Default '2gis.ru' covers Russia. Use '2gis.kz' for Kazakhstan, '2gis.ae' for UAE, etc. ## Actor input object example ```json { "query": "рестораны", "city": "moscow", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "domain": "2gis.ru" } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing 2gis Places Scraper records (name, address, city, phones, website, rating, review\_count, rubrics, hours, url, is\_open\_now, parse\_confidence). # 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": "кофейня", "city": "Москва", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/2gis-places-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 = { "query": "кофейня", "city": "Москва", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/2gis-places-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 '{ "query": "кофейня", "city": "Москва", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/2gis-places-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/2gis-places-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "2GIS Places Scraper — Russia & CIS Business Directory", "description": "Scrape 2GIS (Russia/CIS maps) by city + search query. Returns business name, address, GPS, phones, website, hours, rating, rubrics. Covers Russia, Kazakhstan, Kyrgyzstan, UAE + 20 countries. Pay per result.", "version": "0.1", "x-build-id": "67sBEogZQ8U1nLxCb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~2gis-places-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-2gis-places-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~2gis-places-scraper/runs": { "post": { "operationId": "runs-sync-bovi-2gis-places-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~2gis-places-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-2gis-places-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query", "city" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "What to search for, e.g. 'рестораны', 'стоматология', 'аптеки', 'автосервис'" }, "city": { "title": "City", "type": "string", "description": "City name or slug, e.g. 'moscow', 'spb', 'novosibirsk', 'almaty', 'dubai', or the native name ('Москва', 'Алматы'). The country is resolved automatically from the city." }, "maxItems": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Maximum number of places to return (0 = collect all available for the query, often hundreds)", "default": 50 }, "apiKey": { "title": "2GIS API key (optional)", "type": "string", "description": "Leave blank to use the built-in public key (no signup, returns hundreds of results per search). For higher volume, register a free key at platform.2gis.ru (no credit card) and paste it here." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. RESIDENTIAL recommended for best reliability." }, "domain": { "title": "2GIS domain (country)", "enum": [ "2gis.ru", "2gis.kz", "2gis.kg", "2gis.ae", "2gis.com", "2gis.uz", "2gis.az", "2gis.by", "2gis.cy", "2gis.cz", "2gis.ge", "2gis.md", "2gis.ng", "2gis.qa", "2gis.sa" ], "type": "string", "description": "2GIS regional domain. Default '2gis.ru' covers Russia. Use '2gis.kz' for Kazakhstan, '2gis.ae' for UAE, etc.", "default": "2gis.ru" } } }, "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 } } } } } } } } } } ```