# Yandex Search Scraper (`searchapi/yandex-search-scraper`) Actor Scrapes organic web search results from Yandex (yandex.com). Extracts title, link, snippet, domain, displayed URL, date, favicon, site links, and more. - **URL**: https://apify.com/searchapi/yandex-search-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** SEO tools, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 yandex search scraper results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Yandex Search Scraper ### What is this tool? Yandex Search Scraper helps you collect search data from Yandex (Russia's #1 search engine). Just type in your search term, and the tool will gather all the websites, articles, and information that Yandex returns. ### What can you use it for? - Research on any topic with web search results - SEO research and content strategy - Monitor how brands and topics appear in search - Build datasets and knowledge bases ### What data do you get? Each result includes up to **41 fields**, organized into the following categories: **Identity** (5 fields): Type, Result Type, Position, Page Number, Rich Result Type (knowledge, video, image, baike) **URLs** (9 fields): Link, URL (alias of link), Display URL, Source / Publisher (alias of displayUrl), Domain, Favicon URL, Thumbnail URL, Site Links (sub-links under main result), Search URL **Text** (7 fields): Title, Title (with HTML emphasis), Snippet, Snippet (with HTML emphasis), Description (alias of snippet), Emphasis (query terms highlighted in title/snippet), Published At (raw text) **Pricing** (3 fields): Price (raw), Price (numeric), Currency (ISO 4217) **Ratings** (2 fields): Rating (0-5), Rating Count **Location** (1 fields): Country **Dates & Duration** (3 fields): Date (raw), Published At (ISO 8601), Relative Time (e.g. '2 days ago') **Source** (1 fields): Author / Source Site **Search Context** (5 fields): Search Query, Query (alias of searchQuery), Market, Language, Search Metadata **Other** (5 fields): Breadcrumbs, Is Ad, Is Sponsored, Is Official Site (官方), Scraped At (ISO 8601) ### How to use it #### Step 1: Enter your search Type in your search term, like "artificial intelligence". #### Step 2: Set your preferences Adjust the options below to customize your search. #### Step 3: Run the tool Click the run button and wait for your results. The tool will gather all the data and save it in a clean, organized format. ### Input options | Option | What it means | Required | Default | |--------|---------------|----------|---------| | **Search Query** | The search query to look up on Yandex Search. | Yes | artificial intelligence | | **Max Items** | Max search results to scrape. | No | 20 | | **Country** | Country code for localized results (e.g. 'us', 'ru', 'de'). | No | — | | **Language** | Search language code (e.g. 'en', 'ru', 'de'). | No | en | | **Region Code (lr)** | Yandex region code. E.g. '213' for Moscow, '84' for USA, '100763' for London. | No | — | | **Time Range** | Filter results by time period (within parameter). Options: (Any Time), 1 (Past Day), 7 (Past Week), 30 (Past Month). | No | — | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Title** - **Link** - **Snippet** - **Source / Publisher (alias of displayUrl)** - **Date (raw)** - **Is Ad** - **Is Official Site (官方)** - **Market** - **Scraped At (ISO 8601)** #### Full details view Shows all 41 fields in detail. See "What data do you get?" above for the complete list. ### Tips for best results ✅ **Use Russian keywords** for the best results since Yandex is a Russian search engine ✅ **Be specific** with your search terms for more relevant results ✅ **Try different variations** of your search term to discover more results ✅ **Browse multiple pages** of results to get a wider variety ### Frequently asked questions **Why use Yandex?** Yandex is the most popular search engine in Russia. It returns results that other search engines (like Google) may not have, especially for Russian-language content and the Russian market. **How do I get the results?** Your results are saved in your Apify dashboard. You can download them in various formats (JSON, CSV, Excel) or access them via the API. **Can I run it on a schedule?** Yes! Apify supports scheduled runs. You can set up the tool to run automatically at any interval (hourly, daily, weekly, etc.) from your dashboard. **What if I get fewer results than I asked for?** This can happen if the search engine doesn't have enough matching results for your search, or if some results are blocked. Try different keywords or relax your filters. **Need more help?** If you have questions or run into issues, our support team is ready to help. Just reach out through the Apify platform and we'll get back to you quickly. # Actor input Schema ## `query` (type: `string`): The search query to look up on Yandex Search. ## `maxItems` (type: `integer`): Maximum number of search results to scrape. ## `country` (type: `string`): Country code for localized results (e.g. 'us', 'ru', 'de'). ## `language` (type: `string`): Search language code (e.g. 'en', 'ru', 'de'). ## `lr` (type: `string`): Yandex region code. E.g. '213' for Moscow, '84' for USA, '100763' for London. ## `timeRange` (type: `string`): Filter results by time period (within parameter). ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. Residential proxies recommended for reliable results. ## Actor input object example ```json { "query": "artificial intelligence", "maxItems": 20, "country": "", "language": "en", "lr": "", "timeRange": "", "proxyConfiguration": { "useApifyProxy": true } } ```` # 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": "artificial intelligence", "maxItems": 20, "language": "en", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/yandex-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 = { "query": "artificial intelligence", "maxItems": 20, "language": "en", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/yandex-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 '{ "query": "artificial intelligence", "maxItems": 20, "language": "en", "proxyConfiguration": { "useApifyProxy": true } }' | apify call searchapi/yandex-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/yandex-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yandex Search Scraper", "description": "Scrapes organic web search results from Yandex (yandex.com). Extracts title, link, snippet, domain, displayed URL, date, favicon, site links, and more.", "version": "2.0", "x-build-id": "69DklZpwRCkgu3UvM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~yandex-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-yandex-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~yandex-search-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-yandex-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~yandex-search-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-yandex-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The search query to look up on Yandex Search." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of search results to scrape.", "default": 20 }, "country": { "title": "Country", "type": "string", "description": "Country code for localized results (e.g. 'us', 'ru', 'de').", "default": "" }, "language": { "title": "Language", "type": "string", "description": "Search language code (e.g. 'en', 'ru', 'de').", "default": "en" }, "lr": { "title": "Region Code (lr)", "type": "string", "description": "Yandex region code. E.g. '213' for Moscow, '84' for USA, '100763' for London.", "default": "" }, "timeRange": { "title": "Time Range", "enum": [ "", "1", "7", "30" ], "type": "string", "description": "Filter results by time period (within parameter).", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper. Residential proxies recommended for reliable results." } } }, "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 } } } } } } } } } } ```