How do I install Yandex Search?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Yandex Search need an API key?

No required environment variable is listed on this record.

What transport does Yandex Search use?

Yandex Search is reached over HTTP.

When was Yandex Search last checked?

Last checked 2026-11-09. Yandex search results, images, and SERP data via the Apify Yandex Search Scraper, hosted MCP.

Yandex Search MCP server

English | Русский

🔎 Yandex API: Structured Yandex Search Results in Clean JSON

The most efficient, reliable, and developer-friendly way to use the Yandex API.

Actor page: apify.com/johnvc/Scrape-Yandex Input schema: apify.com/johnvc/Scrape-Yandex/input-schema

The Yandex API runs a Yandex search for any query and returns clean, structured JSON. Choose the result types you want a la carte (organic listings, paid ads, knowledge graph entity cards, inline image panels, inline video panels); each selected type comes back as its own item tagged with item_type, plus per-page metadata. It supports 6 Yandex domains, 19 languages, and region targeting across 123,000+ locations, with sort/recency filters and fast parallel pagination.

Video Walkthrough

Quick Start

Prerequisites

Python 3.11 or higher
An Apify account and API key (get a free key here)

Clone the repository

git clone https://github.com/johnisanerd/Apify-Yandex-Search-Scraper.git
cd Apify-Yandex-Search-Scraper

Install dependencies with UV

# Install UV if you do not have it:
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install project dependencies:
uv sync

Configure your API key

cp .env.example .env
# Edit .env and add your Apify API key
# Get your free API key at: https://apify.com?fpr=9n7kx3

Run the example
```
uv run python yandex-scraper.py
```

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python yandex-scraper.py

Why Use This Yandex API?

Full results-page coverage. One call returns the whole Yandex results page as structured data: organic listings, paid ads, knowledge graph entity cards, inline image panels, and inline video panels. You get the entire page, not just the organic links.

Built for Russian-speaking and CIS markets. Target 6 Yandex domains (yandex.com, yandex.ru, yandex.by, yandex.kz, yandex.uz, yandex.com.tr), 19 languages, and any of 123,000+ region IDs. That makes it practical for SEO, competitive intelligence, and brand monitoring across Russia, Eastern Europe, Central Asia, and beyond.

Predictable, pay-per-use pricing. Billing is per run plus per page processed, with no monthly rental. You pay for the searches you actually make, and you control cost directly with the page limit.

Clean, consistent JSON. Every page is a structured dataset item with the same shape, so you parse results once and reuse the code across queries, domains, and languages.

Easy to automate. Call it from Python in a few lines, or load it as an MCP tool so assistants like Claude and Cursor can run Yandex searches for you on demand.

Features

Core Capabilities

Keyword search across Yandex with full results-page extraction
A la carte result types: toggle organic results, ads, knowledge graph, inline images, and inline videos independently; each selected type is returned as its own item tagged with item_type
Domain localization across 6 Yandex domains
Language targeting with 19 supported languages
Region targeting with 123,000+ location IDs (the lr parameter)
Sort and recency filters: sort_mode (relevance or date) and period (all, day, last_two_weeks, month)
Safe search and typo correction controls, plus fast parallel multi-page pagination

Data Quality

Structured organic results with title, link, snippet, position, displayed link, date, and sitelinks
Rich result blocks: ads, knowledge graph, inline images, inline videos, each with a result_count
Per-page metadata with domain, language, location, and pagination details
Consistent JSON shape across every query
Per-page billing so larger searches stay transparent

Usage Examples

Basic Example

A single-page search for one keyword. This is the cheapest way to try the API.

{
  "text": "machine learning",
  "yandex_domain": "yandex.com",
  "max_pages": 1
}

Advanced Example

A Russian-domain search with Russian language, a region ID, more results per page, and two pages.

{
  "text": "машинное обучение",
  "yandex_domain": "yandex.ru",
  "lang": "ru",
  "lr": 225,
  "groups_on_page": 20,
  "family_mode": 1,
  "max_pages": 2
}

A la carte: collect ads and the knowledge graph

Enable just the result types you want. Here organic is off and only ads plus the knowledge graph are returned, each as its own item.

{
  "text": "best running shoes",
  "include_organic_results": false,
  "include_ads": true,
  "include_knowledge_graph": true,
  "max_pages": 1
}

Fresh results: sort by date, last two weeks

Use sort_mode and period to focus on recent content. They apply to every selected result type.

{
  "text": "ai news",
  "yandex_domain": "yandex.ru",
  "lang": "ru",
  "sort_mode": "date",
  "period": "last_two_weeks",
  "max_pages": 1
}

Input Parameters

Parameter	Type	Required	Default	Description
`text`	`string`	Yes	-	The search query. Supports Yandex operators such as `site:wikipedia.org python`.
`include_organic_results`	`boolean`	No	`true`	Return organic results (`item_type` `organic`).
`include_ads`	`boolean`	No	`false`	Return paid ads when present (`item_type` `ads`).
`include_knowledge_graph`	`boolean`	No	`false`	Return the knowledge graph card when present (`item_type` `knowledge_graph`).
`include_inline_images`	`boolean`	No	`false`	Return the inline image strip (`item_type` `inline_images`).
`include_inline_videos`	`boolean`	No	`false`	Return the inline video carousel (`item_type` `inline_videos`).
`yandex_domain`	`string`	No	`yandex.com`	Yandex domain, e.g. `yandex.ru`, `yandex.com.tr`, `yandex.kz` (6 supported).
`lang`	`string`	No	`en`	Language code, e.g. `ru`, `en`, `tr`, `de` (19 supported); `null` for unspecified.
`lr`	`integer`	No	(domain default)	Region ID, e.g. `225` = Russia, = United States, = Belarus. 123,000+ IDs; see the Actor page for the full table.

Output Format

Each selected result type present on a page is returned as its own dataset item, tagged with item_type (organic, ads, knowledge_graph, inline_images, or inline_videos) and a result_count. A representative organic item for the query Apple is shown below; arrays and some fields are trimmed here for readability.

{
  "item_type": "organic",
  "result_count": 10,
  "text": "Apple",
  "yandex_domain": "yandex.com",
  "lang": "en",
  "lr": "84",
  "page_number": 1,
  "search_domain": "yandex.com",
  "search_domain_description": "United States",
  "search_language": "en",
  "search_language_description": "English",
  "search_location": "84",
  "total_results_found": 10,
  "pages_processed": 1,
  "total_pages": 1,
  "max_pages_set": 1,
  "results_per_page": 10,
  "pagination_limit_reached": true,
  "pagination_stopped_by_limit": true,
  "organic_results": [
    {
      "position": 1,
      "title": "Apple",
      "link": "https://www.apple.com/",
      "displayed_link": "apple.com",
      "snippet": "Apple Payments Services LLC, a subsidiary of Apple Inc., is a service provider of Goldman Sachs Bank USA for Apple Card and Savings accounts."
    },
    {
      "position": 3,
      "title": "Apple Inc. - Wikipedia",
      "link": "https://en.m.wikipedia.org/wiki/Apple_Inc.",
      "displayed_link": "en.m.wikipedia.org",
      "snippet": "Apple Inc. is an American multinational corporation and technology company headquartered in Cupertino, California, in Silicon Valley."
    }
  ],
  "ads_results": [],
  "knowledge_graph": [
    {
      "title": "Apple Inc.",
      "description": "American multinational technology company headquartered in Cupertino, California.",
      "source": { "name": "en.wikipedia.org" }
    }
  ],
  "inline_images": [],
  "inline_videos": []
}

Use as an MCP tool

You can load the Yandex API as an MCP tool so assistants call it for you. The MCP server URL preloads just this one Actor:

https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex

Authenticate with OAuth in the browser when offered, or with your Apify API token (the same APIFY_API_TOKEN used by the Python example). Get a token at https://console.apify.com/settings/integrations and a free Apify account at https://apify.com?fpr=9n7kx3 .

Install in Claude Cowork Desktop

Cowork is the desktop app's automation mode. To give it the Yandex API as a tool, add the Apify MCP server as a connector.

Open the Claude desktop app and go to Settings → Connectors (or Settings → Developer → Edit Config to edit claude_desktop_config.json directly).
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the Apify MCP server, preloaded with only this Actor:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex"
      ]
    }
  }
}

Restart the app. When Cowork first calls the tool, complete the OAuth prompt in your browser, or add your Apify API token in the connector settings to skip OAuth.
In a Cowork chat, confirm the tool is available and ask it to run the Yandex API.

Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop

Install in Claude Code

Claude Code is the command-line tool. Add the Actor's MCP server with one command:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex"

To use a token instead of browser OAuth:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex" \
  --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the Yandex API.

Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp

Install in Claude (website)

On claude.ai you add Apify as a connector, then enable just this Actor's tool.

Go to Settings → Connectors → Browse connectors and search for Apify MCP server. Install it (enable or update if prompted).
When connecting, authenticate with your Apify API token, and enable the tool johnvc/Scrape-Yandex.
In any chat, open + → Connectors and turn on Apify.
Alternatively, choose Add custom connector and paste the full MCP URL https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex, using OAuth when prompted.
Ask Claude to run the Yandex API.

Open Claude on the web: https://claude.ai/referral/uIlpa7nPLg

Install in Cursor

Cursor reads MCP servers from a project file at .cursor/mcp.json.

In your project, create .cursor/mcp.json:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex"
    }
  }
}

If you prefer token auth over browser OAuth, add a header:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Open Cursor → Settings → MCP and confirm the apify server is connected (green dot).
In Composer or Chat, ask Cursor to call the Yandex API.

New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

Install in ChatGPT

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).

Click your profile icon, then go to Settings > Apps. If you do not see a Create app button, open Advanced settings and enable Developer mode.
Click Create app and fill out the form:
- Name: Apify
- MCP Server URL: https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex
- Authentication: OAuth
Click Create and authorize the connection with Apify.
To use the app in a conversation, click + in the chat, choose Developer mode, and select Apify.

More help: https://docs.apify.com/platform/integrations/mcp

Made with care

Use the Yandex API to power your search and SEO workflows with reliable, structured results.

🤖 Ask an AI assistant about this Actor

Open a ready-to-send prompt about the Yandex Search API in the AI of your choice:

💬 ChatGPT
🧠 Claude
🔍 Perplexity
🅒 Copilot

Last Updated: 2026.10.27

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