# yandex-search [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/johnisanerd/Apify-Yandex-Search-Scraper  
**GitHub Stars:** 1  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/yandex-search

## Description
Yandex search results, images, and SERP data via the Apify Yandex Search Scraper, hosted MCP.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

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

## Documentation & README

**English** | [Русский](https://github.com/johnisanerd/Apify-Yandex-Search-Scraper/blob/HEAD/README.ru.md)

# 🔎 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](https://apify.com/johnvc/Scrape-Yandex?fpr=9n7kx3)
**Input schema:** [apify.com/johnvc/Scrape-Yandex/input-schema](https://apify.com/johnvc/Scrape-Yandex/input-schema?fpr=9n7kx3)

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

[![Watch the walkthrough](https://img.youtube.com/vi/jREWahDGhJM/maxresdefault.jpg)](https://www.youtube.com/watch?v=jREWahDGhJM)

## Quick Start

### Prerequisites
- Python 3.11 or higher
- An Apify account and API key ([get a free key here](https://apify.com?fpr=9n7kx3))

1. **Clone the repository**
   ```bash
   git clone https://github.com/johnisanerd/Apify-Yandex-Search-Scraper.git
   cd Apify-Yandex-Search-Scraper
   ```

2. **Install dependencies with UV**
   ```bash
   # Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Install project dependencies:
   uv sync
   ```

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

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

### Alternative: set the API key directly
```bash
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.
```json
{
  "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.
```json
{
  "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.
```json
{
  "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.
```json
{
  "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, `84` = United States, `149` = Belarus. 123,000+ IDs; see the Actor page for the full table. |
| `max_pages` | `integer` | No | `2` | Maximum pages to fetch (`0` = no limit). Applies to every selected result type. |
| `sort_mode` | `string` | No | `relevance` | Result ordering: `relevance` or `date` (newest first). |
| `period` | `string` | No | `all` | Recency window: `all`, `day`, `last_two_weeks`, `month`. |
| `groups_on_page` | `integer` | No | `10` | Results per page (1 to 20). |
| `family_mode` | `integer` | No | `1` | Safe search: `0` = off, `1` = moderate, `2` = strict. |
| `fix_typo` | `boolean` | No | `true` | Auto-correct spelling errors in the query. |
| `output_file` | `string` | No | (none) | Optional filename to save results; auto-generated if omitted. |

## 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.

```json
{
  "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

![Install in Claude Cowork Desktop](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_desktop.png)

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.

1. 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`
2. Add the Apify MCP server, preloaded with only this Actor:

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

3. 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.
4. 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

![Install in Claude Code](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_code.png)

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

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

To use a token instead of browser OAuth:

```bash
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)

![Install in Claude (website)](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_ai.png)

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

1. Go to **Settings → Connectors → Browse connectors** and search for **Apify MCP server**. Install it (enable or update if prompted).
2. When connecting, authenticate with your Apify API token, and enable the tool `johnvc/Scrape-Yandex`.
3. In any chat, open **+ → Connectors** and turn on **Apify**.
4. 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.
5. Ask Claude to run the Yandex API.

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

## Install in Cursor

![Install in Cursor](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_cursor.png)

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

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

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

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

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

3. Open **Cursor → Settings → MCP** and confirm the **apify** server is connected (green dot).
4. 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

![Install in ChatGPT](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_ChatGPT.png)

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

1. 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**.
2. 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
3. Click **Create** and authorize the connection with Apify.
4. 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**](https://apify.com/johnvc?fpr=9n7kx3)

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

Last Updated: 2026.09.09