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)

1. Clone the repository

   bash

   Copy

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

2. Install dependencies with UV

   bash

   Copy

   # 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

   Copy

   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

   Copy

   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

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.