# Yandex AI Overview Scraper (`searchapi/yandex-ai-overview-scraper`) Actor

Scrapes Yandex AI Overview blocks (YandexGPT-powered summaries shown above organic results). Extracts the full AI-overview schema: overview text + HTML, AI summary, sources, citations, references, follow-up questions, model name, and more.

- **URL**: https://apify.com/searchapi/yandex-ai-overview-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 yandex ai overview 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 AI Overview Scraper

Extracts Yandex AI Overview blocks when they appear for a search query, including overview text, source and citation data, follow-up questions, model metadata, and search context.

### What this Actor collects

The Actor processes one search query and creates a structured record when Yandex returns an AI Overview; overview-specific fields remain optional because the block is not shown for every query.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 26-field dataset schema.
- Optional overview, citation, source, and model fields are populated only when Yandex exposes them.

### Use cases

- Answer-engine monitoring
- Citation and source research
- Generative-search analysis

### Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

| Field | Type | Required | Default | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | — | The search query to look up on Yandex. An AI overview is extracted only if present. |
| `maxItems` | integer | No | `10` | Output cap from 1 to 100. Because input accepts one query, a run normally emits at most one overview record. |
| `country` | string | No | `""` | Country code for localized results (e.g. 'us', 'ru'). |
| `language` | string | No | `"en"` | Language code for search results (e.g. 'en', 'ru'). |
| `proxyConfiguration` | object | No | — | Proxy settings for the scraper. Residential proxies are recommended. |

#### Example input

```json
{
  "query": "what is yandex",
  "maxItems": 20,
  "country": "ru",
  "language": "ru",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

### Output

The default dataset contains at most one AI Overview item for the input query. Sources, citations, references, follow-up questions, and model fields are included only when Yandex exposes them.

| Field | Type | Description |
| --- | --- | --- |
| `query` | string | Query |
| `aiSummary` | string | Ai Summary |
| `sourceCount` | integer | Source Count |
| `modelName` | string | Model Name |
| `scrapedAt` | string | Scraped At |
| `position` | integer | Position |
| `type` | string | Type |
| `searchQuery` | string | Search Query |
| `resultType` | string | Result Type |
| `page` | integer | Page |
| `hasAiOverview` | boolean | Has Ai Overview |
| `aiBlockType` | string | Ai Block Type |
| `aiOverview` | string | Ai Overview |
| `aiOverviewHtml` | string | Ai Overview HTML |
| `aiOverviewPlain` | string | Ai Overview Plain |
| `aiShortSummary` | string | Ai Short Summary |

<details>
<summary>All 26 declared dataset fields</summary>

`query`, `aiSummary`, `sourceCount`, `modelName`, `scrapedAt`, `type`, `resultType`, `position`, `page`, `searchQuery`
`hasAiOverview`, `aiBlockType`, `aiOverview`, `aiOverviewHtml`, `aiOverviewPlain`, `aiShortSummary`, `sources`, `citations`, `references`, `followUpQuestions`
`modelVersion`, `language`, `country`, `region`, `searchUrl`, `searchMetadata`

</details>

#### Example dataset item

No static output record is embedded because the current local storage has no trustworthy item. Run the Actor with the example input to create source-backed output; the Actor does not fabricate a sample record.

### Related Actors

- [Yandex Images Scraper](https://apify.com/searchapi/yandex-image-scraper)
- [Yandex Maps Scraper](https://apify.com/searchapi/yandex-maps-scraper)
- [Yandex News Scraper](https://apify.com/searchapi/yandex-news-scraper)

# Actor input Schema

## `query` (type: `string`):

The search query to look up on Yandex. An AI overview will be extracted if present.

## `maxItems` (type: `integer`):

Maximum number of queries to process (one result per query).

## `country` (type: `string`):

Country code for localized results (e.g. 'us', 'ru').

## `language` (type: `string`):

Language code for search results (e.g. 'en', 'ru').

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper. Residential proxies recommended.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 10,
  "country": "",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Canonical v2 schema for Yandex AI Overview results.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "artificial intelligence",
    "maxItems": 10,
    "language": "en",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/yandex-ai-overview-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "artificial intelligence",
    "maxItems": 10,
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/yandex-ai-overview-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": 10,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call searchapi/yandex-ai-overview-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=searchapi/yandex-ai-overview-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/pFM6aPitVWm7VCDd5/builds/WTzE4d6HAT86EwEy2/openapi.json