# Yandex News Scraper (`searchapi/yandex-news-scraper`) Actor

Scrapes news articles from Yandex Search news results. Extracts headline, summary, source, publication date, author, thumbnail, and more.

- **URL**: https://apify.com/searchapi/yandex-news-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** News, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 News Scraper

Scrapes news results surfaced by Yandex and returns headline, article URL, snippet, publisher, publication time, author, thumbnail, and search metadata when available.

### What this Actor collects

The Actor creates one dataset item per Yandex news result and retains both normalized and source-displayed publication times.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 30-field dataset schema.
- Optional author, timing, category, and image fields are populated only when Yandex exposes them.

### Use cases

- News monitoring
- Publisher and topic research
- Article-feed enrichment

### 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 used to find news articles on Yandex. |
| `maxItems` | integer | No | `20` | Maximum number of news results to scrape. |
| `language` | string | No | `"en"` | Search language code (e.g. 'en', 'ru'). |
| `lr` | string | No | `""` | Yandex region code. E.g. '213' for Moscow, '84' for USA. |
| `timeRange` | string | No | `""` | Publication filter: `day`, `week`, or `month`; empty means no time filter. |
| `proxyConfiguration` | object | No | — | Proxy settings for the scraper. Residential proxies are recommended. |

#### Example input

```json
{
  "query": "artificial intelligence",
  "maxItems": 20,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

### Output

The default dataset contains one item per news result. Author, category, image, normalized date, and source URL fields appear only when present on the result card.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `title` | string | Title |
| `snippet` | string | Snippet |
| `source` | string | Source |
| `date` | string | Date |
| `link` | string | Link |
| `author` | string | Author |
| `type` | string | Type |
| `url` | string | URL |
| `query` | string | Query |
| `searchQuery` | string | Search Query |
| `scrapedAt` | string | Scraped At |
| `page` | integer | Page |
| `resultType` | string | Result Type |
| `displayUrl` | string | Display URL |
| `domain` | string | Domain |

<details>
<summary>All 30 declared dataset fields</summary>

`position`, `page`, `type`, `resultType`, `title`, `snippet`, `link`, `url`, `displayUrl`, `domain`
`source`, `sourceUrl`, `author`, `publishedAt`, `publishedAtRaw`, `relativeTime`, `date`, `category`, `thumbnail`, `imageUrl`
`isBreaking`, `isSponsored`, `isAd`, `searchQuery`, `query`, `searchUrl`, `country`, `language`, `scrapedAt`, `searchMetadata`

</details>

#### Example dataset item

This compact example is a subset of one item in local Actor storage; every displayed value is unmodified.

```json
{
  "position": 1,
  "title": "AMD поставит Anthropic до 2 ГВт ускорителей Instinct MI450",
  "source": "TrashExpert.ru",
  "date": "Вчера в 23:11",
  "link": "https://trashexpert.ru/news/hardware-news/amd-anthropic-instinct-mi450?utm_source=yxnews&utm_medium=desktop&utm_referrer=https%3A%2F%2Fdzen.ru%2Fnews%2Fsearch",
  "author": "TrashExpert.ru",
  "type": "news",
  "url": "https://trashexpert.ru/news/hardware-news/amd-anthropic-instinct-mi450?utm_source=yxnews&utm_medium=desktop&utm_referrer=https%3A%2F%2Fdzen.ru%2Fnews%2Fsearch",
  "searchQuery": "artificial intelligence",
  "scrapedAt": "2026-07-23T12:37:29.216Z",
  "page": 1
}
```

### Related Actors

- [Yandex AI Overview Scraper](https://apify.com/searchapi/yandex-ai-overview-scraper)
- [Yandex Images Scraper](https://apify.com/searchapi/yandex-image-scraper)
- [Yandex Maps Scraper](https://apify.com/searchapi/yandex-maps-scraper)

# Actor input Schema

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

The search query to find news articles on Yandex.

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

Maximum number of news results to scrape.

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

Search language code (e.g. 'en', 'ru').

## `lr` (type: `string`):

Yandex region code. E.g. '213' for Moscow, '84' for USA.

## `timeRange` (type: `string`):

Filter by time period.

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

Proxy settings for the scraper. Residential proxies recommended.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 20,
  "language": "en",
  "lr": "",
  "timeRange": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Canonical dataset schema for yandex-news-scraper

# 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": 20,
    "language": "en",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/yandex-news-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": 20,
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/yandex-news-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-news-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3ibf438FZgEGOUjaD/builds/QR5EYmh8nVhdkpfEB/openapi.json