# 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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 |
All 30 declared dataset fields
`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`
#### 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 '' with your token
const client = new ApifyClient({
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 '' with your token.
client = ApifyClient("")
# 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 "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Yandex News Scraper",
"description": "Scrapes news articles from Yandex Search news results. Extracts headline, summary, source, publication date, author, thumbnail, and more.",
"version": "2.0",
"x-build-id": "QR5EYmh8nVhdkpfEB"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/searchapi~yandex-news-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-searchapi-yandex-news-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/searchapi~yandex-news-scraper/runs": {
"post": {
"operationId": "runs-sync-searchapi-yandex-news-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/searchapi~yandex-news-scraper/run-sync": {
"post": {
"operationId": "run-sync-searchapi-yandex-news-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"title": "Search Query",
"type": "string",
"description": "The search query to find news articles on Yandex."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Maximum number of news results to scrape.",
"default": 20
},
"language": {
"title": "Language",
"type": "string",
"description": "Search language code (e.g. 'en', 'ru').",
"default": "en"
},
"lr": {
"title": "Region Code (lr)",
"type": "string",
"description": "Yandex region code. E.g. '213' for Moscow, '84' for USA.",
"default": ""
},
"timeRange": {
"title": "Time Range",
"enum": [
"",
"day",
"week",
"month"
],
"type": "string",
"description": "Filter by time period.",
"default": ""
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for the scraper. Residential proxies recommended."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```