# Yahoo Search Scraper (`searchapi/yahoo-search-scraper`) Actor

Scrapes Yahoo Search for any query. Extracts the full canonical search-vertical schema: title, URL, snippet, sitelinks, related links, dates, thumbnail, language, ad/sponsored flags, and more.

- **URL**: https://apify.com/searchapi/yahoo-search-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 2 total users, 0 monthly users, 83.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 yahoo search 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

## Yahoo Search Scraper

Scrapes Yahoo Search for a query and returns ranked web results with titles, links, snippets, domains, rich-result fields, and search context when available.

### What this Actor collects

The Actor creates one dataset item per Yahoo web result, preserving ranking and page information for visibility analysis.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 30-field dataset schema.
- Optional rich-result and presentation fields are populated only when Yahoo exposes them.

### Use cases

- Search and competitor research
- Ranking and visibility monitoring
- Dataset and workflow 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 to look up on Yahoo Search. |
| `maxItems` | integer | No | `50` | Maximum number of search results to scrape. |
| `country` | string | No | `"lang_en"` | Yahoo country code for localized results (e.g. 'us', 'gb', 'in', 'de'). Sets the vl parameter. |
| `language` | string | No | `"en"` | Yahoo search language code. Used in the hl parameter (e.g. 'en', 'de', 'fr'). |
| `safeSearch` | string | No | `"moderate"` | Safety filter: `strict`, `moderate`, or `off`. |
| `timeRange` | string | No | `""` | Time filter: `d`, `w`, or `m`; empty means no time filter. |
| `proxyConfiguration` | object | No | — | Proxy settings. Residential proxies are recommended for reliable results. |

#### Example input

```json
{
  "query": "machine learning",
  "maxItems": 50,
  "country": "us",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "safeSearch": "moderate"
}
```

### Output

The default dataset contains one item per search result. Rich-result fields such as ratings, prices, dates, sitelinks, and thumbnails appear only when Yahoo supplies them.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `title` | string | Title |
| `link` | string | URL |
| `displayedUrl` | string | Displayed URL |
| `domain` | string | Domain |
| `snippet` | string | Snippet |
| `publishedAt` | string | Published At |
| `rating` | number | Rating |
| `ratingCount` | integer | Rating Count |
| `price` | string | Price (raw) |
| `priceNumeric` | number | Price (numeric) |
| `currency` | string | Currency |
| `richResultType` | string | Rich Result Type |
| `page` | integer | Page |
| `searchQuery` | string | Query |
| `country` | string | Country |

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

`position`, `title`, `link`, `displayedUrl`, `domain`, `favicon`, `snippet`, `snippetHtml`, `emphasis`, `sitelinks`
`breadcrumbs`, `thumbnail`, `rating`, `ratingCount`, `price`, `priceNumeric`, `currency`, `date`, `publishedAt`, `richResultType`
`additionalInfo`, `cacheLink`, `searchUrl`, `searchMetadata`, `searchQuery`, `country`, `language`, `page`, `type`, `scrapedAt`

</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": "Machine Learning Tutorial - GeeksforGeeks",
  "link": "https://www.geeksforgeeks.org/machine-learning/machine-learning/",
  "domain": "geeksforgeeks.org",
  "snippet": "Jun 5, 2026 · Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches systems to think and understand like humans by learning from the data.",
  "page": 1,
  "searchQuery": "machine learning",
  "type": "organic",
  "favicon": "https://s.yimg.com/pv/static/search_favicon/images/32x32_7eae5aac8b7f7402.png",
  "language": "en",
  "searchUrl": "https://search.yahoo.com/search?p=machine+learning&b=1&vl=us&hl=en",
  "searchMetadata": {
    "engine": "yahoo",
    "market": "en",
    "language": "en",
    "page": 1,
    "resultType": "organic",
    "query": "machine learning",
    "scrapedAt": "2026-07-23T12:32:57.836Z"
  }
}
```

### Related Actors

- [Yahoo Finance Earnings Calendar Scraper](https://apify.com/searchapi/yahoo-finance-earnings-scraper)
- [Yahoo Finance Options Chain Scraper](https://apify.com/searchapi/yahoo-finance-options-scraper)
- [Yahoo Finance Stocks Scraper](https://apify.com/searchapi/yahoo-finance-stocks-scraper)

# Actor input Schema

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

The search query to look up on Yahoo Search.

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

Maximum number of search results to scrape.

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

Yahoo country code for localized results (e.g. 'us', 'gb', 'in', 'de'). Sets the vl parameter.

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

Yahoo search language code. Used in the hl parameter (e.g. 'en', 'de', 'fr').

## `safeSearch` (type: `string`):

Safe search level for filtering adult content.

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

Filter results by time period.

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

Proxy settings for the scraper. Residential proxies recommended for reliable results.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 50,
  "country": "lang_en",
  "language": "en",
  "safeSearch": "moderate",
  "timeRange": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Canonical dataset schema for yahoo-search-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": 50,
    "country": "lang_en",
    "language": "en",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/yahoo-search-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": 50,
    "country": "lang_en",
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/yahoo-search-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": 50,
  "country": "lang_en",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call searchapi/yahoo-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dvYltE7ozCOTcUfwv/builds/kAqzKdnRMLirO2Dt8/openapi.json