# Yahoo Finance News Scraper — Stock Tickers & Signals (`axery/yahoo-finance-news-tickers`) Actor

Scrape real-time financial news, market headlines, stock ticker symbols ($AAPL, $NVDA, $TSLA), publisher info, and sentiment indicators from Yahoo Finance.

- **URL**: https://apify.com/axery/yahoo-finance-news-tickers.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Categories:** Business, AI
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 yahoo finance news records

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Yahoo Finance News Scraper — Breaking Market News with Stock Tickers

Scrape real-time financial news, market headlines, and earnings coverage directly from **Yahoo Finance**. Extract article titles, publisher sources, live publication timestamps, direct URLs, and automatically tagged stock ticker symbols (`$AAPL`, `$NVDA`, `$TSLA`, etc.) with basic sentiment indicators.

Built specifically for algorithmic trading models, hedge fund sentiment pipelines, LLM financial summarizers, and market alert bots.

***

### ⚡ Features

- **Ticker-Targeted News**: Pass any stock, ETF, or crypto tickers (e.g. `AAPL`, `NVDA`, `BTC-USD`) to fetch dedicated news streams.
- **Market Categorization**: Query by key sectors: Stock Market & Earnings, Economy & Interest Rates, Crypto, Technology & AI, or General Wall Street.
- **Keyword Search**: Run targeted queries for specific events (e.g. `"Federal Reserve rate decision"`, `"semiconductors"`).
- **Stock Ticker Tags**: Every article returns clean array of associated equity tickers.
- **Sentiment Hints**: Automated tagging (`BULLISH`, `BEARISH`, `NEUTRAL`) for instant market signals.
- **Zero Heavy Browsers**: Pure HTTP-based engine for ultra-fast, lightweight, low-memory execution.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `tickers` | Array of strings | `["AAPL", "NVDA", "TSLA", "MSFT"]` | List of stock or crypto ticker symbols to monitor |
| `queries` | Array of strings | `[]` | Specific keyword search queries |
| `category` | String | `"stocks"` | Sector category: `stocks`, `economy`, `crypto`, `tech`, `general` |
| `maxItems` | Integer | `50` | Maximum number of news items to scrape |
| `proxyConfiguration` | Object | `null` | Optional Apify proxy settings |

***

### 📤 Sample Output Record

```json
{
  "id": "85eda056-69f4-367b-90f2-87c1581b8590",
  "title": "Apple Hits New High as Big Tech Momentum Continues",
  "publisher": "Bloomberg",
  "url": "https://finance.yahoo.com/markets/stocks/articles/apple-hits-new-high-164746088.html",
  "published_at": "2026-10-15T16:47:46+00:00",
  "published_epoch": 1792082866,
  "tickers": ["AAPL", "NVDA", "MSFT"],
  "primary_ticker": "AAPL",
  "sentiment_hint": "BULLISH",
  "thumbnail_url": "https://media.zenfs.com/en/bloomberg/apple_photo.jpg",
  "scraped_at": "2026-10-15T17:15:00+00:00"
}
```

***

### 💡 Typical Use Cases

- **Algorithmic & Quant Trading**: Feed real-time news into NLP sentiment models to trade earnings momentum or break-outs.
- **LLM Context Injection & Financial RAG**: Feed the latest daily market coverage into AI analyst assistants.
- **Portfolio Monitoring & Alerts**: Trigger instant alerts when breaking news mentions any stock in a watchlist.

# Actor input Schema

## `tickers` (type: `array`):

Stock, ETF, or crypto ticker symbols to fetch dedicated news for (e.g. AAPL, NVDA, TSLA, MSFT, BTC-USD).

## `queries` (type: `array`):

Custom search keywords or phrases to fetch news for (e.g. 'Federal Reserve', 'semiconductors').

## `category` (type: `string`):

Market sector category fallback if no tickers or queries are provided.

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

Maximum number of news articles to extract.

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

Optional proxy settings. Apify proxy is recommended for high-volume automated scheduled runs.

## Actor input object example

```json
{
  "tickers": [
    "AAPL",
    "NVDA",
    "TSLA",
    "MSFT"
  ],
  "category": "stocks",
  "maxItems": 50
}
```

# Actor output Schema

## `data` (type: `string`):

Financial news articles with publisher, stock ticker symbols, and sentiment.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/yahoo-finance-news-tickers").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("axery/yahoo-finance-news-tickers").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call axery/yahoo-finance-news-tickers --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/yahoo-finance-news-tickers"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/88ByBr7Qc5NETfKQO/builds/MtqdBXK7ygU2jCi5I/openapi.json