Stock News Scraper - Finviz
Pricing
from $1.00 / 1,000 results
Stock News Scraper - Finviz
Get real-time stock and company news for any ticker symbol. Returns headlines, sources, publication dates, and full article text as clean markdown. Powered by Finviz data. Supports multiple tickers per run. Built for AI agents, LLM pipelines, sentiment analysis, and automated market monitoring.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
Michal Búci
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Get real-time stock and company news for any ticker symbol with full article text as clean markdown. Powered by Finviz data. Built for AI agents, sentiment analysis, and market research.
What is Finviz Ticker News Scraper?
This actor extracts recent stock news from Finviz for any publicly traded ticker. It returns article headlines, source domains, timestamps, and optionally the full article text converted to clean markdown.
Finviz aggregates news from Reuters, Yahoo Finance, CNBC, MarketWatch, Benzinga, and dozens more. This actor gives you structured, API-accessible data from all of them in a single run. No browser needed, no API key required.
Why scrape stock news from Finviz?
Finviz is one of the most popular financial research platforms, but it has no public API for news data. This actor solves that by delivering structured JSON with full article text, ready for AI pipelines, trading systems, or market research.
How to scrape stock news by ticker
- Go to the Finviz Ticker News actor page
- Enter one or more ticker symbols (e.g.
TSLA, NVDA, AAPL) - Set how many articles and how far back you want
- Click Start
- Download results as JSON, CSV, or Excel, or access via the Apify API
Input
| Parameter | Type | Default | Description |
|---|---|---|---|
tickers | string | (required) | Comma-separated ticker symbols, e.g. AAPL, TSLA, MSFT |
maxArticles | integer | 50 | Max articles per ticker. 0 = no limit |
daysBack | integer | 7 | Articles from the last N days. 0 = all available |
scrapeFullText | boolean | true | Extract full article text as markdown. false = metadata only (faster) |
{"tickers": "TSLA, NVDA","maxArticles": 30,"daysBack": 7,"scrapeFullText": true}
Output
{"ticker": "TSLA","title": "Tesla Surges on Record Deliveries","url": "https://www.reuters.com/business/autos/tesla-record-deliveries-2025","source": "reuters.com","publishedAt": "2025-02-05T14:30:00Z","fullTextAvailable": true,"text": "# Tesla Surges on Record Deliveries\n\nTesla reported record quarterly deliveries of...","wordCount": 847}
| Field | Type | Description |
|---|---|---|
ticker | string | Stock ticker symbol |
title | string | Article headline |
url | string | Original article URL |
source | string | Source domain (e.g. reuters.com) |
publishedAt | string | ISO 8601 UTC timestamp |
fullTextAvailable | boolean | Whether full text was extracted |
text | string/null | Article text as markdown, null if paywalled |
wordCount | integer/null | Word count of extracted text |
Use cases for stock news data
| Use Case | Description | Best For |
|---|---|---|
| Sentiment analysis | Process full article text to extract market signals and sentiment scores | Quant traders, analysts |
| AI agent research | Feed real-time company news into AI agents via Apify MCP | ChatGPT, Claude, custom agents |
| LLM context | Inject recent news into prompts for summarization or Q&A | RAG pipelines, chatbots |
| Market monitoring | Track news flow across a portfolio on a daily schedule | Portfolio managers |
| Trading signals | Detect breaking news from article frequency and sources | Algorithmic trading |
| Newsletter automation | Aggregate daily stock news into automated reports | Financial content creators |
| Research datasets | Build historical news datasets for backtesting or ML training | Data scientists |
How to scrape stock news with Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("michael_b/finviz-ticker-news").call(run_input={"tickers": "TSLA, NVDA, AAPL","maxArticles": 20,"scrapeFullText": True,})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(f"[{item['ticker']}] {item['source']} - {item['title']}")
How to scrape stock news with JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('michael_b/finviz-ticker-news').call({tickers: 'TSLA, NVDA, AAPL',maxArticles: 20,scrapeFullText: true,});const { items } = await client.dataset(run.defaultDatasetId).listItems();items.forEach(item => console.log(`[${item.ticker}] ${item.source} - ${item.title}`));
How much does it cost to scrape stock news?
This actor uses raw HTTP requests with no browser, keeping costs minimal. Recommended memory: 512 MB. Pricing: $0.001 per article plus a minimal actor start fee. Full text extraction doesn't cost extra.
| Scenario | Articles | Time | Cost |
|---|---|---|---|
| 1 ticker, metadata only | 100 | ~5s | ~$0.10 |
| 1 ticker, full text | 100 | ~30s | ~$0.10 |
| 5 tickers, full text | 500 | ~2 min | ~$0.50 |
| 10 tickers, full text | 1,000 | ~3 min | ~$1.00 |
Automate with Apify platform
- Schedule runs daily, hourly, or at market open/close
- Access results via API for integration into trading systems
- Connect to Make, n8n, or Zapier for no-code workflows
- Use with AI agents through Apify's MCP server (Claude, ChatGPT, custom agents)
- Export as JSON, CSV, Excel, or stream to your database
FAQ
Is it legal to scrape news from Finviz? This actor only extracts publicly available headlines and visits original article URLs for publicly available content. No private data is accessed or authentication bypassed.
How often is the data updated? Live data from Finviz on every run. Schedule as frequently as you need.
Which news sources does Finviz aggregate? Reuters, Yahoo Finance, CNBC, MarketWatch, Benzinga, Investor's Business Daily, The Motley Fool, and many more.
Can I use this with ChatGPT, Claude, or other AI agents? Yes. Fully compatible with Apify's MCP server. The markdown output is designed for LLM consumption.
What happens with paywalled articles (WSJ, Bloomberg, FT)?
Headline and metadata are still returned, but text will be null. You get the title, source, URL, and date regardless.
How many articles are available per ticker?
Finviz stores up to 100 recent articles per ticker. Use daysBack: 0 to get all available.
Can I scrape multiple tickers at once?
Yes. Enter comma-separated tickers like AAPL, TSLA, MSFT, NVDA and the actor processes all of them in a single run.
Support
Questions, feature requests, or bugs? Open an issue in the Issues tab. Feedback is always welcome.