📈 Benzinga News Scraper

🚀 Export Benzinga financial news in seconds. Pull earnings reports, analyst calls, trading ideas, and market-moving headlines with tickers and tags attached. No API key, no registration, no manual copy-paste.

🕒 Last updated: 2026-05-28 · 📊 16 fields per record · 40+ news sections covered · Tickers + tags extracted · Full article bodies

Benzinga covers the retail-trader corner of financial markets that Reuters and Bloomberg often skip: actionable stock ideas, after-hours movers, analyst ratings, insider trades, and the noisy edge cases that move premarket prices. This scraper turns those articles into clean, structured records so you can pipe them into trading dashboards, sentiment models, or research workflows without ever opening a browser.

Articles come back with every field you actually need: headline, publish timestamp, author, category, full body text, mentioned tickers, and topic tags. You can scrape an entire section like Large Cap News or Earnings, run a targeted Benzinga site search for a stock or theme, or pass in a list of direct article URLs. Output is dataset-ready JSON, CSV, Excel, or XML, refreshed on every run from the live Benzinga site.

🎯 Target Audience	💡 Primary Use Cases
Day traders and swing traders	Premarket and after-hours news monitoring
Quant and algorithmic trading developers	Headline-driven sentiment signals for backtests
Retail investors and finance creators	Earnings season coverage and analyst takes
Financial advisors and research analysts	Building watchlists from breaking ticker news

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📋 What the Benzinga Scraper does

• 📰 Section coverage. Pull headlines from 40+ Benzinga sections including Large Cap, Small Cap, Earnings, Insider Trades, Analyst Ratings, IPOs, Cannabis, Crypto, and Trading Ideas.
• 🔍 Site search. Pass a query like "Tesla earnings" or "Nvidia AI" and grab the live Benzinga search results.
• 🎯 Direct URLs. Provide article URLs you already have and parse them on demand.
• 🏷️ Ticker extraction. Every record carries the stocks mentioned in the article, pulled from both structured data and inline links.
• 📝 Full bodies. Each article ships with the complete text, not just a teaser or summary.
• ⏱️ Real-time refresh. Every run hits the live Benzinga site, so timestamps reflect the moment of scrape.

Each record bundles the cover image, headline, canonical URL, numeric article ID, category, author and author profile link, description, full article body, tickers array, tags array, publish and update timestamps, free-access flag, and a scrape timestamp.

💡 Why it matters: Benzinga moves retail trading flow. Catching a headline minutes after it lands, with the ticker already extracted, is the difference between trading the move and reading about it on Twitter.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to wire the actor into a Slack alert, a Google Sheet, and a sentiment dashboard.

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⚙️ Input

Field	Type	Required	Description
startUrls	array	No	Direct Benzinga article URLs to scrape. When set, the actor ignores category and search.
category	string (enum)	No	One of 40+ Benzinga sections (Large Cap News, Earnings, Insider Trades, Analyst Ratings, etc.). Default is Large Cap News.
searchQuery	string	No	Free-text Benzinga site-search term. Overrides category when set.
maxItems	integer	No	Cap on how many articles to return. Free plan is limited to 10. Paid plans allow up to 1,000,000.

Example: scrape the latest 25 earnings articles.

{
  "category": "/news/earnings",
  "maxItems": 25
}

Example: search Benzinga for Nvidia coverage and pull 50 articles.

{
  "searchQuery": "Nvidia AI",
  "maxItems": 50
}

⚠️ Good to Know: Benzinga category pages do not paginate beyond their initial 20-30 article load. To go deeper, combine multiple categories across separate runs, or use the search mode for targeted coverage.

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📊 Output

Every article record carries the same 16 fields. Output is available as JSON, CSV, Excel, XML, or HTML directly from the run.

🧾 Schema

Field	Type	Example
🖼 imageUrl	string	https://cdn.benzinga.com/cdn-cgi/image/width=1200,height=800,fit=crop/files/images/story/2026/05/28/Marvell.jpeg
📌 title	string	Marvell CEO Says Data Center Business Is 'On Fire' - Marvell Technology (NASDAQ:MRVL)
🔗 url	string	https://www.benzinga.com/trading-ideas/movers/26/05/52833213/marvell-ceo-says-data-center-business-is-on-fire
🆔 id	string	52833213
🗂 category	string	Earnings
✍️ author	string	Lekha Gupta
👤 authorUrl	string	https://www.benzinga.com/author/lekha-gupta
📝 description	string	Marvell (MRVL) beats Q1 estimates & forecasts massive AI infrastructure growth.
💹 tickers	array	["MRVL"]
🏷 tags	array	["why it's moving"]
🗓 publishedAt	string (ISO)	2026-05-28T07:10:24.000-04:00
🔁 updatedAt	string (ISO)	2026-05-28T07:10:25.000-04:00
🔓 isAccessibleForFree	boolean	true
📄 articleBody	string	Marvell Technology Inc. (NASDAQ:MRVL) stock traded lower in premarket trading Thursday...
🕒 scrapedAt	string (ISO)	2026-05-28T11:19:43.983Z
❌ error	string or null	null

📦 Sample records

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✨ Why choose this Actor

	Capability
📰	40+ sections covered. Earnings, analyst ratings, insider trades, IPOs, cannabis, crypto, trading ideas, and more, all selectable from a dropdown.
💹	Tickers auto-extracted. Every article ships with the symbols mentioned, pulled from both structured data and inline quote links.
🏷️	Topic tags included. Articles come tagged with themes like AI, semiconductors, biotech, regulation, and earnings movers.
📄	Full article body. Not a snippet, not a paywalled teaser. The whole story, ready for sentiment models.
🔍	Search mode. Hit Benzinga's site search directly with a free-text query for ticker-specific or theme-specific coverage.
⚡	Tier 1 fetch. No browser overhead, no proxy cost. Each article fetched in under 500ms on average.
🔧	Clean ISO timestamps. Publish and update times in ISO 8601, ready for time-series databases and date filters.

📊 In a recent test run, 5 articles were scraped from the Large Cap News section in 1.5 seconds, with 100% field completeness across imageUrl, title, tickers, tags, and body.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Benzinga News Scraper (this Actor)	Pay per article	40+ sections, search, direct URLs	Live on every run	Section, search query, URL list	1 minute
Official news syndication contracts	$$$$	Full firehose	Live	Enterprise filters	Weeks of legal
Paid live news APIs	$$$	Broad financial coverage	Live	API parameters	Hours, API key required
RSS feed aggregators	Free	Headlines only, no body	15-30 min lag	Limited	Minutes
Manual browser checking	Free	Whatever you can click	Manual	None	None, but doesn't scale

For traders and quants who need structured Benzinga records without a corporate contract, the actor sits in the sweet spot between free RSS skim and enterprise firehose.

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🚀 How to use

1. ✍️ Sign up for Apify in 30 seconds at console.apify.com. Free plan included.
2. 🔍 Open the Benzinga News Scraper in the Apify Store and click Try for free.
3. ⚙️ Pick a section or enter a search. Default is Large Cap News with maxItems set to 10.
4. ▶️ Click Start and watch the run log stream articles in real time.
5. 💾 Export results as JSON, CSV, Excel, or XML, or pipe them through one of the 50+ Apify integrations.

⏱️ Total time from sign-up to first dataset: under 3 minutes.

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💼 Business use cases

📊 Day traders and swing traders Premarket headline scan before the open After-hours news monitoring for overnight gappers Ticker-specific watch on earnings days Section-level scan of Insider Trades and Movers	🤖 Quant and algo developers Build sentiment signals from Benzinga headlines Backtest news-driven strategies on historical pulls Train NLP models on retail-trading article bodies Feed live tickers into an alerting pipeline
📰 Finance creators and researchers Source breaking-story coverage for newsletters Cite analyst calls in research notes Track narrative themes across an earnings season Compare retail vs institutional coverage of the same event	💼 Advisors and PMs Watch for client-portfolio names in the news Compile sector-specific briefings for clients Track regulatory and political news that moves holdings Monitor SPAC, IPO, and offering activity

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Benzinga News Scraper

Trigger the actor from anywhere with code, no-code tools, or a cron schedule:

• Node.js SDK for embedding the scraper inside a Node service.
• Python client for calling the actor from Jupyter, FastAPI, or a quant research notebook.
• Apify API docs for raw HTTP triggers from any language.

For continuous coverage, use Apify Schedules to run the actor every 5 minutes during market hours and pipe the dataset into your storage or alerting layer.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

Pipe the dataset into your existing stack with a few clicks:

• Make - Trigger downstream automations when a new article lands.
• Zapier - Wire the actor into 5,000+ apps with no code.
• Slack - Post a Slack alert when a ticker on your watchlist appears in a headline.
• Airbyte - Sync the dataset into Snowflake, BigQuery, Redshift, or Postgres.
• GitHub - Commit the latest dataset to a repo on every run.
• Google Drive - Drop the export into a shared folder for the team.

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🔗 Recommended Actors

• 📊 Yahoo Finance Scraper - OHLCV candles, 52-week ranges, and crypto prices for the tickers Benzinga mentions.
• 📜 SEC Form 4 Scraper - Cross-reference Benzinga's Insider Trades section with the underlying SEC filings.
• 💡 TradingView Ideas Scraper - Pair Benzinga news flow with crowdsourced chart setups for the same tickers.
• 💰 NerdWallet Scraper - Round out finance coverage with consumer-side product research and rate roundups.
• 🗳 FEC Campaign Finance Scraper - Tie political and government Benzinga stories to federal campaign contribution data.

💡 Pro Tip: browse the complete ParseForge collection for more finance, government, and market scrapers.

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🆘 Need Help? Open our contact form and a maintainer will get back to you within one business day.

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⚠️ Disclaimer: This actor is an independent tool, not affiliated with or endorsed by Benzinga. It collects only publicly available data from the live Benzinga website. Users are responsible for following the source's terms of service and any applicable laws.