📰 MarketWatch Scraper

🚀 Export MarketWatch financial news articles in seconds. Get title, author, publish date, section, image, and article URL without writing a single line of code.

🕒 Last updated: 2026-05-22 · 📊 9 fields per record · Real-time · Global financial news

The MarketWatch Scraper pulls live financial news articles directly from MarketWatch's official RSS feeds - the same public data feeds used by news aggregators and financial platforms worldwide. No login required, no paywall, no browser automation. Just clean, structured financial news data ready for CSV, Excel, JSON, or XML export.

MarketWatch (marketwatch.com) is one of the most widely read financial news sources in the world, covering stocks, markets, economy, investing strategy, and personal finance. This scraper gives you programmatic access to their latest headlines with full metadata.

Coverage: 5 news sections - Top Stories, Markets (MarketPulse), Investing (Breaking News), Economy, and Personal Finance. Up to 1,000,000 articles per run. 9 fields per record including image thumbnails, author attribution, and ISO timestamps.

Who uses this	Why
Financial analysts	Monitor market-moving headlines in real time
Traders	Track news sentiment for stocks and sectors
Journalists	Research financial news coverage patterns
Researchers	Build datasets of financial news for NLP/ML
Developers	Power news feeds and financial dashboards
Investors	Stay informed across multiple market sections

📋 What the MarketWatch Scraper does

• Connects to MarketWatch's official RSS feeds for each news section
• Extracts article title, summary, author, and publish timestamp
• Captures article thumbnail image URLs from media metadata
• Maps each article to its source section (Top Stories, Markets, etc.)
• Applies your maxItems limit so you get exactly the data you need
• Delivers results instantly - no waiting for pages to load or JavaScript to render

💡 Why it matters: Financial markets move on news. Having structured, timestamped access to MarketWatch headlines means you can track what moved markets, build sentiment models, monitor news flow by sector, or simply stay on top of the financial day - all without manual browsing.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Parameter	Type	Description	Default
section	string	News section: latest, markets, investing, economy, technology	latest
maxItems	integer	Max articles to return (free: 10, paid: up to 1,000,000)	10

Example 1 - Latest top stories (default):

{
  "section": "latest",
  "maxItems": 10
}

Example 2 - Markets section with 25 articles:

{
  "section": "markets",
  "maxItems": 25
}

⚠️ Good to Know: The section field maps to official MarketWatch RSS feeds. latest and economy both pull from the main Top Stories feed. investing pulls from the Breaking News Bulletins feed. technology pulls from the Personal Finance feed (the closest available feed). Free users are limited to 10 articles per run.

📊 Output

Field	Type	Description
🖼 imageUrl	string	Article thumbnail image URL
📰 title	string	Article headline
🔗 articleUrl	string	Direct URL to the article
👤 author	string	Author name (null if not credited)
📂 section	string	Section label (e.g. "Top Stories", "Markets")
📅 publishedAt	string	ISO 8601 publish timestamp
📝 summary	string	Article description/summary
📈 tickers	array	Stock tickers mentioned (extracted from URL params)
🕒 scrapedAt	string	ISO 8601 scrape timestamp
❌ error	string	Error message if scraping failed (null on success)

Sample output records (real data from 2026-05-22 run):

[
  {
    "imageUrl": "https://images.mktw.net/im-68780690",
    "title": "As bullish bets surge here's the option play to protect portfolios from a likely pullback, says Goldman Sachs",
    "articleUrl": "https://www.marketwatch.com/story/as-bullish-bets-surge-heres-the-option-play-to-protect-portfolios-from-a-likely-pullback-says-goldman-sachs-e0f1017a?mod=mw_rss_topstories",
    "author": "Jamie Chisholm",
    "section": "Top Stories",
    "publishedAt": "2026-05-22T10:53:00.000Z",
    "summary": "Materials, tech and energy sectors offer an attractive hedging opportunity",
    "tickers": [],
    "scrapedAt": "2026-05-22T10:55:04.838Z",
    "error": null
  },
  {
    "imageUrl": "https://images.mktw.net/im-15324430",
    "title": "'It will not bring you happiness': I have advice for your single, childless 62-year-old multimillionaire reader",
    "articleUrl": "https://www.marketwatch.com/story/it-will-not-bring-you-happiness-i-have-advice-for-your-single-childless-62-year-old-multimillionaire-reader-1cb6a09f?mod=mw_rss_topstories",
    "author": "Quentin Fottrell",
    "section": "Top Stories",
    "publishedAt": "2026-05-22T10:52:00.000Z",
    "summary": "\"Go to Walmart and pay off someone's layaway account.\"",
    "tickers": [],
    "scrapedAt": "2026-05-22T10:55:04.839Z",
    "error": null
  },
  {
    "imageUrl": "https://images.mktw.net/im-76366035",
    "title": "'We have longevity in the family': My sister is turning 67. Should she wait until 70 to claim Social Security?",
    "articleUrl": "https://www.marketwatch.com/story/we-have-longevity-in-the-family-my-sister-is-turning-67-should-she-wait-until-70-to-claim-social-security-812087a4?mod=mw_rss_topstories",
    "author": "Quentin Fottrell",
    "section": "Top Stories",
    "publishedAt": "2026-05-22T09:15:00.000Z",
    "summary": "\"Others say she should start at full retirement age.\"",
    "tickers": [],
    "scrapedAt": "2026-05-22T10:55:04.840Z",
    "error": null
  }
]

✨ Why choose this Actor

Feature	Benefit
🔗 Official RSS feeds	Data straight from Dow Jones/MarketWatch - no scraping fragility
⚡ Sub-second latency	Results in under 5 seconds for most runs
🖼 Image URLs included	Thumbnail images for every article that has one
📅 ISO timestamps	Machine-readable publish dates, ready for time-series analysis
🌐 No login required	Fully public data, no account needed
📦 5 sections covered	Top Stories, Markets, Investing, Economy, Personal Finance
💾 Multiple export formats	CSV, Excel, JSON, XML - all supported
🔌 Webhook + API ready	Integrate with any workflow tool

📈 How it compares to alternatives

Feature	This Actor	Manual browsing	Custom script
Setup time	30 seconds	N/A	Hours
Structured output	JSON/CSV/Excel/XML	None	Custom
Image URLs	Yes	Copy manually	Complex
ISO timestamps	Yes	None	Parse manually
Scales to 1M items	Yes	No	Maybe
Maintenance required	No	No	Yes

🚀 How to use

1. Create a free account w/ $5 credit on Apify
2. Open the MarketWatch Scraper page
3. Choose your News Section (latest, markets, investing, economy, or technology)
4. Set Max Items - start with 10 for a free preview, up to 1,000,000 on paid plans
5. Click Start and wait a few seconds
6. Download your dataset as CSV, Excel, JSON, or XML

💼 Business use cases

Financial Research and Analysis

Track news volume and sentiment for specific market events. Use timestamped headlines to correlate news flow with price movements. Build a historical record of what was published and when on major financial topics.

Competitive Intelligence

Monitor how MarketWatch covers companies, sectors, and market events. Identify which topics get coverage and when, helping you understand what institutional investors and analysts are reading.

Content and Media Operations

Newsrooms and financial media companies can use this Actor to monitor competitor coverage, track trending financial topics, and identify content gaps. Automate daily briefings by routing MarketWatch headlines to Slack or email via Make or Zapier.

Data Science and NLP

Build training datasets for financial NLP models. Use article titles and summaries to train sentiment classifiers, topic models, or entity extractors. The clean, structured output means no preprocessing of raw HTML.

🔌 Automating MarketWatch Scraper

Connect to your existing workflows using Apify's built-in integrations:

• Make (formerly Integromat) - Schedule daily runs and push results to Google Sheets, Airtable, or any database
• Zapier - Trigger runs on a schedule and route new articles to Slack, email, or CRM systems
• Slack - Get morning financial news briefings delivered to a Slack channel automatically
• Google Sheets - Append new articles to a spreadsheet for ongoing monitoring
• REST API - Call the Apify API directly from any application or data pipeline

🌟 Beyond business use cases

Academic Research

Researchers studying financial media, market microstructure, or news-driven asset pricing can use this Actor to build reproducible, timestamped datasets of MarketWatch coverage.

Personal Finance Tracking

Individual investors can automate monitoring of specific topics - retirement planning, housing market, or interest rate news - and get structured alerts when relevant articles appear.

Journalism and Fact-Checking

Journalists can track how MarketWatch has covered a company, policy, or market event over time. The timestamp data makes it easy to establish what was known and when.

Learning and Experimentation

Developers and data scientists can use this Actor to experiment with financial NLP, build demo dashboards, or learn about RSS-based data pipelines without any infrastructure setup.

🤖 Ask an AI assistant about this scraper

Have questions about how to use this Actor, how to integrate it with your workflow, or what you can build with MarketWatch data? Open an AI assistant (Claude, ChatGPT, or similar) and paste this prompt:

"I'm using the parseforge/marketwatch-scraper Apify Actor to collect financial news articles from MarketWatch. It returns fields: imageUrl, title, articleUrl, author, section, publishedAt, summary, tickers, scrapedAt. Help me [describe what you want to do]."

❓ Frequently Asked Questions

❓ Is this scraper free to use? Free Apify accounts can scrape up to 10 articles per run as a preview. Paid plans unlock up to 1,000,000 articles per run.

❓ How often is the data updated? MarketWatch RSS feeds update in real time. Every time you run the Actor, you get the latest articles available in the feed at that moment.

❓ Which news sections are available? Five sections: latest (Top Stories), markets (MarketPulse), investing (Breaking News), economy (Top Stories feed), and technology (Personal Finance feed). The section value maps to the closest available official RSS feed.

❓ Why are tickers sometimes empty? MarketWatch RSS feeds do not embed ticker symbols in article URLs or as structured elements for most articles. The tickers field will be populated if ticker data is present in the URL query parameters, but is an empty array otherwise.

❓ Do I need a MarketWatch account? No. The Actor uses MarketWatch's official public RSS feeds which require no authentication.

❓ Can I run this on a schedule? Yes. Use Apify's built-in scheduler to run the Actor daily, hourly, or on any cron schedule. Results accumulate in your dataset automatically.

❓ What format can I export the data in? CSV, Excel (XLSX), JSON, XML, and HTML table - all available from the Apify dataset view after a run.

❓ Is the imageUrl always populated? Most top stories articles include a thumbnail image. Some MarketPulse (markets) articles may not have images as that feed contains more brief news items.

❓ How many articles does each feed contain? Typically 10-30 articles per feed. RSS feeds reflect the most recent articles in each section. For historical data, schedule regular runs and accumulate results over time.

❓ Can I use this data commercially? The scraped data is subject to MarketWatch and Dow Jones terms of service. Always review the terms for your intended use case. The Actor itself is free to use under Apify's terms.

❓ What happens if the RSS feed is unavailable? The Actor pushes an error record with a descriptive message and exits cleanly. No partial or corrupted data is returned.

❓ Can I scrape multiple sections at once? Currently the Actor processes one section per run. To collect from multiple sections, run the Actor once per section or use Apify's multi-run orchestration features.

🔌 Integrate with any app

Connect your MarketWatch dataset to the tools you already use:

Spreadsheets - Google Sheets, Excel Online, Airtable Databases - PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake Automation - Make, Zapier, n8n, Pipedream Business Intelligence - Tableau, Power BI, Looker, Metabase Developer Tools - REST API, Python SDK, JavaScript SDK, CLI Storage - AWS S3, Google Cloud Storage, Azure Blob Storage Communication - Slack, Teams, Email via webhook

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💡 Pro Tip: browse the complete ParseForge collection for 145+ specialized data scrapers covering finance, jobs, real estate, travel, and more.

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Disclaimer: This Actor is an independent tool not affiliated with, endorsed by, or sponsored by MarketWatch or Dow Jones & Company, Inc. It accesses only publicly available RSS feed data. Use of this Actor is subject to Apify's Terms of Service. Users are responsible for ensuring their use of the data complies with applicable laws and MarketWatch's terms of service.