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Reuters Articles Scraper | Global Wire News

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Reuters Articles Scraper | Global Wire News

Reuters Articles Scraper | Global Wire News

Collect Reuters articles with headline, byline, date, section, summary, and full body text. Filter by topic, region, or keyword. Built for media monitoring, market sentiment analysis, NLP training datasets, and competitive intelligence across global wire news.

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ParseForge

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🗞️ Reuters News Articles Scraper

🚀 Export Reuters articles in seconds. Pull the latest headlines, summaries, authors, images, and publish dates straight into CSV, Excel, JSON, or XML.

🕒 Last updated: 2026-05-25 · 📊 10 fields per record · top headlines from the Reuters public feed · public Reuters feed

Reuters is a global wire service with same-hour coverage of business, world news, politics, technology, energy, and breaking events.

This Actor reads the public Reuters feed and turns each story into a clean tabular record. No login, no API key, no rate-limit headaches. Schedule it daily, hourly, or on demand and pipe the output anywhere Apify integrates.

🎯 Target Audience💡 Primary Use Cases
Newsrooms, market data teams, geopolitical analysts, NLP researchersBuild wire-style monitoring dashboards, surface breaking world stories, build research corpora

📋 What the Reuters News Articles Scraper does

  • Pulls the latest articles from the public Reuters feed
  • Returns title, URL, author, image, summary, categories, and publish date
  • Exports clean tabular data to CSV, Excel, JSON, or XML
  • Runs on demand or on a schedule
  • No account, token, or login required

💡 Why it matters: Newsroom monitoring, media datasets, and content workflows need machine-readable headlines. This Actor delivers them in seconds.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

FieldTypeRequiredDescription
maxItemsintegerNoMax records to return. Free plan capped at 10.
{
"maxItems": 10
}
{
"maxItems": 100
}

⚠️ Good to Know: The Reuters public feed exposes top headlines. Full article bodies live on reuters.com.

📊 Output

FieldTypeDescription
🖼 imageUrlstringLead image URL (when published)
📌 titlestringArticle title
🔗 urlstringCanonical article URL
✍️ authorstringByline (when published)
🏷️ categoriesarrayTopic tags (when published)
📅 publishedAtstringISO publish timestamp
📝 summarystringShort summary or dek
📰 sourcestring"Reuters"
🕒 scrapedAtstringRun timestamp
errorstringNull on success

Sample record:

{
"imageUrl": "https://static.reutersnewsarticles.example/lead.jpg",
"title": "Markets close higher as investors weigh policy outlook",
"url": "https://example.com/article/markets-close-higher",
"author": "Staff Reporter",
"categories": ["Business", "Markets"],
"publishedAt": "2026-05-25T13:42:11.000Z",
"summary": "Equity benchmarks edged up on Friday as traders digested fresh economic data.",
"source": "Reuters",
"scrapedAt": "2026-05-25T17:46:02.873Z",
"error": null
}

✨ Why choose this Actor

🔥 ReasonWhy it matters
🆓 No account or tokenRun immediately
📰 Public Reuters feedStable, fast, predictable
🖼 Includes image URLsDrop straight into dashboards or cards
⚡ Tabular outputCSV, Excel, JSON, XML, no parsing
🔁 Schedule any cadenceBuild alerts in minutes

📈 How it compares to alternatives

ApproachSetupCostOutput Quality
Raw RSS parsingDIY plumbingFreeInconsistent
Paid news APIsContract, keyExpensiveExcellent
This ActorNonePay-per-useClean tabular

🚀 How to use

  1. Create a free Apify account with $5 credit
  2. Open the Reuters News Articles Scraper
  3. Set maxItems (and any other inputs)
  4. Click Start
  5. Download CSV, Excel, JSON, or XML when finished

💼 Business use cases

Media monitoring

Track Reuters headlines on your beats. Push deltas into Slack, Notion, or your internal feed.

Investment and trading desks

Surface market-moving headlines into research dashboards and alerting pipelines.

Marketing intelligence

Watch brand, product, and competitor mentions across the news cycle.

Content workflows

Backfill content libraries, social schedulers, and newsletter tools with fresh headlines.

🔌 Automating Reuters News Articles Scraper

Pipe results into Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, or Google Drive via the Apify integration catalog.

🌟 Beyond business use cases

Research

Build longitudinal corpora for media studies, NLP, and trend analysis.

Personal

Keep a personal news digest of just the topics you care about.

Non-profit

Power advocacy dashboards and rights-monitoring projects.

Experimentation

Train and benchmark summarization, classification, and clustering models on fresh headlines.

🤖 Ask an AI assistant about this scraper

Open this Actor's page in ChatGPT, Claude, Perplexity, or Copilot and ask for help wiring it into your workflow.

❓ Frequently Asked Questions

Q: Do I need a Reuters account? A: No. The feed is fully public.

Q: How fresh is the data? A: Mirrors the public Reuters feed, typically same-hour.

Q: Do I get the full article text? A: The record includes title, summary, image, author, and URL. Fetch the URL for the full article.

Q: Can I filter by section or topic? A: This Actor reads the top-stories feed. Section variants are on the roadmap.

Q: How many articles per run? A: Up to maxItems. Free plan capped at 10.

Q: Can I schedule daily? A: Yes. Use Apify Schedules.

Q: Can I export to Excel? A: Yes. Apify exports CSV, Excel, JSON, XML.

Q: Is this affiliated with Reuters? A: No. This is an independent tool.

Q: Will it break if the feed changes? A: We monitor the source and update accordingly.

Q: Does it include images? A: Yes when the feed exposes a lead image.

🔌 Integrate with any app

Apify supports Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, Google Sheets, Google Drive, AWS, Azure, BigQuery, Snowflake, and any webhook-aware tool.

ActorWhat it does
Reuters News ArticlesLatest Reuters headlines
AP News ArticlesAssociated Press by section
BBC News ArticlesBBC News public feed
CNN News ArticlesCNN news by section

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool not affiliated with Reuters. Only publicly available data is collected.