💼 Financial Times Articles Scraper

🚀 Export Financial Times 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 FT public feed · public Financial Times feed

The Financial Times is a global business newspaper, well known for coverage of UK and European markets, world economy, companies, and policy.

This Actor reads the public Financial Times 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
Investment teams, macro analysts, corporate strategy, fintech, business journalists	Surface UK and European market news, monitor regulatory and policy stories, build curated finance digests

📋 What the Financial Times Articles Scraper does

• Pulls the latest articles from the public Financial Times 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

Field	Type	Required	Description
maxItems	integer	No	Max records to return. Free plan capped at 10.

{
    "maxItems": 10
}

{
    "maxItems": 100
}

⚠️ Good to Know: The FT public feed exposes top headlines. Paywalled article bodies remain on ft.com.

📊 Output

Field	Type	Description
🖼 imageUrl	string	Lead image URL (when published)
📌 title	string	Article title
🔗 url	string	Canonical article URL
✍️ author	string	Byline (when published)
🏷️ categories	array	Topic tags (when published)
📅 publishedAt	string	ISO publish timestamp
📝 summary	string	Short summary or dek
📰 source	string	"Financial Times"
🕒 scrapedAt	string	Run timestamp
❌ error	string	Null on success

Sample record:

{
    "imageUrl": "https://static.financialtimesarticles.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": "Financial Times",
    "scrapedAt": "2026-05-25T17:46:02.873Z",
    "error": null
}

✨ Why choose this Actor

🔥 Reason	Why it matters
🆓 No account or token	Run immediately
📰 Public Financial Times feed	Stable, fast, predictable
🖼 Includes image URLs	Drop straight into dashboards or cards
⚡ Tabular output	CSV, Excel, JSON, XML, no parsing
🔁 Schedule any cadence	Build alerts in minutes

📈 How it compares to alternatives

Approach	Setup	Cost	Output Quality
Raw RSS parsing	DIY plumbing	Free	Inconsistent
Paid news APIs	Contract, key	Expensive	Excellent
This Actor	None	Pay-per-use	Clean tabular

🚀 How to use

1. Create a free Apify account with $5 credit
2. Open the Financial Times 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 Financial Times 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 Financial Times 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 Financial Times account? A: No. The feed is fully public.

Q: How fresh is the data? A: Mirrors the public Financial Times 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-specific feeds 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 Financial Times? 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.

🔗 Recommended Actors

Actor	What it does
Reuters News Articles	Latest Reuters headlines
AP News Articles	Associated Press by section
BBC News Articles	BBC News public feed
CNN News Articles	CNN 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 Financial Times. Only publicly available data is collected.