Financial Times Articles Scraper

Financial Times Articles Scraper

Scrape Financial Times articles, up to a million per run. Collect the latest articles with headline, URL, and publication date. Export to CSV, JSON, Excel, or XML.

The Financial Times paywall blocks programmatic access to headlines and metadata at scale. This actor reads the publicly visible article list directly, collecting each article's title, link, and timestamp in one pass. No API key or login needed.

Who uses it	What they scrape Financial Times for
Market researchers	Track which topics the Financial Times is prioritizing each day.
PR professionals	Monitor coverage of a client or competitor across the FT.
Data analysts	Build a time-series dataset of FT article metadata for trend analysis.

What it does

This Actor collects the latest Financial Times articles and returns each one as a flat row with its headline, URL, and publication date.

• 📰 Latest articles: Collects the most recent articles published on FT.com.
• 🔢 Configurable volume: Set the exact number of articles to scrape, from one to one million per run.
• 📅 Publication dates: Each record includes the article's publication timestamp.
• 📎 Direct URLs: Every result row contains the link back to the original FT article.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Financial Times data

📈 Monitor daily FT coverage.

A market analyst runs the actor each morning to list the top 50 articles and identify which sectors lead the news cycle.

🔍 Track mentions over time.

A PR manager scrapes 500 articles every weekday and filters for a brand name to measure share of voice in the Financial Times.

📊 Feed a news database.

A data engineer pulls 10,000 FT headlines weekly into a data warehouse to power a financial news recommendation system.

Why choose this scraper

	What you get
No paywall login	Reads the public article listing so no FT subscription is required.
Clean structured output	Each article is one row with headline, URL, and date fixed across every run.
Fast single-page collection	Grabs up to a million article records from the feed in one run.

How it compares

No other Store actor targets Financial Times the same way, so the honest comparison is with the alternatives teams actually weigh.

	Financial Times Articles Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Financial Times changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Set the maximum number of articles to scrape, and the actor returns the most recent matches. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10
}

A larger pull:

{
 "maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Financial Times Articles Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Financial Times through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/ft-com-articles-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

The page might load differently due to a geo-restriction or a temporary change. Try increasing the timeout in the run settings and check that you can access the Financial Times from the actor's proxy location.

The actor stopped before reaching my maxItems target.

The actor collected all available articles visible on the feed. If you need more, schedule repeated runs over time to gather articles as they are published.

I see many partial or blank rows in my dataset.

Occasional blank rows happen if the page structure shifts. Re-run the actor; if the problem persists, report the actor's last run ID to the developer.

Run speed is slower than expected.

When you request a very large number of articles the initial page load may be heavy. Reduce maxItems to the number you need if speed is critical, or let the run complete as it catches all records.

FAQ

Question	Answer
Does this actor bypass the Financial Times paywall?	No. It only collects the article headline, URL, and publication date from the publicly visible article list. Full body text is not behind a login and not collected.
Can I get the full article body?	This actor returns only headline, link, and timestamp. The full text is behind the FT paywall and is not collected.
How many articles can I scrape in one run?	You can set the maximum from 1 up to 1,000,000 articles. The actor stops early if there are fewer new articles available.
What format does the output come in?	You can export the dataset as CSV, JSON, Excel, or XML from the Apify run console.
Does it include article authors?	Author names are not part of the standard output fields.
Is the data in real time?	The actor fetches the currently available article list, which reflects the latest published articles on FT.com at the time of the run.
Can I scrape articles by topic or section like 'Markets' or 'Opinion'?	This actor targets the main latest-articles feed. Topic filtering is not built into inputs, but you can filter results by URL pattern after export.
Do I need an FT account or API key?	No. The actor reads the public article listing directly and requires no authentication or API key.
Can I schedule this Actor to run daily?	Yes. Use Apify's built-in scheduler to run the actor automatically every day and collect the latest headlines.
What happens if the Financial Times changes its website?	We monitor the target page and update the actor when needed to keep the field mapping consistent.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by The Financial Times Ltd. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.