FutureLearn Courses Scraper

FutureLearn Courses Scraper

Scrape FutureLearn course listings by keyword or the full catalog, up to a million per run. Each course comes with its title, provider, URL, and category. No login or API key. Export to CSV, JSON, Excel, or XML.

FutureLearn's catalog spans thousands of courses from universities and industry partners, but browsing it manually or through an API takes time you could spend on analysis. This Actor reads the public course directory directly, searching by keyword or pulling the newest courses first, and returns a clean dataset. It is built for researchers, marketers, and learning platforms who need structured course intelligence without writing a single scraper.

Who uses it	What they scrape FutureLearn for
EdTech market analysts	Track which universities and topics are launching new online courses this quarter.
Content strategists	Identify trending course titles and descriptions to inform curriculum development.
Competitive intelligence teams	Monitor competitor course portfolios, pricing models, and category expansion.
Academic researchers	Build a corpus of course metadata for studies on online education supply and demand.

What it does

This Actor collects FutureLearn course listings by search term or from the full catalog and returns each course as a flat row.

• 🔍 Keyword search: Filter courses by a search term like 'python', 'machine learning', or 'history'.
• 📚 Full catalog mode: Leave the search term blank to scrape the entire FutureLearn catalog, newest courses first.
• ⚙️ Configurable volume: Set a maximum number of courses from 1 up to 1,000,000 per run to control dataset size.

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

What you can do with FutureLearn data

📈 Monitor course launches by topic.

An EdTech analyst runs the Actor weekly with a keyword like 'data science' to track new courses, spot emerging providers, and report on market shifts.

🎓 Build a university partnership lead list.

A business development team scrapes the full catalog, filters by provider, and identifies universities that are actively expanding their online portfolio.

📊 Analyze course title and description trends.

A content strategist collects thousands of course titles and descriptions to understand which phrases and learning outcomes resonate in the online education market.

🏛️ Map the competitive landscape.

A product manager at an online learning platform scrapes FutureLearn by category to compare course depth, pricing, and instructor credentials against their own catalog.

Why choose this scraper

	What you get
No API key needed	Access public course data without registering an application or managing OAuth tokens.
Structured output	Every course arrives as a flat row with a fixed schema, ready for analysis in any tool.
Scalable collection	Collect up to a million courses per run, enough to map entire subject areas or the full catalog.

How it compares

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

	FutureLearn Courses Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When FutureLearn 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

Drive the Actor with an optional search term and a maximum course count, and filtering runs as each course is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "query": "python",
  "maxItems": 10
}

A larger pull:

{
  "query": "python",
  "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 FutureLearn Courses 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 FutureLearn 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/futurelearn-courses-scraper"

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

Troubleshooting

Why am I getting no results for my search term?

Check the spelling of your keyword. FutureLearn's search may return zero results for very specific or misspelled terms. Try a broader keyword or leave the search term blank to verify the catalog is accessible.

The Actor stopped before reaching my maximum course count.

This happens when the search term or catalog has fewer courses than your maximum. The Actor collects all available matches and stops. Try a broader keyword or leave the search term blank to pull more courses.

Why are some courses missing fields in the output?

FutureLearn's directory may not populate every field for every course. Missing data appears as empty values in your dataset. This is expected behavior reflecting the source data.

The Actor is running slowly on a large catalog scrape.

Scraping the full catalog with a high maximum course count is network-intensive. The Actor respects FutureLearn's servers by pacing requests. For large jobs, consider running during off-peak hours or splitting by keyword.

I get an error or timeout during the run.

Network issues or temporary server unavailability can cause timeouts. Apify automatically retries failed requests. If the problem persists, try reducing the maximum course count or running the Actor again later.

FAQ

Question	Answer
Do I need a FutureLearn account or API key to scrape courses?	No. This Actor reads the publicly accessible course directory, so no login, account, or API key is required.
What data does the Actor return for each course?	Each row includes the course title, provider name, course URL, and category. The exact fields are shown in the sample output on the Actor's page.
Can I scrape the entire FutureLearn catalog?	Yes. Leave the search term blank and set a high maximum course count to pull the full catalog, starting with the newest courses.
How do I search for courses on a specific topic?	Enter a keyword like 'python', 'psychology', or 'sustainability' in the search term field. The Actor will return only courses matching that query.
Is there a limit to how many courses I can scrape?	You can set the maximum courses field up to 1,000,000 per run. The actual number collected depends on how many courses match your search term or exist in the catalog.
What export formats are supported?	You can export your dataset in CSV, JSON, Excel, or XML format from the Apify platform.
Can I schedule this Actor to run automatically?	Yes. Apify supports scheduled runs, so you can set this Actor to scrape FutureLearn daily, weekly, or on any custom interval.
Does the Actor handle pagination automatically?	Yes. The Actor navigates through all available pages of results until it reaches your specified maximum course count or the end of the catalog.
Can I filter courses by provider or category directly?	The input currently supports keyword search and maximum course count. Provider and category information is returned in the output, so you can filter the dataset after collection.
Is this Actor suitable for scraping course descriptions and syllabi?	This Actor collects course listing metadata such as title, provider, URL, and category. For full course descriptions or syllabi, you would need to follow the course URLs with another scraper.

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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 FutureLearn 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.