Reed.co.uk Jobs Scraper

Reed.co.uk Jobs Scraper

Scrape Reed.co.uk job listings by keyword, location, or direct URL, up to a million per run. Every job comes with its title, company, salary, location, description, and apply link. No login or API key. Export to CSV, JSON, Excel, or XML.

Reed.co.uk is one of the UK's largest job boards, but browsing it manually means clicking through pages and copying details one by one. This Actor reads the public job search pages directly, applies your filters as it goes, and returns each match in one flat row. You get the same data you would see on the site, structured and ready for analysis.

Who uses it	What they scrape Reed.co.uk for
Recruitment agencies	Monitor new job postings for their niche and spot hiring trends
Job board operators	Aggregate Reed.co.uk listings into their own platform
Market researchers	Analyze salary ranges and demand by sector and region
Job seekers	Build a personal list of matching jobs with one click
HR analytics teams	Track competitor hiring activity and skill requirements

What it does

This Actor collects Reed.co.uk job postings by keyword, location, or direct search URL, and returns each one as a flat row with title, company, salary, location, description, and apply link.

• 🔍 Keyword and location search: Enter a job title and a UK town, city, or postcode to get matching listings.
• 🔗 Direct URL input: Paste any Reed.co.uk search URL to scrape exactly those results.
• 📊 Rich job data: Each row includes title, company, location, salary, description, and apply link.
• ⚙️ Advanced filters: Narrow by salary range, contract type, work hours, remote option, date posted, sector, and more.
• 📁 Flexible export: Download as CSV, JSON, Excel, or XML from the Apify dataset.

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

What you can do with Reed.co.uk data

📈 Track hiring trends.

A market researcher runs the Actor weekly for 'data scientist' in London and compares salary ranges and posting volumes over time.

🏢 Build a job board.

A startup aggregates Reed.co.uk listings for IT roles across the UK and displays them on their own site with apply links.

🎯 Find your next job.

A job seeker enters their target title and location, filters for fully remote and permanent roles, and exports a CSV to track applications.

📊 Analyze competitor hiring.

An HR team scrapes jobs from a competitor's sector to see which skills and salary bands they are hiring for.

🔔 Monitor new postings.

A recruiter schedules the Actor daily for 'nurse' in Manchester and gets an alert when new jobs appear.

Why choose this scraper

	What you get
No API key needed	Scrape public Reed.co.uk pages without registration or rate limits
Up to 1 million jobs	Collect large datasets in a single run
Fixed schema	Every job returns the same fields, ready for analysis
Built-in filters	Salary, contract, remote, sector, and more applied before export
Export anywhere	CSV, JSON, Excel, or XML for your pipeline

How it compares

This Actor focuses on Reed.co.uk only, with deep filters and a fixed schema, while the competitors either cover multiple boards or offer a simpler Reed scraper.

Feature	ParseForge	Reed Job Scraper	Jobs Board Scraper: Indeed, Reed, Adzuna, RemoteOK & More	Reed Jobs Scraper
Keyword and location search	Yes	Yes	Yes	Yes
Direct URL input	Yes	Not listed	Not listed	Not listed
Salary range filter	Yes	Not listed	Not listed	Not listed
Contract type filter	Yes	Not listed	Not listed	Not listed
Remote working filter	Yes	Not listed	Not listed	Not listed
Sector filter	Yes	Not listed	Not listed	Not listed
Sort by salary or date	Yes	Not listed	Not listed	Not listed

Configure the run

Drive the Actor from keywords, locations, and direct Reed.co.uk search URLs, alone or together, and filters run as each job is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "startUrls": [],
 "keywords": "data scientist",
 "maxItems": 10,
 "proximity": 10
}

A larger pull:

{
 "startUrls": [],
 "keywords": "data scientist",
 "maxItems": 200,
 "proximity": 10
}

Pricing

Pay-per-result: $0.01499 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$1.50
1,000 results	$14.99
10,000 results	$149.90

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 Reed.co.uk Jobs 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 Reed.co.uk 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/reed-co-uk-scraper"

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

Troubleshooting

Why am I getting no results?

Check your keyword and location. Try a broader keyword or leave location blank. Also check your filters: salary range, contract type, or sector may be too restrictive.

Why are some jobs missing?

Reed.co.uk may paginate results. Increase maxItems to collect more. Also, some jobs may be excluded by your filters or may have expired since the search.

Why is the run slow?

Large maxItems or many filters can slow the run. Try reducing maxItems or narrowing your search. The Actor respects Reed.co.uk's rate limits to avoid blocking.

Why do I get an error when using a direct URL?

Make sure the URL is a valid Reed.co.uk search URL, like https://www.reed.co.uk/jobs/data-scientist-jobs-in-london. If it is a job detail page, it will not work.

Can I scrape jobs from multiple locations at once?

Yes, but only by providing multiple startUrls. The location field accepts a single location per run.

FAQ

Question	Answer
Do I need a Reed.co.uk API key?	No. This Actor scrapes the public job search pages directly, so no registration or API key is required.
Can I scrape a specific Reed.co.uk search URL?	Yes. Paste any Reed.co.uk search URL into the startUrls field and the Actor will scrape exactly those results, ignoring other inputs.
What data does each job row include?	Each row includes the job title, company, location, salary, description, and apply link, plus other fields shown in the sample output.
How many jobs can I scrape in one run?	You can set maxItems up to 1,000,000. The Actor will stop after collecting that many jobs.
Can I filter by salary?	Yes. Use salaryFrom and salaryTo to set a minimum and maximum annual salary in pounds.
Can I filter by contract type?	Yes. Choose Permanent, Contract, or Temporary in the contractTypes field.
Can I filter by remote working?	Yes. Set remoteWorkingOption to Hybrid or Fully Remote to only get those jobs.
Can I filter by job sector?	Yes. The sectors field lets you select one or more sectors like IT & Telecoms, Health & Medicine, or Marketing & PR.
Can I sort the results?	Yes. Use sortBy to order by relevance, most recent, highest salary, lowest salary, or distance.
What export formats are supported?	You can download the dataset as CSV, JSON, Excel, or XML from the Apify platform.
Is this legal?	You should only scrape public data in accordance with Reed.co.uk's terms of service and applicable laws. Apify provides the tool, but you are responsible for how you use it.
Can I run this on a schedule?	Yes. Use Apify's scheduler to run the Actor daily, weekly, or at any interval, and get notified when new jobs are found.

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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 Reed Online 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.