4 Day Week Jobs Scraper

4 Day Week Jobs Scraper

Scrape 4 day week job listings and companies from 4dayweek.io, up to a million per run. Every job comes with its title, company, location, and tags. Export to CSV, JSON, Excel, or XML.

4dayweek.io is the leading job board for four-day-week roles, but browsing it manually means missing new listings and wasting hours copying data. This scraper reads the public job and company feeds directly, so you get every listing in one fixed schema without any API key or login.

Who uses it	What they scrape 4 Day Week for
Job seekers	Find four-day-week roles that match their skills and location
Recruiters	Build a pipeline of companies that already offer a four-day week
Market researchers	Track which industries and regions are adopting four-day work weeks
HR consultants	Benchmark client policies against companies that offer reduced hours

What it does

This Actor collects job listings or company profiles from 4dayweek.io and returns each one as a flat row.

• 💼 Jobs dataset: scrape all job listings with title, company, location, and tags.
• 🏢 Companies dataset: scrape company profiles with name, website, and description.
• 🔢 Max items control: set a hard limit from 1 to 1,000,000 listings per run.
• 📤 Multiple export formats: download as CSV, JSON, Excel, or XML.

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

What you can do with 4 Day Week data

🔍 Find your next four-day-week job.

A job seeker runs the scraper on the jobs dataset, filters the CSV for remote roles, and applies to every match in one afternoon.

📊 Track four-day-week adoption by industry.

A market researcher collects all company profiles monthly, tags each by sector, and reports which industries are moving fastest to reduced hours.

🤝 Build a prospect list for HR services.

An HR consultant scrapes the companies dataset, filters for companies with open roles, and reaches out with a tailored pitch about four-day-week policy design.

📈 Monitor new listings for a niche skill.

A recruiter runs the scraper daily on the jobs dataset, filters for a specific tag like 'Python', and gets a fresh list of candidates to source from.

Why choose this scraper

	What you get
No API key	Reads the public 4dayweek.io feeds directly, no registration or OAuth
Fixed schema	Every job or company row has the same fields, so you can merge runs
Scalable	Collect up to a million listings in a single run
Export ready	Download as CSV, JSON, Excel, or XML for analysis or upload

How it compares

No other Store actor targets 4 Day Week the same way, so the honest comparison is with the alternatives teams actually weigh.

	4 Day Week Jobs Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When 4 Day Week 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

Choose the jobs or companies dataset and set the maximum number of listings to collect per run. 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 4 Day Week 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 4 Day Week 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/4dayweek-jobs-scraper"

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

Troubleshooting

Why am I getting no results?

Make sure you selected the correct dataset (jobs or companies) and that maxItems is set to at least 1. If the site currently has no listings, the run will return an empty dataset.

Why did the run stop before reaching maxItems?

The scraper stops when it has collected all available listings on the site. If there are fewer listings than your maxItems value, you will get all of them.

Why are some fields empty in my results?

Some listings on 4dayweek.io may not have every field filled in, such as location or tags. Empty fields are normal and reflect missing data on the source page.

Can I get more fields than title, company, location, and tags?

The scraper returns only the fields available in the public feed. If you need additional data, you may need to scrape individual job pages with a different tool.

Why does the run take a long time?

The scraper respects the site's rate limits to avoid being blocked. If you set a very high maxItems, the run may take longer. You can reduce maxItems or run more frequently with smaller batches.

FAQ

Question	Answer
Do I need an API key or login for 4dayweek.io?	No. This scraper reads the public job and company feeds directly, so you can run it without any registration or authentication.
What is the difference between the jobs and companies datasets?	The jobs dataset returns individual job listings with title, company, location, and tags. The companies dataset returns company profiles with name, website, and description.
How many listings can I scrape in one run?	You can set maxItems from 1 to 1,000,000. The scraper will stop after collecting that many listings.
What export formats are supported?	You can download your results as CSV, JSON, Excel, or XML directly from the Apify dataset.
Does this scraper include job descriptions?	The scraper returns the fields available on the public listing pages, which include title, company, location, and tags. Full job descriptions are not included in the feed.
Can I filter by location or job type?	The scraper does not have built-in filters beyond choosing the dataset and maxItems. You can filter the exported CSV or JSON yourself after the run.
How often should I run this scraper?	4dayweek.io updates its listings regularly. For job seekers, running daily is recommended. For market research, weekly or monthly runs are usually enough.
Is this scraper legal?	This scraper only reads publicly available data from 4dayweek.io. You should review the site's terms of service and respect their robots.txt before using the data commercially.
Can I schedule this scraper to run automatically?	Yes, you can set up a schedule in Apify to run this actor at any interval, such as every hour or every day.
What if I get no results?	Check that you selected the correct dataset and that maxItems is at least 1. If the site has no listings at the moment, the run will return an empty dataset.

Related actors

• indeed-scraper: Use this if you need job listings from Indeed, which has a much larger volume but no four-day-week filter.
• linkedin-jobs-scraper: Use this if you want to search LinkedIn for four-day-week roles by keyword, though you will need to filter manually.

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 4 Day Week 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.