# 4 Day Week Jobs Scraper (`parseforge/4dayweek-jobs-scraper`) Actor

Scrapes job listings and company profiles from 4dayweek.io. Returns each job or company as a flat row with title, company, location, and tags. Export to CSV, JSON, Excel, or XML.

- **URL**: https://apify.com/parseforge/4dayweek-jobs-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)](https://apify.com/parseforge?fpr=vmoqkp)

### 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:

```json
{
  "maxItems": 10
}
```

A larger pull:

```json
{
  "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](https://console.apify.com/sign-up?fpr=vmoqkp) to collect up to 1,000,000 results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [4 Day Week Jobs Scraper](https://apify.com/parseforge/4dayweek-jobs-scraper?fpr=vmoqkp).
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](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) 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:

```bash
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](https://apify.com/parseforge/indeed-scraper?fpr=vmoqkp): Use this if you need job listings from Indeed, which has a much larger volume but no four-day-week filter.
- [linkedin-jobs-scraper](https://apify.com/parseforge/linkedin-jobs-scraper?fpr=vmoqkp): 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](https://apify.com/parseforge?fpr=vmoqkp) 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.

# Actor input Schema

## `maxItems` (type: `integer`):

How many job listings to collect per run.

## `dataset` (type: `string`):

Which dataset to export from 4dayweek.io.

## Actor input object example

```json
{
  "maxItems": 10,
  "dataset": "jobs"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/4dayweek-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/4dayweek-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10
}' |
apify call parseforge/4dayweek-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/4dayweek-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/r6pMfV3sm6vQ0hvKx/builds/HH25Oiu2TQCFtNgtp/openapi.json