# We Work Remotely Scraper - Remote Jobs (`lulzasaur/weworkremotely-scraper`) Actor

Scrape remote job listings from WeWorkRemotely.com. Get job titles, companies, categories, regions, and descriptions across 10 job categories.

- **URL**: https://apify.com/lulzasaur/weworkremotely-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** Other
- **Features:** Limited permissions
- **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## We Work Remotely Scraper - Remote Job Listings

Scrape remote job listings from [WeWorkRemotely.com](https://weworkremotely.com), one of the largest remote job boards with thousands of positions across programming, design, marketing, and more.

### Features

- **10 job categories**: Programming, Full-Stack, Front-End, Back-End, DevOps, Design, Product, Sales & Marketing, Customer Support, Management & Finance
- **Rich data**: Job title, company, region, headquarters, company URL, logo, and publication date
- **Fast & reliable**: Uses RSS feeds for instant structured data — no HTML parsing needed
- **Category filtering**: Scrape specific categories or all at once

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `categories` | array | (all) | Job categories to scrape. Leave empty for all 10 categories |
| `maxResults` | integer | 0 | Max job listings to return (0 = all) |

### Output Example

```json
{
    "title": "Senior Full Stack Developer",
    "company": "TechCorp",
    "category": "Full-Stack Programming",
    "region": "Anywhere in the World",
    "headquarters": "San Francisco, CA",
    "companyUrl": "https://techcorp.com",
    "logoUrl": "https://wwr-pro.s3.amazonaws.com/logos/...",
    "publishedAt": "2026-04-10T15:30:00.000Z",
    "url": "https://weworkremotely.com/remote-jobs/techcorp-senior-full-stack-developer"
}
```

### Use Cases

- **Job seekers**: Aggregate remote opportunities across all categories
- **Recruiters**: Monitor competitor job postings and hiring trends
- **HR analytics**: Track remote job market trends by category and region
- **Career coaches**: Build databases of remote opportunities for clients
- **Market researchers**: Analyze remote work demand across industries

# Actor input Schema

## `categories` (type: `array`):

Which job categories to scrape. Select one or more, or leave empty for all categories.

## `maxResults` (type: `integer`):

Maximum number of job listings to return. Set 0 for all.

## `proxyConfiguration` (type: `object`):

Proxy settings (usually not needed)

## Actor input object example

```json
{
  "categories": [],
  "maxResults": 0,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/weworkremotely-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/weworkremotely-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 '{}' |
apify call lulzasaur/weworkremotely-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/weworkremotely-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/78h0qcCkMfStNDDSf/builds/6DBo7mf2UghXMOvgB/openapi.json