# We Work Remotely Scraper - Remote Job Listings (`jp_data_tools/weworkremotely-scraper`) Actor

Scrape remote job listings from WeWorkRemotely.com. Extract job titles, companies, descriptions, salaries, and application links across multiple categories.

- **URL**: https://apify.com/jp_data_tools/weworkremotely-scraper.md
- **Developed by:** [Aoyuki Kurita](https://apify.com/jp_data_tools) (community)
- **Categories:** Lead generation, Jobs
- **Features:** Limited permissions
- **Stats:** 22 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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). Extract job titles, companies, descriptions, salaries, and application links across multiple categories. Perfect for HR analytics, job aggregation, and recruitment automation.

### Features

- Scrape jobs from one or more categories (programming, design, marketing, and more)
- Extract job title, company name, company logo, tags, and posted date from listing pages
- Optionally fetch full job descriptions, location requirements, apply URLs, and salary info from detail pages
- Configurable max results per category
- Respects server load with 3-second delays between requests

### Available Categories

| Category | URL Slug |
|---|---|
| Programming | `programming` |
| Design | `design` |
| Marketing | `marketing` |
| Sales | `sales` |
| Customer Support | `customer-support` |
| Finance / Legal | `finance` |
| Product | `product` |
| All Jobs | `all` |

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `categories` | array of strings | `["programming"]` | Categories to scrape |
| `maxResults` | integer | `50` | Max job listings per category |
| `includeDescription` | boolean | `true` | Fetch full description from detail pages |

#### Example Input

```json
{
  "categories": ["programming", "design"],
  "maxResults": 20,
  "includeDescription": true
}
```

### Output

Each job listing is saved as one record in the Apify Dataset.

#### Output Fields

| Field | Description |
|---|---|
| `title` | Job title |
| `company` | Company name |
| `company_logo_url` | URL of the company logo image |
| `listing_url` | Full URL of the job detail page |
| `category` | Category name as provided in input |
| `tags` | Array of tags (e.g. region restrictions) |
| `posted_date` | ISO date string of when the job was posted |
| `description` | Plain text job description (if `includeDescription: true`) |
| `location` | Location/region requirement (if `includeDescription: true`) |
| `apply_url` | Direct application URL (if `includeDescription: true`) |
| `salary` | Salary info if listed (if `includeDescription: true`) |

#### Sample Output Record

```json
{
  "title": "Senior Backend Engineer",
  "company": "Acme Corp",
  "company_logo_url": "https://weworkremotely.com/logo/acme-corp.png",
  "listing_url": "https://weworkremotely.com/remote-jobs/acme-corp-senior-backend-engineer",
  "category": "programming",
  "tags": ["Worldwide"],
  "posted_date": "2026-03-29",
  "description": "We are looking for a Senior Backend Engineer to join our team...",
  "location": "Worldwide",
  "apply_url": "https://acmecorp.com/careers/apply/123",
  "salary": "$120,000 - $160,000 USD"
}
```

### Usage Notes

- Setting `includeDescription: true` will significantly increase run time, as it fetches each job's detail page individually with a 3-second delay between requests.
- Use `includeDescription: false` for fast bulk collection of job metadata only.
- The `all` category fetches from the general job listing page, which may include duplicates across other categories.

### Technical Stack

- **Python 3.10**
- **Apify SDK v3** — Actor runtime, logging, dataset I/O
- **httpx** — Async HTTP client
- **BeautifulSoup4 + lxml** — HTML parsing

### Disclaimer

This actor scrapes publicly available job listings from WeWorkRemotely.com. Please use responsibly and respect the site's servers. Do not set extremely high `maxResults` values or run this actor too frequently, as it may place unnecessary load on WeWorkRemotely's infrastructure.

# Actor input Schema

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

List of job categories to scrape. Use 'all' to scrape all categories.

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

Maximum number of job listings to fetch per category.

## `includeDescription` (type: `boolean`):

If true, fetches the full job description, location, apply URL, and salary from each detail page. This increases run time significantly.

## Actor input object example

```json
{
  "categories": [
    "programming"
  ],
  "maxResults": 50,
  "includeDescription": true
}
```

# 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 = {
    "categories": [
        "programming"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jp_data_tools/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 = { "categories": ["programming"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jp_data_tools/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/avZRY27BMQGdifzNJ/builds/hTRLvIzlUcM6R1FjM/openapi.json