# We Work Remotely Jobs & Salary Scraper (`scrapers_lat/weworkremotely-jobs-scraper`) Actor
Scrape remote jobs from We Work Remotely by category. Extract job title, company, region, category, job type, salary range, apply URL, company website and full description. Export JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/weworkremotely-jobs-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/5Px4LAmrGKfTxwbj8/input)
## We Work Remotely Jobs & Salary Scraper
> Extract remote jobs from We Work Remotely by category, with company, region, job type, salary range, apply URL and full description
25 fields per record
11 categories coverage
JSON / CSV / Excel output formats
Updated 2026-07-05
### What you get
Pick a category (or scrape every category at once) and get each open remote role on We Work Remotely as a structured record, with the salary range and apply URL pulled from the job page:
- **imageUrl**: the hiring company logo
- **title**: the full listing title
- **company**: the hiring company name
- **role**: the job title without the company prefix
- **url**: the public job page link
- **jobId**: the job slug
- **category**: the We Work Remotely category the role sits in
- **employmentType**: full-time, contract, part-time and similar
- **region**: the advertised work region, for example Anywhere in the World or USA Only
- **state**: the state or province when the listing names one
- **salaryMin\***: the low end of the advertised salary
- **salaryMax\***: the high end of the advertised salary
- **salaryCurrency\***: the salary currency
- **salaryPeriod\***: the salary period, for example year or hour
- **salaryText\***: the salary band as shown on the job page
- **companyWebsite\***: the hiring company website
- **companyAddress\***: the hiring company address when listed
- **applyUrl\***: the direct application link when the employer provides one
- **jobLocationType\***: the work arrangement, for example remote
- **skills**: the skills tag on the listing
- **publishedAt**: when the job was posted
- **expiresAt**: when the posting is set to expire
- **descriptionHtml**: the full job description as HTML
- **descriptionText**: the full job description as clean plain text
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when Fetch salary and apply details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Build a remote job board or aggregator feed | Job board and marketplace builders |
| Track remote hiring and salary benchmarks by category | Talent and labor market analysts |
| Find companies hiring remotely for outreach | Recruiters and staffing agencies |
| Read hiring signals to time sales and prospecting | Sales and revenue teams |
| Collect fresh remote roles for a newsletter or community | Content and community builders |
### Frequently Asked Questions
**Which categories can I scrape on We Work Remotely?**
You can scrape programming (full-stack, back-end, front-end), design, DevOps and sysadmin, customer support, sales and marketing, product, management and finance, and all other remote roles. Leave the category on All jobs to pull every category in one run, or paste a full category URL to target one.
**Does it return the salary for each job?**
Yes, when Fetch salary and apply details is on. Each job page is read for the salary range, currency and period, plus the salary band shown on the listing. Many remote roles do not publish a salary, so those records leave the salary fields empty.
**How many jobs can it return?**
The All jobs feed returns around one hundred of the most recent roles across every category, and each category feed returns its own recent set. Use Max Items to cap the total when you only need a sample.
**Can I filter to specific roles?**
Use the Keyword filter to keep only jobs whose title, company, category, region or description contain your keyword, for example engineer, senior or marketing. Leave it empty to return every job.
**What is the difference between running with and without details?**
Without details the run is fast and returns the listing fields such as title, company, region and description. With details on, the scraper also opens each job page to add the salary range, employment type, company website and apply URL.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Greenhouse Job Board Listings Scraper](https://apify.com/scrapers_lat/greenhouse-jobs-scraper): Every open role from any company hiring on Greenhouse.
- [Indeed Job Listings & Salary Scraper](https://apify.com/scrapers_lat/indeed-jobs-scraper): Job postings with company, location and salary fields.
- [LinkedIn Jobs, Company & Seniority Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Job postings with company, seniority and location.
- [GetOnBrd LATAM Tech Jobs & Salary Scraper](https://apify.com/scrapers_lat/getonbrd-scraper): Latin American tech job listings with salary data.
- [Seek Australia Jobs & Salary Scraper](https://apify.com/scrapers_lat/seek-jobs-scraper): Job listings and salary data from Seek Australia and New Zealand.
- [Jora Jobs & Salary Scraper](https://apify.com/scrapers_lat/jora-jobs-scraper): Job postings and pay ranges across Jora in Australia, NZ and Asia.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with We Work Remotely. It only accesses data that is publicly available on the platform. Use it in accordance with We Work Remotely's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of job listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, each job also includes the salary range, employment type, company website, company address and the apply URL taken from the job page. When disabled, only the listing-level fields are collected and the run is faster.
## `category` (type: `string`):
Which We Work Remotely category to scrape. Leave on All jobs to scrape every category at once.
## `feedUrls` (type: `array`):
Optional. Paste one or more full We Work Remotely category page URLs (for example https://weworkremotely.com/categories/remote-design-jobs). When set, these override the Category selector above.
## `searchQuery` (type: `string`):
Optional keyword to keep only jobs whose title, company, category, region or description contain it (case-insensitive). Leave empty to return every job.
## `proxyConfiguration` (type: `object`):
Optional proxy. The public listings work without a proxy; enable one only if you need a specific region or hit rate limits.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"category": "",
"feedUrls": []
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10,
"feedUrls": [],
"searchQuery": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/weworkremotely-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 10,
"feedUrls": [],
"searchQuery": "",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/weworkremotely-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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,
"feedUrls": [],
"searchQuery": ""
}' |
apify call scrapers_lat/weworkremotely-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/weworkremotely-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "We Work Remotely Jobs & Salary Scraper",
"description": "Scrape remote jobs from We Work Remotely by category. Extract job title, company, region, category, job type, salary range, apply URL, company website and full description. Export JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "yDL9CHghtHd8cDdB7"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~weworkremotely-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-weworkremotely-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~weworkremotely-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-weworkremotely-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~weworkremotely-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-weworkremotely-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of job listings to collect. Optional."
},
"withDetails": {
"title": "Fetch salary and apply details",
"type": "boolean",
"description": "When enabled, each job also includes the salary range, employment type, company website, company address and the apply URL taken from the job page. When disabled, only the listing-level fields are collected and the run is faster.",
"default": true
},
"category": {
"title": "Category",
"enum": [
"",
"remote-full-stack-programming-jobs",
"remote-back-end-programming-jobs",
"remote-front-end-programming-jobs",
"remote-programming-jobs",
"remote-design-jobs",
"remote-devops-sysadmin-jobs",
"remote-customer-support-jobs",
"remote-sales-and-marketing-jobs",
"remote-product-jobs",
"remote-management-and-finance-jobs",
"all-other-remote-jobs"
],
"type": "string",
"description": "Which We Work Remotely category to scrape. Leave on All jobs to scrape every category at once.",
"default": ""
},
"feedUrls": {
"title": "Category URLs",
"type": "array",
"description": "Optional. Paste one or more full We Work Remotely category page URLs (for example https://weworkremotely.com/categories/remote-design-jobs). When set, these override the Category selector above.",
"items": {
"type": "string"
}
},
"searchQuery": {
"title": "Keyword filter",
"type": "string",
"description": "Optional keyword to keep only jobs whose title, company, category, region or description contain it (case-insensitive). Leave empty to return every job."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional proxy. The public listings work without a proxy; enable one only if you need a specific region or hit rate limits."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```