How to Scrape We Work Remotely: The Ultimate Guide

Learn how to scrape job listings from We Work Remotely. Extract job titles, companies, salaries, and more for market research or your own job aggregator.

Coverage:GlobalUSACanadaEuropeAsiaLatin America
Available Data10 fields
TitlePriceLocationDescriptionImagesSeller InfoContact InfoPosting DateCategoriesAttributes
All Extractable Fields
Job TitleCompany NameJob URLCategoryLocation RequirementsEmployment TypeJob DescriptionApplication LinkSalary RangePosting DateCompany Logo URLCompany WebsiteTag List
Technical Requirements
Static HTML
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
CloudflareIP BlockingRate Limiting

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.

About We Work Remotely

Learn what We Work Remotely offers and what valuable data can be extracted from it.

The Hub for Global Remote Talent

We Work Remotely (WWR) is the most established remote work community globally, boasting over 6 million monthly visitors. It serves as a primary destination for companies moving away from traditional office-based models, offering a diverse array of listings in software development, design, marketing, and customer support.

High-Quality Structured Data

The platform is known for its highly structured data. Each listing typically contains specific regional requirements, salary ranges, and detailed company profiles. This structure makes it an ideal target for web scraping, as the data is consistent and easy to categorize for secondary use cases.

Strategic Value for Data Professionals

For recruiters and market researchers, WWR is a goldmine. Scraping this site allows for real-time tracking of hiring trends, salary benchmarking across different technical sectors, and lead generation for B2B services targeting remote-first companies. It provides a transparent view of the global remote labor market.

About We Work Remotely

Why Scrape We Work Remotely?

Discover the business value and use cases for extracting data from We Work Remotely.

Build a niche remote job aggregator or portal

Perform competitive salary analysis across industries

Identify companies hiring aggressively in the remote space

Monitor global demand for specific technical skills

Generate leads for HR technology and benefit providers

Scraping Challenges

Technical challenges you may encounter when scraping We Work Remotely.

Cloudflare anti-bot protection triggers

Handling inconsistencies in location tagging

Parsing varied salary formats within descriptions

Managing IP rate limits during high-volume detail page crawls

Scrape We Work Remotely with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from We Work Remotely. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates We Work Remotely, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

No-code scraping setup via visual interface
Automated handling of anti-bot measures and proxies
Scheduled runs for real-time job board updates
Direct export to JSON, CSV, or Google Sheets
Cloud execution without local resources
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape We Work Remotely without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from We Work Remotely. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates We Work Remotely, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • No-code scraping setup via visual interface
  • Automated handling of anti-bot measures and proxies
  • Scheduled runs for real-time job board updates
  • Direct export to JSON, CSV, or Google Sheets
  • Cloud execution without local resources

No-Code Web Scrapers for We Work Remotely

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape We Work Remotely. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for We Work Remotely

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape We Work Remotely. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

url = 'https://weworkremotely.com/'
headers = {'User-Agent': 'Mozilla/5.0'}

try:
    # Send request with custom headers
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    # Target job listings
    jobs = soup.find_all('li', class_='feature')
    for job in jobs:
        title = job.find('span', class_='title').text.strip()
        company = job.find('span', class_='company').text.strip()
        print(f'Job: {title} | Company: {company}')
except Exception as e:
    print(f'Error: {e}')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape We Work Remotely with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

url = 'https://weworkremotely.com/'
headers = {'User-Agent': 'Mozilla/5.0'}

try:
    # Send request with custom headers
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    # Target job listings
    jobs = soup.find_all('li', class_='feature')
    for job in jobs:
        title = job.find('span', class_='title').text.strip()
        company = job.find('span', class_='company').text.strip()
        print(f'Job: {title} | Company: {company}')
except Exception as e:
    print(f'Error: {e}')
Python + Playwright
import asyncio
from playwright.async_api import async_playwright

async def run():
    async with async_playwright() as p:
        # Launch headless browser
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        await page.goto('https://weworkremotely.com/')
        # Wait for the main container to load
        await page.wait_for_selector('.jobs-container')
        jobs = await page.query_selector_all('li.feature')
        for job in jobs:
            title = await job.query_selector('.title')
            if title:
                print(await title.inner_text())
        await browser.close()

asyncio.run(run())
Python + Scrapy
import scrapy

class WwrSpider(scrapy.Spider):
    name = 'wwr_spider'
    start_urls = ['https://weworkremotely.com/']

    def parse(self, response):
        # Iterate through listing items
        for job in response.css('li.feature'):
            yield {
                'title': job.css('span.title::text').get(),
                'company': job.css('span.company::text').get(),
                'url': response.urljoin(job.css('a::attr(href)').get())
            }
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://weworkremotely.com/');
  // Extract data using evaluate
  const jobs = await page.evaluate(() => {
    return Array.from(document.querySelectorAll('li.feature')).map(li => ({
      title: li.querySelector('.title')?.innerText.trim(),
      company: li.querySelector('.company')?.innerText.trim()
    }));
  });
  console.log(jobs);
  await browser.close();
})();

What You Can Do With We Work Remotely Data

Explore practical applications and insights from We Work Remotely data.

Remote Job Aggregator

Build a specialized job search platform for specific technical niches like Rust or AI.

How to implement:

  1. 1Scrape WWR daily for new listings
  2. 2Filter by specific keywords and categories
  3. 3Store data in a searchable database
  4. 4Automate social media postings for new jobs

Use Automatio to extract data from We Work Remotely and build these applications without writing code.

What You Can Do With We Work Remotely Data

  • Remote Job Aggregator

    Build a specialized job search platform for specific technical niches like Rust or AI.

    1. Scrape WWR daily for new listings
    2. Filter by specific keywords and categories
    3. Store data in a searchable database
    4. Automate social media postings for new jobs
  • Salary Trend Analysis

    Analyze remote salary data to determine global compensation benchmarks across roles.

    1. Extract salary fields from job descriptions
    2. Normalize data into a single currency
    3. Segment by job role and experience level
    4. Generate quarterly market reports
  • Lead Generation for HR Tech

    Identify companies aggressively hiring remote teams to sell HR, payroll, and benefit software.

    1. Monitor the 'Top 100 Remote Companies' list
    2. Track frequency of new job postings
    3. Identify decision-makers at hiring companies
    4. Outreach with tailored B2B solutions
  • Historical Hiring Trends

    Analyze long-term data to understand how remote work demand shifts seasonally or economically.

    1. Archive listings over 12+ months
    2. Calculate growth rates per category
    3. Visualize trends using BI tools
    4. Predict future skill demand
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping We Work Remotely

Expert advice for successfully extracting data from We Work Remotely.

Use the /remote-jobs.rss endpoint for a cleaner, machine-readable XML feed that bypasses complex HTML parsing.

Rotate residential proxies to avoid Cloudflare security walls and permanent IP bans during high-volume crawls.

Implement randomized delays between requests to mimic human browsing behavior and avoid rate limits.

Normalize location data like 'Anywhere' to 'Global' or 'Remote' for more consistent database filtering.

Set your User-Agent to a common browser string to avoid being flagged as a basic script scraper.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About We Work Remotely

Find answers to common questions about We Work Remotely