Brief

BrowserAct Job Scraping Tool is a powerful no-code job data extraction tool that automatically retrieves job titles, job descriptions, salaries, and company information from the We Work Remotely remote work platform. With its automated job scraping capabilities, this tool eliminates the tedious process of manually collecting information from countless pages, allowing users to quickly gain insights into the latest remote job trends.

Whether you’re a recruiter, HR professional, data analyst, job seeker, or market researcher, BrowserAct empowers you to uncover remote work opportunities, conduct job market analysis, and stay ahead in the global employment market.

Workflow Purpose

Business Objectives：

Automatically extract job information from the We Work Remotely platform to eliminate the need for time-intensive manual job searches, thereby improving efficiency and streamlining the job data collection process.

Secondary Benefits:

Simplify Recruitment Processes

The job scraping tool automates the filtering and collection of job postings, significantly reducing human effort and time while enhancing recruitment efficiency.

Real-time Job Tracking

By connecting to We Work Remotely, the tool updates job postings in real time. This ensures that job seekers and recruiters can access the latest opportunities promptly, avoiding missed chances.

Identify Employment Trends

Supports bulk data collection, enabling users to analyze and compare job data to uncover employment trends.

Enhance Competitiveness and Precision Matching

With AI-powered data analysis, the job scraping tool allows users to customize filters based on keywords, locations, salary ranges, and more.

Target Users

Primary User Groups

Recruiters: Ideal for gathering industry-specific talent requirements and salary benchmarks to optimize recruitment strategies.
HR Professionals: Perfect for collecting job data to support industry research and workforce planning.
Data Analysts: Enables bulk data extraction to monitor trends and gather competitive intelligence.
Job Seekers: Quickly find jobs that match specific criteria without repetitive searches.
Labor Market Researchers: Leverage bulk data collection to analyze employment trends and market dynamics.

Technical Requirements:

No coding experience required—basic understanding of process workflows and fundamental web browsing skills are enough to get started easily.

Use Cases:

Daily job searches

Employment market research reports

Job salary analysis reports

Recruitment strategy planning

We Work Remotely Job Scraping Tool: Inputs, Outputs, and Features

Input Parameters

Parameter	Required	Description	Example
target-url	Yes	The target website URL for scraping.	["https://weworkremotely.com/"]
Data_Limit	no	The number of job postings to scrape in one run.	100
Keywords	Yes	Search keywords to define job types	"Customer Service"

These parameters allow for reusable configurations and quick adjustments, enabling your We Work Remotely Job Scraping Tool to adapt seamlessly to different tasks.

Output Data

Core Data Fields

Job Title: The title of the job posting., e.g., "Customer Service."
Job Description – A detailed description of the job, including responsibilities and requirements.
Company Name:The name of the company posting the job. e.g.,"Google"
Company Location:The location of the company
Salary: The salary range offered for the job. e.g., "80000--120000" .
Salary Unit: Normalized to one of "Hourly", "Monthly", or "Yearly" based on the posting.
Job Type： The type of job (e.g., full-time, part-time, contract).
Location: The location of the job (city, country, or remote).
Education : academic requirements, such as high school or above
Posting Date: When the job was listed, formatted as 'YYYY-MM-DD'; missing data as "N/A."
Experience: The required experience level for the job.

Export Formats:

CSV,JSON,XML,Markdown (MD)

Scope and Limitations of We Work Remotely Job Scraping

Supported Websites/Platforms: Specifically designed for the We Work Remotely platform.
Data Types: Structured job data, including job titles, descriptions, employer names, salaries, and requirements.
Geographical Restrictions: No specific restrictions, but browser IP can be configured to match the target region.
Data Volume: Optimized for medium to large datasets (50–500 records per execution).

Workflow Construction Details

Parameters and Browser Configuration

1.Core Parameter Settings

Define the fields that will be used as variables for customization. Key parameters include:

Target_Url：The platform URL to scrape, specifying the job search page.
Search_Keywords: The job types or roles to scrape, such as "Customer Service".
Data_Limit：The maximum number of job postings to collect per execution (up to 100)

Use default values for quick runs, such as setting Data_Limit to "10" for testing without manual changes.

2.Browser Configuration

Automatically optimize browser settings for the We Work Remotely platform to enable seamless scraping, including configurations like User-Agent customization.

Workflow Process

1.Parameter Setup

Input Parameters:
├── Target_URL: "https://weworkremotely.com/"
├── Search_Keywords: "Customer Service"
├── Data_Limit: 10

2.Browser Initialization

Start: Launch the browser with settings optimized for the We Work Remotely platform.
User-Agent Configuration: Set an appropriate User-Agent string to ensure smooth platform access.

3.Search and Navigation

Visit Page: Navigate to the We Work Remotely website.
Input Text: Enter job keywords into the search bar.
Execute Search: Initiates the search query to retrieve relevant job postings.

4.Data Collection Loop

Loop Control: Continuously execute the following steps until reaching the data_limit or the maximum number of iterations.

Steps:

Extract Metadata:

Collect job posting details visible on the current page, marking missing data as "N/A":

Job Title:

Job Description:

Company Name:

Company Location:

Job Type：

Salary/Payroll:

Salary Unit:

Experience:

Education:

Employees live in：

Working Hours:

Missing data will be marked as “N/A”

Scroll Page:

Scroll down one screen to load additional postings in the visible area.

Click Element:

Select the "Load More" button to fetch more job listings and append them to the current dataset.

Loop Termination Criteria

Stop the loop when either:
- The Data_Limit is reached.
- The maximum set number of iterations is completed.

5. Data Export

Data Validation: Verify completeness and accuracy
Format Export: Generate CSV, JSON, XML,Markdown (MD)
Quality Report: Provide summary statistics

Quick Start Guide

5-Minute Setup Experience

1.Register Account:

Create a free BrowserAct account using your email.

2.Select Template:

Find " We Work Remotely Job Scraper" in the template library，Click to Use.

3.Configure Parameters

Target_URL: "https://weworkremotely.com/"
Search_Keywords:Customer Service
Data_Limit: 10

4.Start Workflow：

Click the "Start" button to launch the scraping process.

5.Download Results:

Export data in CSV, JSON, XML,Markdown (MD)

Usage Examples

// Collecting Part-Time Remote Customer Service Jobs (Non-Telephone)

Requirements:

Suitable for Kenyan job seekers.

Requires some customer service experience.

Minimum education: High School Diploma (KCSE) or equivalent.

Excludes telephone-based customer service roles.

Collection range Settings:

To filter and collect only relevant job postings, the following criteria are applied during workflow construction:

Job titles must include, such as：chat support, email support, ticket support, and other customer service related positions；
Exclude roles explicitly mentioning telephone customer service.
Must be part-time positions.
Company Location:Priority is given to companies based in the United States.
Employee's residence：No location restrictions or explicitly mention inclusion of Kenya as a valid residence.
Education Requirements : Can be unlimited or must include "high school diploma" or equivalent.
Job Description/Qualifications: Include "customer service experience" or similar wording, or no requirement.

Configure Parameters

Target_URL: "https://weworkremotely.com/"
Search_Keywords:Customer Service
Data_Limit: 10

Typical Application Scenarios

Business Data Analysis

Industry Reports: Collect job market data to analyze employment trends and market conditions.
Competitor Analysis：Scrape data regarding salary policies and job requirements from competitors in the same industry.
Employment Guidance： Gather job posting data to assess the current employment environment and guide job seekers effectively.

Technical Integration

API Integration with Make:

Use Browser Act to integrate with the Make (formerly Integromat) automation platform.

Common Integration Patterns

Update Reminders: Automate the weekly collection of job postings matching specific criteria.
Impact Monitoring: Monitor references to specific job postings or research reports for monthly performance evaluation.

For detailed integration steps, visit our API Integration Guide.

Start Scraping We Work Remotely Job

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Contact Options:

Email Contact: service@browseract.com
Discord Community: Join our Discord

Feedback Channels

Discord Community: Real-time discussions and support
Email Feedback: support@browseract.com

150-200credits per task (estimated)