Brief

With Upwork’s JavaScript freelance job section—part of the world’s leading freelance talent marketplace—booming, are you wasting countless hours manually collecting freelance job information such as job titles, salary ranges, client ratings, project durations, required skills, client hiring history, job post timestamps, and remote/onsite work modes? Faced with Upwork’s massive repository of JavaScript job content, spanning thousands of JavaScript-related freelance jobs, paginated results and multi-dimensional employer requirements, efficiently acquiring structured job data to accurately find suitable opportunities for JavaScript freelancers or enhance talent screening efficiency for tech recruiters has become a common challenge for many JavaScript freelancers, technical recruiters, outsourcing project managers, and talent agents. Say goodbye to tedious manual copy-and-paste and page-by-page recording of job details or client requirements. BrowserAct will revolutionize the way you access Upwork’s JavaScript freelance job data.

What is BrowserAct Job Data Scraper?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key freelance job data from Upwork’s massive repository of JavaScript-related job content, including job listings, salary details, client information, and project requirement specifics. What can it do for you?

Upwork JavaScript Freelance Job Scraping: Our Upwork crawler can intelligently identify and extract core freelance job data from the platform. This includes job titles (e.g., “Frontend Development with JavaScript,” “JavaScript React Project”), salary ranges (e.g., 30–50/hour, 1500–3000/project), client ratings, project durations (e.g., 1–3 months, long-term), required skills (e.g., React, Node.js, Vue), client hiring history, job post timestamps, and remote/onsite work modes. It covers all critical information needed to track JavaScript freelance job dynamics on Upwork.
AI-Powered Field Suggestions: Using AI to intelligently identify the structure of Upwork pages, such as JavaScript job listing pages, job detail pages, and client profile pages, it quickly suggests and extracts key fields like "job title, salary range, client rating, required skills, job post time". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
Ideal Users: Suitable for JavaScript freelancers, technical recruiters, outsourcing project managers, and talent agents. It helps you obtain structured Upwork JavaScript freelance job data to drive decisions—like finding suitable project opportunities and optimizing talent screening processes—or meet practical needs, such as comparing salary levels, evaluating client credibility and tracking real-time job posting trends.

How to Build a Upwork Job Scraper Workflow: Step by Step

Upwork Job Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.

Step 1: Parameter Setup

target_url: “https://www.upwork.com/freelance-jobs/javascript/”, users can replace the job title later.
data_limit: “10”

Step 2: Add Visit Page Node

Add a "Visit Page" node and input the URL “/target_url”. This will navigate to the Upwork freelance jobs page for the specified category.

Step 3: Add Scroll Page Node

Add a "Scroll Page - Scroll to Element" node. Input the prompt: “Scroll down the page until you see the "Load more jobs" button”. This ensures the load more button is visible.

Step 4: Add Click Element Node

Add a "Click Element" node and input the prompt: “Click the "Load more jobs" button.” This loads additional job listings.

Step 5: Add Extract Data Node

Add an "Extract Data" node and input the prompt: “Extract /data_limit pieces of information. Data fields to extract:

Job Title: Extract the full job title.
Price: Extract the full price
Payment Methods: Such as "Hours needed" or "Fixed-price"
Experience leve
Posted Time
Related Skills: Such as "MySQL" , "API"”.

Step 6: Add Finish: Output Data Node

Add a "Finish: Output Data" node. Select "CSV" as the output format and check "Output as a file" for easy downloading. You can also choose to export in JSON, XML, or Markdown (MD) formats.

35-70credits per task (estimated)