This Python-based web scraping project automatically collects remote full-stack programming jobs from WeWorkRemotely.com. It extracts key job details like title, company, job type, location, posting date, and application deadline, and saves the results in a structured Excel file.
This scraper is part of my Upwork portfolio and showcases my skills in web scraping, data parsing, and automation scripting using Python.
- 🔍 Scrapes listings from the Full-Stack Programming section of WeWorkRemotely
- 📄 Extracts job information including:
- Job Title
- Company Name
- Posted On
- Apply Before
- Job Type (e.g., Full-time, Part-time, Contract)
- Region / Location
- Direct Job Link
- 🌐 Automatically follows links to job detail pages for deeper information
- 📁 Saves all scraped data to an Excel file
- ✅ Structured, clean, and ready for analysis or client delivery
- Python 3
requestsfor HTTP communicationBeautifulSoupfor HTML parsingpandasfor data handling and Excel exportopenpyxlfor Excel writing
📦 Job Listings Scraper
- ┣ 📜 job_list.py # Main Python script
- ┗ 📄 Job_Lists.xlsx # Output Excel file (auto-generated)
- Clone the repository
git clone https://github.com/yourusername/job-list-scraper.git
cd job-listings-scraper - Install required libraries
pip install requests beautifulsoup4 pandas openpyxl
- Run the scraper
python job_list.py
- The result will be saved in an Excel file.
This project demonstrates my ability to:
- 🔧 Scrape and parse nested HTML data
- 🔁 Automate data collection from paginated and linked job listings
- ✅ Cleanly format data for delivery or analysis
- 💼 Build portfolio-grade freelance projects that can be reused or scaled
It is part of my Upwork portfolio and highlights my work as a web scraping specialist and Python automation developer.
Want to collaborate or hire me?
- 📧 Email: rafidrahman00@gmail.com
- 🔗 Upwork: Upwork Profile