🕷️️ Job Radar • SCRAPING

freelancer.com 🟠 2026-05-07

🔹 Bulk PDF Download & Excel Entry
👤 Client: 🇮🇳 DELHI, India Member since 2021-05-15
💰 Price: $58 Average bid
🚩 Problem: Efficiently downloading over 7,000 PDF documents from a public website while ensuring accurate data entry into an existing Excel template.
📦 Existing: [Not specified]

Specifications:

[Target] - Download and organize over 7,000 PDF files from a public website.
[Method] - Use Python with libraries like requests and BeautifulSoup for web scraping. Employ Selenium or similar tool to handle dynamic content if necessary.
[UI/UX] - Not applicable
[Stack] - Python (requests, BeautifulSoup, Selenium), Pandas, Openpyxl
[Security] - Ensure compliance with website terms of service; use a reliable VPN for traffic management.
[Format] - Organize PDFs into folders and subfolders based on metadata. Populate Excel template using Openpyxl.

Workflow:

1. Analyze the website structure to identify the correct URLs for downloading PDFs.
2. Develop a Python script that uses requests or Selenium to download each PDF, ensuring proper naming conventions.
3. Organize downloaded files into folders and subfolders based on metadata (e.g., date, category).
4. Use Pandas to read the provided Excel template and Openpyxl to write data directly into it.
5. Test the script with a small subset of PDFs to ensure accuracy and adjust as necessary.