🕷️️ Job Radar • SCRAPING

upwork.com 2026-04-23 🟡

🔹 Extract Data from Website for Defendants' Names and Addresses
👤 Client: 🇺🇸 United States Member since 2017-09-13
💰 Price: $8.00-$25.00 Hourly
🚩 Problem: Scrape data from the Maryland Judiciary website to extract names and addresses of defendants into a CSV file.
📦 Existing: [UI/UX]

Specifications:

[Stack] Python with libraries like BeautifulSoup, requests, pandas
[Method] Web scraping
[Format] CSV export

Workflow:

Install necessary Python packages: requests, BeautifulSoup4, and pandas.
Define URL patterns for different search criteria (date range, party name, district court type).
Implement a loop to iterate through each letter of the alphabet for last names.
For each iteration, construct the URL with appropriate parameters and make HTTP requests.
Parse HTML content using BeautifulSoup to extract relevant data such as defendant's name and address.
Store extracted data in a pandas DataFrame.
Export the DataFrame to a CSV file.