🕷️️ Job Radar • SCRAPING

freelancer.com 🟡 2026-05-07

🔹 500 German Credit Professionals Dataset
👤 Client: 🇺🇸 Pittsburgh, United States Member since 2026-05-05
💰 Price: $22 Average bid
🚩 Problem: Gather detailed information on 500 Germany-based professionals in the manufacturing sector to build a targeted database.
📦 Existing: [Stack]: Not specified, [Security]: GDPR compliance required, [Format]: Clean Excel spreadsheet

Specifications:

[Target] - Manufacturing sector professionals: Credit Managers, Credit Analysts, Accounts Receivable specialists
[Method] - Data collection from reliable German business directories, credit bureaus, and scrape-friendly platforms
[UI/UX] - N/A (Data-driven task)
[Stack] - Python for data scraping, Excel for data structuring, SQL for deduplication
[Security] - Ensure GDPR compliance in data handling and sourcing
[Format] - One Excel workbook with 500 records per row, each containing: name, job title, corporate email, direct phone if available, LinkedIn URL, legal name, headquarters city, manufacturing sub-sector, employee count, website, annual revenue, profit or loss figure, fiscal year

Workflow:

1. Identify reliable German business directories and credit bureaus for data sourcing.
2. Develop a Python script to scrape relevant information from identified sources while ensuring GDPR compliance.
3. Structure the scraped data into an Excel spreadsheet with columns for each required data point.
4. Deduplicate records using SQL queries to ensure zero duplicates and under 5% bounce rate for emails.
5. Verify financial data against reputable public filings or databases.
6. Compile a short note detailing sources and verification steps.