🕷️️ Job Radar • SCRAPING

freelancer.com 🟢 2026-05-03

🔹 Enrich Names List with Details
👤 Client: 🇦🇺 Australia Member since 2013-11-26
💰 Price: $81 Average bid
🚩 Problem: Gather detailed information on a list of names for comprehensive employee profiles.
📦 Existing: Not specified

Specifications:

[Target] - Enrich 250 names with contact details, social media profiles, job positions, company information, and financial services guide (if available).
[Method] - Utilize LinkedIn, company websites, and public databases for data retrieval.
[UI/UX] - Not applicable
[Stack] - Python (with libraries like BeautifulSoup, Scrapy), LinkedIn API, Web scraping tools, Data organization frameworks (e.g., Pandas)
[Security] - Ensure compliance with GDPR and other relevant data protection regulations. Use secure APIs and handle sensitive information appropriately.
[Format] - Organize data in a structured JSON format for easy integration into existing systems.

Workflow:

1. Define the structure of the enriched dataset, including fields like name, contact details, social media profiles, job positions, company info, and FSG (if available).
2. Use LinkedIn API or web scraping to gather information on each individual from their public profiles.
3. Crawl company websites for additional details such as current job positions and company addresses.
4. Query public databases for financial services guide information if applicable.
5. Validate the accuracy of collected data by cross-referencing multiple sources where possible.
6. Organize and clean the data, ensuring all fields are properly formatted and linked to their respective individuals.
7. Export the enriched dataset in a structured JSON format with links to source data points.