🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-23 🟡

🔹 Automated Agent for CV & LinkedIn Profile Analysis and Vacancy Matching
👤 Client: 🇪🇸 Marbella, Spain Member since 2025-11-24
💰 Price: $1339 Average bid
🚩 Problem: Ingest, process, and match candidate profiles with job vacancies efficiently while ensuring compliance and cost-effectiveness.
📦 Existing: Not specified

Specifications:

[Target] Ingest and link data from CVs, LinkedIn profiles, and Metaview interview notes to a single candidate record.
[Method] Use NLP tools (Python, LangChain, OpenAI) for parsing and normalizing skills, work experience, and preferences across all sources.
[UI/UX] Provide CLI or simple web UI for running the script and viewing outputs.
[Stack] Python with libraries like Pandas, Scikit-learn, Flask; NLP tools (LangChain, OpenAI); Web scraping frameworks (BeautifulSoup, Selenium); API integrations (LinkedIn, Metaview).
[Security] Ensure GDPR compliance by anonymizing candidate data before sending emails. Use secure APIs and encryption for data storage.
[Format] Output in JSON or CSV format with clear role rankings and match rationales.

Workflow:

1. Ingest CVs, LinkedIn profiles, and Metaview notes using web scraping and API integrations.
2. Parse and normalize candidate information (skills, experience, preferences) from all sources.
3. Query company career pages and job boards for relevant vacancies.
4. Rank vacancies by relevance based on extracted candidate profile data.
5. Exclude recruitment agency roles and identify hiring managers where possible.
6. Automate email production or provide a script for manual sending via LinkedIn.