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upwork.com 🟢 2026-05-16

🔹 Automated Candidate Data Extraction
👤 Client: 🇩🇪 Germany Member since 2021-10-10
💰 Price: ****
🚩 Problem: Extract candidate data from Stepstone in real-time for job postings.
📦 Existing: Not specified

Specifications:

[Target] Define and extract relevant fields such as name, contact information, skills, experience, education from Stepstone profiles.
[Method] Utilize web scraping techniques to automate the extraction process. Ensure compliance with legal and ethical guidelines for data collection.
[UI/UX] Provide a user-friendly interface for entering keywords and viewing extracted candidate data.
[Stack] Python (Scrapy or Beautiful Soup), Selenium, JSON for data storage and API for real-time updates.
[Security] Implement measures to protect against detection by Stepstone's anti-scraping mechanisms. Ensure data privacy and security.
[Format] Deliver data in a structured format such as JSON or CSV with fields like name, email, phone number, skills, experience, education.

Workflow:

Analyze Stepstone’s website structure to identify key elements for extraction.
Develop the scraping script using Python and libraries like Scrapy or Beautiful Soup.
Integrate Selenium if dynamic content needs to be scraped.
Test the script with a small dataset to ensure accuracy and efficiency.
Deploy the script in a controlled environment to avoid detection by Stepstone’s systems.
Implement API endpoints for real-time data retrieval based on user input.
Provide detailed documentation and a report of the extracted data.

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