🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-26 🟡

🔹 Scrape Data from Apollo
👤 Client: 🇧🇩 Dhaka, Bangladesh Member since 2015-09-12
💰 Price: Average bid $9
🚩 Problem: Extract and structure email addresses of key executives in specific locations and industries.
📦 Existing: [=verified&personTitles[]=CEO&personTitles[]=CIO&personTitles[]=COO&personTitles[]=director%20of%20operations&personLocations[]=Illinois%2C%20US&personLocations[]=Michigan%2C%20US&personLocations[]=Wisconsin%2C%20US&personLocations[]=Indiana%2C%20US&organizationNaicsCodes[]=42361&organizationNaicsCodes[]=42&sortAscending=false&sortByField=recommendations_score&page=1&recommendationConfigId=score]

Specifications:

[Target] Extract emails of CEOs, CIOs, COOs, and directors of operations from Illinois, Michigan, Wisconsin, and Indiana.
[Method] Use web scraping techniques to access the Apollo link provided.
[UI/UX] Not applicable for this task.
[Stack] Python with libraries like BeautifulSoup or Scrapy, requests module.
[Security] Ensure data is handled securely; use HTTPS connections. Implement rate limiting to avoid IP bans.
[Format] Output in JSON format with structured fields: {name, title, email, location}

Workflow:

Analyze the Apollo link structure and identify the correct parameters for filtering executives by title and location.
Set up a Python environment with necessary libraries installed (BeautifulSoup, Scrapy, requests).
Write scraping code to navigate through pages as specified in the URL parameters.
Extract relevant data points: name, title, email, and location.
Validate extracted emails using regex or similar methods.
Structure the data into a JSON format with appropriate keys.
Save the structured data to a file or database.