🕷️️ Job Radar • SCRAPING

freelancer.com 🟢 2026-05-10

🔹 AI-Powered HubSpot CRM Population
👤 Client: 🇬🇧 Beverley, United Kingdom Member since 2020-04-07
💰 Price: $215 Average bid
🚩 Problem: Gather accurate destination wedding venue data across Europe, Caribbean, and Asia, then import it into HubSpot.
📦 Existing: Not specified

Specifications:

[Target] Identify and extract venue information including services, location, contacts, pricing, website, email, phone.
[Method] Use AI/web-scraping tools for data collection; clean and normalize data before importing to HubSpot.
[UI/UX] Not applicable (backend task)
[Stack] Python, BeautifulSoup, Selenium, Pandas, HubSpot API
[Security] Ensure data privacy and compliance with GDPR; secure API access.
[Format] JSON for data storage, CSV for import into HubSpot

Workflow:

1. Define the scraping scope: Europe, Caribbean, Asia destination wedding venues.
2. Develop web-scraping scripts using Python libraries like BeautifulSoup and Selenium to gather venue details.
3. Clean and normalize scraped data in Pandas DataFrame for consistency.
4. Map fields to HubSpot properties; create new properties if gaps exist.
5. Use HubSpot API to bulk-upload cleaned data ensuring no data loss during import.
6. Develop an automated workflow using Zapier or HubSpot’s automation tools to tag records by region and service type.
7. Test the process with a sample of 100 records, ensuring <3% error rate in contact or website details.
8. Validate that all records are correctly placed in pipeline stages and tagged appropriately.
9. Ensure workflow triggers correctly when new venues are added, assigning sales owners.