🕷️️ Job Radar • SCRAPING

freelancer.com 🟡 2026-05-07

🔹 Scrape book details from multiple sources for ten thousand ISBNs and push data into Google Sheets
👤 Client: 🇺🇸 United States Member since 2026-02-11
💰 Price: $84 Average bid
🚩 Problem: Automate the process of extracting book information from various online sources while ensuring robustness against throttling, bot detection, and page format changes.
📦 Existing: Not specified

Specifications:

[Target] Scrape book details for ten thousand ISBNs from Amazon and other APIs
[Method] Use a combination of Playwright and rotating residential proxies to handle dynamic content and avoid bot detection
[UI/UX] Not applicable
[Stack] Python, Playwright, Scrapy (optional), Google Sheets API
[Security] Implement rate limiting and use secure proxy management
[Format] Cleaned data in a structured format for direct import into Google Sheets

Workflow:

1. Set up the scraping environment with necessary libraries and dependencies.
2. Define the ISBN list and configure Playwright to handle dynamic content from Amazon and other APIs.
3. Implement rate limiting and proxy rotation strategies to avoid detection by Amazon’s systems.
4. Develop a structured data model for storing scraped book details.
5. Write the scraping logic, ensuring it can handle various page formats and errors gracefully.
6. Integrate with Google Sheets API to insert or update rows atomically while preserving existing formulas.
7. Document the codebase thoroughly, including setup instructions and deployment steps for macOS and Ubuntu.