Developed Headless Scraping Microservice with FastAPI
- Day: 2025-07-14
- Time: 01:15 to 02:25
- Project: Dev
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Web Scraping, Fastapi, Playwright, Automation, Docker
Description
Session Goal
The session aimed to develop a robust headless scraping microservice using FastAPI and Playwright, focusing on automation and scalability.
Key Activities
- Addressed clipboard issues in headless Chrome environments using Selenium.
- Developed strategies for job data extraction and handling JavaScript-heavy pages.
- Explored alternatives for content copying in Streamlit apps and production-level DOM content extraction.
- Planned and implemented a cloud-based headless browser solution for scalable web scraping.
- Analyzed resource usage and scaling strategies for headless browsing systems.
- Set up a FastAPI headless browser scraper API and tested with JavaScript-heavy pages.
- Scaffolded and built a headless scraping microservice, including Dockerization steps.
- Resolved DNS errors in Playwright and confirmed API functionality.
- Developed
curlcommands for job listing scraping and handled cookie consent modals. - Investigated Spider API capabilities for dynamic content extraction.
Achievements
- Successfully developed and tested a headless scraping microservice using FastAPI and Playwright.
- Implemented solutions for common issues like DNS errors and cookie consent handling.
- Explored and compared Spider API capabilities with Playwright for dynamic content scraping.
Pending Tasks
- Further optimization of resource usage and cost analysis for scaling headless browsing systems.
- Continued investigation into Spider API’s advanced features for handling complex web interactions.
Evidence
- source_file=2025-07-14.sessions.jsonl, line_number=5, event_count=0, session_id=2f52a08a016cf29a2525e0e0e40f9f034f2ccc2f3c94b727ab736e7b2c3a0e77
- event_ids: []