Developed Headless Scraping Microservice with FastAPI

2 min read

📅 2025-07-14 — Session: Developed Headless Scraping Microservice with FastAPI

🕒 01:15–02:25
🏷️ Labels: Web Scraping, Fastapi, Playwright, Automation, Docker
📂 Project: Dev
⭐ Priority: MEDIUM

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 curl commands 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.

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