TechCrunch Article Scraper

This workflow is ideal for:

• Content Creators: Bloggers and journalists looking to gather the latest tech news efficiently.
• Marketing Professionals: Those who want to stay updated with industry trends and insights for strategic planning.
• Developers: Individuals interested in automating data collection from TechCrunch for analysis or integration into other applications.
• Researchers: Academics or analysts studying trends in technology and startups.

This workflow addresses the challenge of manually tracking and collecting the latest articles from TechCrunch. By automating the scraping process, users save valuable time and ensure they receive the most recent updates without the need for constant manual checking.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Request Latest Articles: It sends an HTTP request to TechCrunch to fetch the latest articles.
3. Parse Articles Box: The HTML response is parsed to locate the section containing the articles.
4. Extract Posts: All individual posts are extracted from the parsed HTML.
5. Split Out Posts: Each post is split out for further processing.
6. Parse Each Post: For each individual post, details such as image, title, URL, and creation date are extracted.
7. Request Post Details: A separate request is made to fetch the detailed content of each post.
8. Parse Content and Metadata: The content, title, thumbnail, and creation date are parsed from the detailed post page.
9. Save Values: Finally, the extracted values are saved for further use or analysis.