Scrape Article Titles and Links from Hacker Noon Website
This workflow is manually triggered to automatically access the Hacker Noon website and scrape the titles and links of all secondary headings on the homepage. Users can quickly obtain the latest article information without manually browsing the webpage, enhancing the efficiency of information collection. It is suitable for scenarios such as media monitoring, content aggregation, and data collection, facilitating content analysis and public opinion tracking. This workflow holds significant application value, especially for content editors, market researchers, and developers.
Workflow Name
Scrape Article Titles and Links from Hacker Noon Website
Key Features and Highlights
This workflow, triggered manually, automatically accesses the Hacker Noon homepage to scrape all article titles and their corresponding links contained within secondary headers (h2 tags). It structurally extracts webpage content to quickly obtain the latest article information.
Core Problem Addressed
Enables users to automatically scrape and organize article titles and links from the Hacker Noon website without manually browsing the pages, thereby improving information collection efficiency and facilitating subsequent content analysis or distribution.
Application Scenarios
- Media Monitoring: Automatically acquire the latest articles from target websites to facilitate content tracking and sentiment analysis.
- Content Aggregation: Provide real-time updated article lists for content platforms or applications.
- Data Collection: Gather publicly available web data for market research or data analysis purposes.
Main Process Steps
- Manually trigger the workflow to start execution.
- Send an HTTP request to access the Hacker Noon homepage.
- Use an HTML extraction node to capture all h2 tag contents (which include article entries).
- For each captured h2 tag, further extract the article title (text within the a tag) and the link (href attribute of the a tag).
Involved Systems or Services
- HTTP Request (for sending network requests)
- HTML Extract (parsing webpage content based on CSS selectors)
- Manual Trigger Node (to manually start the workflow)
Target Users and Usage Value
- Content editors and operators who need to quickly compile article information from target websites.
- Market researchers and analysts who require automated collection of industry news data.
- Developers and data engineers looking for a foundational template for web data scraping and parsing, easily extendable to other websites.