Data Loaders
Scrape Hacker News
Overview:
The Scrape Hacker News block automates the gathering of news articles from Hacker News based on a specified search query. This block helps users stay updated on specific topics by eliminating the need for manual searches, thus simplifying the process of finding relevant, topic-specific articles.
Inputs & Outputs
| I/O | Feature | Type | Simple Explanation |
|---|---|---|---|
| input | query | string | The search term or query used to find matching articles. |
| input | num_pages | number | The number of pages to retrieve results that correspond to the query (maximum value is 5). |
| output | post_titles | string[] | An array containing titles of the posts retrieved. |
| output | post_links | string[] | An array containing links to the respective posts. |
Use Cases
Consider how this block can streamline processes in practical situations:
- Research and Journalism: Journalists and researchers can use this block for efficient information gathering focused on technology trends and industry updates without sifting through irrelevant data.
- Tech Enthusiasts: Individuals passionate about technology can effortlessly keep track of new developments, innovations, and startups by querying specific topics.
- Community Trend Monitoring: Track popular discussions within the tech community effectively; this tool excludes posts labeled as “AskHN,” “ShowHN,” or “LaunchHN”, concentrating solely on valuable conversations.
In summary, whenever there’s a necessity to fetch article content based on particular interests or queries, the Scrape Hacker News block is an invaluable resource!