Find PostgreSQL Performance Discussions on Hacker News
Dataspryva
Returns recent Hacker News stories and comments about PostgreSQL performance, with text and timestamps to help database engineers and infrastructure teams track tuning ideas and recurring problems. Change searchQueries to explore another topic, or dateRangeFrom to set the earliest date.
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The Hacker News Story, Comment & Karma Scraper Actor is ready to run with the inputs already set for "Find PostgreSQL Performance Discussions on Hacker News". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Find PostgreSQL Performance Discussions on Hacker News" task
The Hacker News Story, Comment & Karma Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search queries (mode=search), search content types, and more, to match your specific use case.
Receive the "Find PostgreSQL Performance Discussions on Hacker News" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, title, company, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Find PostgreSQL Performance Discussions on Hacker News" task via API.

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The PostgreSQL discussion search task searches Hacker News stories and comments for “PostgreSQL performance,” sorted newest first, from October 1, 2026 onward.
Each result in the PostgreSQL discussion search task can include a title, text, author, score, timestamp, and link; comment results may also include the related story title and URL.
Change the search phrase in the PostgreSQL discussion search task to explore another topic; each query runs independently and results are merged without duplicates.
The PostgreSQL discussion search task includes both stories and comments, as selected for this run.
The PostgreSQL discussion search task has a 20-result cap across records; nested comments count toward the cap when collected.
You can run the PostgreSQL discussion search task on an Apify schedule, through the Apify API, or with integrations such as Zapier, Make, and n8n.