Compare Hacker News Scraper Side by Side
Compare Hacker News Scraper Side by Side — a practical guide with a ready-to-run configuration and structured output.
Need to compare hacker news scraper across targets? Thirdwatch's Hacker News Scraper turns it into structured rows — the fields you need, ready to export.
Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.
Why Compare side by side works
Put the same fields side by side for every target — the deltas are where decisions happen. This guide shows the configuration that pulls hacker news scraper data from Hacker News Scraper.
How does this compare to the alternatives?
Manual copy-paste works for a handful of rows; dedicated per-site scrapers on other platforms either gate the same data behind sign-in or charge flat monthly fees regardless of usage.
Why this Actor
- Purpose-built for Hacker News Scraper — no generic crawling config to tune
- Pay-per-result pricing — you pay only for rows that come back
- Structured output ready for JSON/CSV export or API consumption
- No login, cookies, or API keys needed for the public surfaces it reads
How to do it in 3 steps
Step 1: Configure the input
Set the inputs as shown below — feeds takes the targets, and the optional fields bound the run size.
Step 2: Run the Actor
Run it from the console, the API, or the linked saved task. One dataset row is written per record.
Step 3: Use the output
Every row carries the fields shown in the sample — export as JSON, CSV, or feed it straight into your pipeline.
{
"feeds": [
"top"
],
"maxResultsPerFeed": 50,
"includeComments": false,
"maxCommentsPerStory": 10
}Each dataset row looks like:
{
"id": 49771110,
"type": "story",
"feed": "top",
"rank": 1,
"title": "Exfiltrate Your Weights",
"text_html": null,
"author": "RohanAdwankar",
"score": 452,
"comment_count": 174,
"child_ids": [
49774661,
49771331,
49772710,
49774638,
49771905,
49774220,
49774470,
49771459,
49771634,
49771298,
49771451,
49771357,
49771281,
49772843,
49773339,
49773581,
49772101,
49772446,
49771791,
49772132,
49771301,
49774315,
49772902,
49773626,
49771654,
49772688,
49772353,
49771588,
49772381,
49772111,
49771681,
49771835,
49771361,
49771267,
49772246,
49772492,
49771945,
49773399,
49773313,
49772422,
49771705,
49772589,
49771598,
49773889,
49771431,
49771751
],
"parent_id": null,
"parent_story_id": null
}What to watch for
Rate the targets reasonably — large batches benefit from modest concurrency. Source sites may throttle heavy bursts; retry once and widen filters if a target surface is thin.
Related use cases
- Feed Hacker News Scraper Data Into Your Pipeline
- Extract Hacker News Scraper at Scale
- Monitor Hacker News Scraper on a Schedule
- Export Hacker News Scraper to CSV
- All Thirdwatch use-case guides
Run the Hacker News Scraper on Apify Store — pay per result, free to try, no credit card to test.
Frequently asked questions
What does Hacker News Scraper return?
One dataset row per result — with the fields shown in the sample output. Export as JSON, CSV, or Excel.
How do I control run size?
`feeds` selects the targets and the max/limit fields bound how many rows come back. Start small, then scale.
Can I run this on a schedule?
Yes — save it as a task and attach a schedule in Apify Console for daily/weekly pulls.
Is this data public?
The Actor collects publicly visible data only — the same information a logged-out visitor sees.
What formats can I export?
JSON, CSV, Excel, XML, or direct API access to the dataset — plus webhooks and integrations.
What if a run returns fewer rows than expected?
The source limits some results; retry once, and widen the query or filters if the target surface is genuinely thin.