Hacker News Scraper — Full Archive | $4/1K
Pricing
$4.00 / 1,000 results
Search the whole Hacker News archive past the 1000-result cap that stops every other scraper. Stories and comments by keyword, points and date. Front page feeds, comment trees as clean plain text, user profiles. For market research and developer sentiment analysis.
You can access the Hacker News Scraper — Full Archive | $4/1K programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "searchQuery": "rust" }9
10# Run the Actor and wait for it to finish11run = client.actor("datawell/hackernews-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Hacker News Scraper — Full Archive | $4/1K API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: