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Tech Signal Feed

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Collect tech trend signals from GitHub and Hacker News.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

wei li

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Tech Signal Feed (Apify Actor)

Collects tech trend signals from:

GitHub repositories created in the last 7 days, sorted by stars.
Hacker News front page posts.

The Actor merges both sources, computes a comparable score, sorts descending, and writes results to the default dataset.

Input

The Actor accepts:

githubLimit (1-100, default 60)
hackerNewsLimit (1-100, default 60)
topLimit (1-200, default 100)
githubToken (optional, recommended to avoid GitHub rate limits)
allowPartialResults (default true)
storeFullPayload (default true)

Output

Dataset items

Top topLimit merged items, each containing:
- source, id, title, url, score, author, language, summary, published_at, raw

Key-value store

LATEST_SUMMARY: counts and source error summary.
LATEST_FULL: full merged payload (optional).

Local run

cd E:\xplan\apify-tech-signal-actor
python -m pip install -r requirements.txt
python -m src.main

Optional local storage path:

$env:APIFY_LOCAL_STORAGE_DIR="E:\xplan\apify-tech-signal-actor\storage"
python -m src.main

Publish

cd E:\xplan\apify-tech-signal-actor
npx -y apify-cli login
npx -y apify-cli push

Or one-command deploy with token:

powershell -ExecutionPolicy Bypass -File .\scripts\deploy_actor.ps1 -ApifyToken "<YOUR_APIFY_TOKEN>"

After publishing, open the Actor in Apify Console and configure monetization (PPE recommended).

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