Pricing

Pay per usage

GitHub Repo Activity Tracker (Stars, Commits, Releases)

Track repo health + activity for any GitHub repo list: stars, forks, last commit, recent commits/PRs/releases (configurable window), top contributors, languages, license, topics. VC sourcing + open-source ops + competitor intel. BYO token recommended. $0.002 per repo.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Hojun Lee

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

GitHub Repo Activity Tracker

Track repo health + activity for any GitHub repo list: stars, forks, last commit, recent commits/PRs/releases (configurable window), top contributors, languages, license, topics. VC sourcing + open-source ops + competitor intel. BYO token recommended. $0.002 per repo.

Why this exists

VCs and product managers need to track 50-200 GitHub repos to spot:

Pre-traction breakouts (rapid star growth)
Maintenance signals (no commits in 60+ days = abandoned)
Contributor base depth (1-person project vs healthy community)
Release cadence (active project ships releases)

Manually checking via github.com is too slow. The GitHub API has the data but writing the per-repo aggregation logic is tedious. This actor handles it in one call for a batch of repos.

What you get per row

Field	Example	Notes
`slug`	`apify/apify-cli`	input
`stars`	`222`
`forks`	`48`
`watchers`	`222`
`open_issues`	`78`
`primary_language`	`TypeScript`
`languages`	`{"TypeScript":78500, "JavaScript":12000}`	bytes per language
`license`	`Apache-2.0`	SPDX ID
`topics`	`["scraping","automation"]`
`last_commit_date`	`2026-06-09T12:34:00Z`
`commits_last_30d`	`47`	configurable window
`merged_prs_last_30d`	`12`
`open_prs_present`	`true`
`top_contributors`	`[{"login":"...", "contributions":420}]`	top 10
`release_count`	`27`	total releases
`latest_release_tag`	`v2.4.5`
`latest_release_date`	`2026-05-23T...`
`is_archived`	`false`	dead project flag
`is_fork`	`false`

Quick start

Track a batch of repos (default 30-day window)

{
  "repos": [
    "apify/apify-cli",
    "anthropics/anthropic-sdk-python",
    "vercel/next.js",
    "openai/openai-python"
  ]
}

Single repo with 90-day window

{
  "repo": "microsoft/vscode",
  "activityWindowDays": 90
}

With your GitHub token (recommended for batches > 30)

{
  "repos": [...],
  "githubToken": "ghp_xxx"
}

A personal access token at github.com/settings/tokens (no scopes needed for public repos) raises rate limit from 60/hour to 5000/hour.

Pricing

Pay-Per-Event: $0.002 per repo tracked.

Run	Repos	Cost
Watch 1 repo	1	$0.002
Daily VC tracking, 100 repos	100	$0.20
Weekly enterprise audit, 500 repos	500	$1.00

Vs Glimpse / Snyk / dependent-bot ($50-500/mo for similar coverage).

Use cases

VC sourcing — Schedule daily across 100 candidate repos; alert on star growth > X%
Open-source ops — Track health of OS deps your team relies on
Competitor intel — Watch competitors' open releases + commit cadence
Engineering candidate eval — Pull a candidate's public repos quickly
Conference/newsletter content — "10 trending repos this week" feeds

Rate limits

Without token: 60 req/h (each repo uses ~7 calls). With token: 5000 req/h.

For batches > 8 repos without a token, you'll hit the limit. Add a token.

Web Page → Markdown Converter
Article Summarizer — Summarize GitHub release notes
Crypto Alpha Dashboard — Similar 1-call meta pattern
Resume / CV Parser

Feedback

A short review helps OSS / VC users find it: Leave a review on Apify Store

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