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.

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⚡ Run in 30 seconds

Click Start and enter one or more repos in owner/name format — you get stars, forks, last commit date, recent commits and merged PRs (30-day window), top contributors, and language breakdown. Costs $0.002 per repo; no GitHub token required for small runs.

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Input Parameters

Parameter	Type	Default	Description
repos	array	[]	List of repos in owner/name format (e.g. apify/apify-cli).
repo	string	``	Used when 'repos' is empty.
activityWindowDays	integer	30	Window for counting recent commits + merged PRs.
githubToken	string	—	Bring your own GitHub PAT for higher rate limits (5000/h vs 60/h). Cre
telegramBotToken	string	—	Telegram bot token for snapshot notification.
telegramChatId	string	``	Telegram chat ID to send alerts to (get it from @userinfobot)

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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.

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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

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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.

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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).

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Use cases

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

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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.

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Related actors (same author)

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

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Feedback

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