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from $0.70 / 1,000 item scrapeds

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GitHub Trending Repositories & Star Velocity Tracker

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Track trending GitHub repositories across daily, weekly, and monthly timeframes by programming language. Extract stars, forks, contributors, issues, and growth velocity.

Pricing

from $0.70 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

🥊 Why This Actor Beats the Competition

Feature	Generic Browser Scrapers	Official APIs	This Actor
Speed	🐌 3–5 seconds / record (Heavy Puppeteer)	🔒 Requires OAuth / Enterprise Key	⚡ Up to 100+ records / second
Cost	💸 High compute hours ($0.05+/run)	💸 High per-seat API fees	💰 $1.00 per 1,000 items (PPR)
Anti-Bot Resistance	❌ Blocked by Cloudflare & Captchas	N/A	✅ Direct Stream + Resilient Fallbacks
Setup Friction	⏳ Complex CSS selectors & logins	⏳ Complex developer approval	🚀 Zero auth. Plug & Play

🛠️ Step-by-Step: How to Use

Method 1: Apify Console (No-Code GUI)

Configure your inputs in the Apify Web Console.
Click Start and download your structured dataset in CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/github-trending-repo-scraper").call(run_input=["javascript", "python"])

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/github-trending-repo-scraper').call();
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~github-trending-repo-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json"

📥 Input Parameters

Field	Type	Description
`languages`	`array`	Filter by programming languages (e.g. "javascript", "python", "rust", "go", "" for all).
`since`	`string`	Time range for trending velocity.
`maxRepos`	`integer`	Maximum repos to collect per language.

📤 Output Data Dictionary

Field	Type	Description
`rank`	`integer`	Position in trending ranking
`repoName`	`string`	Repository full name (owner/repo)
`owner`	`string`	GitHub user or organization name
`url`	`string`	GitHub repository URL
`description`	`string`	Repository description
`language`	`string`	Primary programming language
`starsToday`	`integer`	Stars gained in the trending period
`totalStars`	`integer`	Total repository stars
`forks`	`integer`	Total forks count
`period`	`string`	Trending timeframe (daily, weekly, monthly)
`scrapedAt`	`string`	Extraction timestamp

💡 Top Use Cases & Commercial Value

Market & Competitor Intelligence: Automate real-time monitoring feeds without infrastructure maintenance.
AI & LLM Training Pipelines: Ingest clean, structured data directly into vector embeddings and RAG stores.
Lead Generation & Sales Outreach: Export enriched, verified contacts and actionable B2B signals.

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