GitHub Weekly Trending Repos & Org Repo Finder
Find GitHub repositories gaining stars this week, run keyword searches across all public repos, or list an organization's public repos with stars, forks, language, topics and license for each one.
Open in Apify Store$0.99 / 1K on Free
Short answer
GitHub Weekly Trending Repos & Org Repo Finder is an Apify Store Actor for GitHub data that returns 9 published output fields, including description, stars, language, repoUrl. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 21 input settings; one is required (mode). It covers 4 of the 6 core GitHub fields this site tracks. Last updated Nov 10, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
9 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
trendingRankfullNamedescriptionstarsstarsGainedlanguagetopicslicenserepoUrl
Not in the schema among the core GitHub fields: repo, updated_at. The field matrix shows which other tools return them.
How it differs from the other GitHub Actors
Among the 4 catalogue Actors for GitHub with a published schema, only this one returns trendingRank.
Pick another Actor if you need
| Actor | Fields it adds | Price / 1K |
|---|---|---|
| GitHub Repository Metadata & README Extractor | htmlUrl, forks, watchers, subscribersCount | $0.99 |
| GitHub Repository Language Breakdown Analyzer | forks, contributorCount, pushedAt | $0.99 |
| GitHub Marketplace App & Action Listings by Category | listingType, slug, installedCount, planType | $0.99 |
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | trending | What to fetch: GitHub Trending repositories, trending developers, keyword search, an organization's repos, a user's repos, or specific repository details. |
| since | string | No | weekly | Time window for trending repositories and developers (mode=trending / developers). |
| searchQuery | string | No | machine learning | Keywords to search in repository names, descriptions and READMEs (mode=search). GitHub search syntax such as `language:` or `topic:` also works. |
| language | string | No | – | Restrict results to one programming language (all modes except developers; trending uses the language's trending page). |
| customLanguage | string | No | – | Optional free-text GitHub language name that overrides the dropdown above (e.g. `Blade`, `QML`, `Tcl`). |
| spokenLanguage | string | No | – | Only show trending repos whose README is written in this language (mode=trending). |
| customSpokenLanguage | string | No | – | Optional ISO 639-1 code that overrides the spoken language dropdown (e.g. `fi`, `uk`, `vi`). |
| org | string | No | openai | GitHub organization login or profile URL (mode=orgRepos). |
| user | string | No | torvalds | GitHub user login or profile URL (mode=userRepos). |
| repoUrls | array | No | [] | Repository links or `owner/repo` paths, one per line (mode=repoDetails). |
Show the other 11 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| sortBy | string | No | stars | Result order for search, org and user modes. `Best match` uses GitHub relevance; other values rank by that metric. |
| minStars | integer | No | 0 | Drop repositories with fewer stars than this. Set 0 to disable. |
| pushedWithinDays | integer | No | 0 | Only repositories with a push in the last N days. Set 0 to disable (365 = one year). |
| aiOnly | boolean | No | false | Keep repositories related to AI, machine learning, LLMs, computer vision and related topics (all repository modes). |
| filterTopics | array | No | [] | Keep repositories with at least one of these GitHub topics (e.g. `llm`, `rag`, `pytorch`). Empty = no topic filter. |
| includeForks | boolean | No | false | Include forked repositories in search, org and user results. Off by default for a clean signal. |
| includeDeveloperProfiles | boolean | No | false | Fetch bio, followers, public repo count, company and location for each trending developer (mode=developers). Adds one request per developer. |
| includeLanguages | boolean | No | true | Fetch the byte-count language breakdown for each repository (mode=repoDetails). Adds one request per repository. |
| includeContributors | boolean | No | false | Fetch the top 10 contributors for each repository (mode=repoDetails). Adds one request per repository. |
| includeReadme | boolean | No | false | Fetch each repository's README as markdown (mode=repoDetails). Adds one download per repository. |
| maxItems | integer | No | 20 | Maximum number of records to return. GitHub search, org and user modes cap at 1,000 results; Trending exposes about 25 per page. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "trending",
"since": "weekly",
"searchQuery": "machine learning",
"org": "openai",
"user": "torvalds",
"repoUrls": [],
"sortBy": "stars",
"minStars": 0,
"pushedWithinDays": 0,
"aiOnly": false,
"filterTopics": [],
"includeForks": false,
"includeDeveloperProfiles": false,
"includeLanguages": true,
"includeContributors": false,
"includeReadme": false,
"maxItems": 3
}Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "trending",
"since": "weekly",
"searchQuery": "machine learning",
"org": "openai",
"user": "torvalds",
"repoUrls": [],
"sortBy": "stars",
"minStars": 0,
"pushedWithinDays": 0,
"aiOnly": False,
"filterTopics": [],
"includeForks": False,
"includeDeveloperProfiles": False,
"includeLanguages": True,
"includeContributors": False,
"includeReadme": False,
"maxItems": 3
}
run = client.actor("dataspryva/github-weekly-trending-repos-and-org-repo-finder").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "trending",
"since": "weekly",
"searchQuery": "machine learning",
"org": "openai",
"user": "torvalds",
"repoUrls": [],
"sortBy": "stars",
"minStars": 0,
"pushedWithinDays": 0,
"aiOnly": false,
"filterTopics": [],
"includeForks": false,
"includeDeveloperProfiles": false,
"includeLanguages": true,
"includeContributors": false,
"includeReadme": false,
"maxItems": 3
};
const run = await client.actor("dataspryva/github-weekly-trending-repos-and-org-repo-finder").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/dataspryva~github-weekly-trending-repos-and-org-repo-finder/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"trending","since":"weekly","searchQuery":"machine learning","org":"openai","user":"torvalds","repoUrls":[],"sortBy":"stars","minStars":0,"pushedWithinDays":0,"aiOnly":false,"filterTopics":[],"includeForks":false,"includeDeveloperProfiles":false,"includeLanguages":true,"includeContributors":false,"includeReadme":false,"maxItems":3}'Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=dataspryva/github-weekly-trending-repos-and-org-repo-finder",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
}Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among GitHub routes
It ranks 2 of 4 catalogue Actors for GitHub on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 GitHub Repository Metadata & README Extractor 19 output fields, pay per event 5 of 6 core fields
$0.99 / 1K - 2 GitHub Weekly Trending Repos & Org Repo Finder 9 output fields, pay per event 4 of 6 core fields
$0.99 / 1K - 3 GitHub Repository Language Breakdown Analyzer 9 output fields, pay per event 3 of 6 core fields
$0.99 / 1K - 4 GitHub Marketplace App & Action Listings by Category 9 output fields, pay per event 2 of 6 core fields
$0.99 / 1K - + 6 other Store tools, combined Reference only 5 of 6 core fields
from $0.23 / 1K - API GitHub REST API Public API fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: GitHub REST API
Public API. The GitHub REST API exposes repositories, issues, releases, users, organisations and more. A token raises rate limits.
No per-call fee for standard REST API use.
Other Store tools for GitHub
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| GitHub Repositories Search Scraper | 42 | $0.23 |
| GitHub Repository & Trending Scraper | 8 | $0.50 |
| GitHub Repository Scraper | 25 | $1.99 |
| GitHub Repository Search & Scraper | 8 | $2.00 |
| GitHub Repository Scraper | – | $2.00 |
What people use it for
- discover trending repositories
- search public repositories
- list organization repositories
Other catalogue Actors for GitHub
GitHub Repository Metadata & README Extractor
Fetch stars, forks, topics, license, language breakdown and README text for GitHub repositories, by search query or a direct list of repository…
GitHub Repository Language Breakdown Analyzer
Pull repositories for a GitHub organization, a keyword search, or a single repo, with per-repo programming-language percentage breakdown, stars,…
GitHub Marketplace App & Action Listings by Category
Search GitHub Marketplace apps and Actions by keyword, browse an entire category, or fetch listings by slug. Returns pricing plans, categories,…
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Questions people ask
How much does GitHub Weekly Trending Repos & Org Repo Finder cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does GitHub Weekly Trending Repos & Org Repo Finder return?
Its published output schema lists 9 fields: trendingRank, fullName, description, stars, starsGained, language, topics, license, repoUrl. A listed field is not guaranteed to be filled in every row.
What input does GitHub Weekly Trending Repos & Org Repo Finder need?
Required: mode. Optional settings include since, searchQuery, language, customLanguage, spokenLanguage, customSpokenLanguage.
What are the alternatives to GitHub Weekly Trending Repos & Org Repo Finder for GitHub?
4 catalogue Actors cover GitHub. Close alternatives: GitHub Repository Metadata & README Extractor; GitHub Repository Language Breakdown Analyzer; GitHub Marketplace App & Action Listings by Category. The GitHub page compares all of them field by field.
How do I run GitHub Weekly Trending Repos & Org Repo Finder from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/github-weekly-trending-repos-and-org-repo-finder").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/github-weekly-trending-repos-and-org-repo-finder").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~github-weekly-trending-repos-and-org-repo-finder/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- GitHub Weekly Trending Repos & Org Repo Finder on Apify Store
- Published build with input and output schema (JSON)
- GitHub REST API documentation
Cite this page
Scraper Finder. "GitHub Weekly Trending Repos & Org Repo Finder." https://scraperfinder.com/catalogue/github-weekly-trending-repos-and-org-repo-finder/ (data checked 2026-11-12).
Run GitHub Weekly Trending Repos & Org Repo Finder
$0.99 per 1,000 results. Paste the example input above, set your GitHub query, then export the dataset. Still choosing? Compare every GitHub route.