# GitHub Trending Scraper - Daily Repos, Stars & Momentum (`conversational_kermis/pulse-github-trending`) Actor

Get today's trending GitHub repositories as structured rows: owner, stars, forks, stars gained in the period, and language. GitHub publishes no API for its trending page and keeps no history, so run this daily and diff the results to track momentum.

- **URL**: https://apify.com/conversational\_kermis/pulse-github-trending.md
- **Developed by:** [the anh nguyen](https://apify.com/conversational_kermis) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## GitHub Trending Scraper

Today's trending GitHub repositories as structured rows — owner, stars, forks,
stars gained in the period, and language — ready for a spreadsheet or a
database.

GitHub publishes its trending page as HTML only. There is no API for it, and the
page is rebuilt every day, so if you want the history you have to capture it
yourself. This Actor turns each snapshot into clean records.

### Input

| Field | Default | What it does |
|---|---|---|
| `since` | `daily` | Trending window: `daily`, `weekly` or `monthly` |
| `spokenLanguage` | `en` | GitHub's spoken-language filter for repo docs |
| `maxResults` | `25` | Rows to return; the page lists about 25 per window |

```json
{ "since": "weekly", "maxResults": 25 }
```

### Output

One row per repository:

| Field | Type | Example |
|---|---|---|
| `owner` | string | `PostHog` |
| `repoName` | string | `posthog` |
| `name` | string | `PostHog/posthog` |
| `url` | string | `https://github.com/PostHog/posthog` |
| `description` | string | repo tagline as shown on the trending page |
| `language` | string | `Python` |
| `stars` | integer | `37927` — total stars |
| `forks` | integer | `3211` |
| `periodStars` | integer | `100` — stars gained during the window |
| `score` | integer | rank score, highest first |
| `scrapedAt` | string | ISO 8601 timestamp of capture |

`periodStars` is the field worth sorting on: total stars mostly measure age,
while stars gained this week measure momentum.

### What it is good for

- **Tracking momentum** — run it daily and diff the results; a repo that appears
  three days running is a different signal from one that spikes once.
- **Market and competitor watching** — new entrants in your category usually
  show up here before they show up anywhere else.
- **Dataset building** — a daily snapshot compounds into a history nobody else
  has, because GitHub does not keep one.

### Notes and limits

- The trending page is generated by GitHub and can differ between requests and
  regions. Treat a single run as a sample of that moment, not as a ranking of
  record.
- Only what the page shows is returned. Repository metadata beyond the trending
  card (issues, contributors, licence) needs the GitHub API.
- No authentication is required and no personal data is collected — the output
  describes repositories and their owning accounts as published publicly.

# Actor input Schema

## `spokenLanguage` (type: `string`):

Filter by spoken language code (e.g. 'en', 'zh', 'es').

## `since` (type: `string`):

Time range for trending repos.

## `maxResults` (type: `integer`):

Maximum number of trending repos to return.

## Actor input object example

```json
{
  "spokenLanguage": "en",
  "since": "daily",
  "maxResults": 25
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("conversational_kermis/pulse-github-trending").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("conversational_kermis/pulse-github-trending").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call conversational_kermis/pulse-github-trending --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,conversational_kermis/pulse-github-trending"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1fBxvoEO9FlslCEtd/builds/8zdjbpa1Yfpy6kyXR/openapi.json