# GitLab Public Projects and Repository Radar (`adaptive_nightmare/gitlab-projects-radar`) Actor

Extract GitLab Public Projects and Repository data in clean JSON or CSV. Query by search, orderBy, maxProjects for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.

- **URL**: https://apify.com/adaptive_nightmare/gitlab-projects-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Developer tools, Open source, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.90 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## GitLab Public Projects and Repository Radar

Monitor open source software projects, developer stars, fork metrics, topics, and recent repository activity across GitLab.

### Features

- Scrapes public GitLab repository listings without requiring personal access tokens or login accounts.
- Gathers star counts, fork volumes, open issue metrics, and last activity timestamps.
- Captures repository topic tags, default branch names, and full namespace paths.
- Supports keyword filtering and sorting by recent commit activity or creation dates.
- Operates via official GitLab REST endpoints with zero proxy overhead.
- Delivers clean records formatted for export to JSON, CSV, Excel, or automated software engineering dashboards.

### Input parameters

- Search Keyword: Optional query string to filter repositories by name or topic.
- Order By: Sort ordering criteria (last activity, created date, name, or similarity). Default is last activity.
- Maximum Projects: Maximum number of repository records to collect, up to 100. Default is 25.

### Output dataset fields

Each dataset record contains:

- id: Unique GitLab numerical project identifier.
- name: Repository title.
- nameWithNamespace: Human-readable project path with group or author name.
- pathWithNamespace: URL path slug.
- description: Project summary and documentation headline.
- webUrl: Direct URL to the repository on gitlab.com.
- starCount: Total developer star endorsements.
- forksCount: Total repository forks created.
- openIssuesCount: Number of active unresolved issues.
- topics: Array of associated programming and domain tags.
- defaultBranch: Primary Git branch name (such as main or master).
- visibility: Repository privacy setting (public).
- lastActivityAt: ISO timestamp of the most recent commit or pipeline activity.
- createdAt: ISO timestamp when the project was created.
- scrapedAt: UTC timestamp when the data was extracted.

### Use cases

- Open source tracking: Monitor popular tools and developer libraries hosted on GitLab infrastructure.
- Competitive intelligence: Benchmark repository engagement and star velocity outside GitHub.
- Talent recruiting: Discover active open source maintainers and contributors across niche frameworks.

# Actor input Schema

## `search` (type: `string`):

Optional keyword to filter projects by title or topic.

## `orderBy` (type: `string`):

Sort criteria for repository list.

## `maxProjects` (type: `integer`):

Maximum number of projects to retrieve.

## Actor input object example

```json
{
  "orderBy": "last_activity_at",
  "maxProjects": 25
}
```

# Actor output Schema

## `results` (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("adaptive_nightmare/gitlab-projects-radar").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("adaptive_nightmare/gitlab-projects-radar").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 adaptive_nightmare/gitlab-projects-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/gitlab-projects-radar"
        }
    }
}
```

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/Yons9OhgHB9voTYHW/builds/cnEGGdu9hFpHN4Pao/openapi.json