# Github Marketplace Actions Scraper (`kawsar/github-marketplace-actions-scraper`) Actor

Collect GitHub Marketplace actions and apps instantly. Search by query, set your item limit, and export clean JSON, CSV, or Excel datasets containing slugs, names, and direct URLs without friction

- **URL**: https://apify.com/kawsar/github-marketplace-actions-scraper.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## GitHub Marketplace Actions Scraper

Collect GitHub Marketplace Actions and apps from public search pages. Set a query, pick actions or apps, choose a limit, and export clean datasets in JSON, CSV, or Excel formats.

### What it does

This actor reads public GitHub Marketplace search results and returns listing details including slug, name, and URL rows. Search mode fetches one Marketplace page for your query and stops at your item cap. Keep request volume low and respect GitHub's published terms.

### Modes

- **Search Marketplace actions** parses Marketplace search HTML for Actions or app listings.

### Input example

```json
{
  "mode": "search",
  "query": "python",
  "type": "actions",
  "maxItems": 50,
  "requestDelaySecs": 2
}

```

### Output example

```json
{
  "slug": "setup-python",
  "name": "Setup Python",
  "url": "https://github.com/marketplace/actions/setup-python"
}

```

The overview table shows slug, name, and url fields for each collected item.

### FAQ

**Who is this for?**

Developers and analysts who want to gather GitHub Marketplace Action or app listings into an organized dataset for tooling, research, or workflow automation.

**What can I export?**

JSON, CSV, Excel, and other standard dataset export formats supported by the Apify platform.

**Can I run it on a schedule?**

Yes. You can use platform schedules to automatically refresh your dataset on a custom recurring interval.

**What happens when a page fails?**

The run continues and stores an error record instead of stopping the entire scraping job.

**Does pagination go beyond the first HTML page?**

Not in this version. The search response returns a fixed listing set in a single page view, and the actor caps results based on your maxItems setting.

### Trademark Notice

GitHub and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the data source and does not imply affiliation, sponsorship, endorsement, or partnership.

### Disclaimer

This Actor is an independent tool and is not officially associated with, endorsed by, or sponsored by GitHub. All information is gathered exclusively from publicly accessible pages. Users are responsible for adhering to source platform policies and rate limits.

### Is web scraping legal?

This actor extracts publicly accessible data without bypassing login screens, paywalls, or technical security layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

- **Personal data:** When collecting identifiers or creator details, ensure compliance with applicable data protection regulations such as GDPR or CCPA.
- **Copyrighted content:** Public text, descriptions, and visual assets are protected by intellectual property rights. Avoid directly duplicating or re-distributing full creative works.
- **Platform terms & rate limits:** Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to rate limits, and respecting published platform policies.
- **Disclaimer:** This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.

For a detailed guide, see Apify's legal overview: [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

## `query` (type: `string`):

Search text for Marketplace listings.

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

Marketplace category to search: actions or apps.

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## `proxyConfiguration` (type: `object`):

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "search",
  "query": "python",
  "type": "actions",
  "maxItems": 100,
  "requestDelaySecs": 2,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

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

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {
    "query": "python"
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/github-marketplace-actions-scraper").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 = { "query": "python" }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/github-marketplace-actions-scraper").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 '{
  "query": "python"
}' |
apify call kawsar/github-marketplace-actions-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/github-marketplace-actions-scraper"
        }
    }
}
```

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/oaksMAomq1D1XLkkk/builds/TWXgzUsvZtgSSbus0/openapi.json