# JupyterLab Extensions Scraper — npm Dataset (`confidential_marina/jupyterlab-extensions-scraper`) Actor

JupyterLab extensions dataset: discover ~1,000 JupyterLab extensions on npm with weekly downloads, versions, publishers, keywords and repos. Fast, no login.

- **URL**: https://apify.com/confidential_marina/jupyterlab-extensions-scraper.md
- **Developed by:** [Kaleb Holley](https://apify.com/confidential_marina) (community)
- **Categories:** Developer tools, Open source
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## JupyterLab Extensions Scraper (npm)

Discover **[JupyterLab](https://jupyter.org) extensions** published on the public npm registry (about 1,000 packages tagged `jupyterlab-extension`) as clean, structured data: package name, version, description, publisher, **weekly downloads**, npm search score, repository, homepage, keywords and last-publish date.

There is no other JupyterLab extensions scraper on Apify Store. If you build Jupyter tooling, research the data-science developer ecosystem, or track which extensions people actually install, this Actor gives you the list in seconds.

### What can it do?

- **Catalog discovery.** Searches npm for every package tagged `jupyterlab-extension`, `jupyterlab-featureregistry` or "jupyterlab extension" and de-duplicates the results.
- **Real download numbers.** Weekly downloads for every package, with a fallback to npm's official downloads API when the search result has none.
- **Keyword search.** Filter by name, description or keyword (for example `git`, `ai`, `theme`, `sql`).
- **Download threshold.** Keep only packages above a minimum weekly download count.
- **Sort.** Most downloaded, name A-Z, or recently updated.
- **Clean repo links.** `git+https://…/repo.git` is normalized to a plain browsable URL.
- **No browser, no proxy, no login.** Public npm JSON APIs only. Runs in seconds on 256 MB.

### Use cases

- Extension authors benchmarking downloads against competing extensions
- Data-science tooling market research (AI assistants, SQL, Git, themes, viewers)
- Lead lists of open-source maintainers and their repositories
- Spotting abandoned extensions (sort by `updated`) to fork or replace
- Scheduled weekly snapshots to chart adoption over time

### Input

| Field | Type | Description |
|---|---|---|
| `searchQuery` | string | Optional keyword. Empty = all JupyterLab extensions found. |
| `minWeeklyDownloads` | integer | Skip packages below this weekly download count. |
| `sortBy` | `downloads` / `name` / `updated` | Result order. |
| `maxItems` | integer | Max results (default 100; set 2000 for everything). |

Example: Git-related extensions, most downloaded first:

```json
{ "searchQuery": "git", "sortBy": "downloads", "maxItems": 50 }
```

### Output

```json
{
  "name": "@jupyterlab/git",
  "version": "0.55.0",
  "description": "A JupyterLab extension for version control using git",
  "publisher": "GitHub Actions",
  "weeklyDownloads": 928,
  "score": 197.21,
  "repositoryUrl": "https://github.com/jupyterlab/jupyterlab-git",
  "npmUrl": "https://www.npmjs.com/package/@jupyterlab/git",
  "homepage": "https://github.com/jupyterlab/jupyterlab-git",
  "keywords": ["Jupyter", "JupyterLab", "jupyterlab-extension", "Git"],
  "updatedAt": "2026-10-07T12:27:54.239Z",
  "scrapedAt": "2026-10-14T07:29:48+00:00"
}
```

Export to JSON, CSV, Excel, XML or HTML, or pull results through the Apify API, webhooks, Make, Zapier or n8n.

### Pricing

Free to use right now: you pay only the tiny Apify platform usage of your own run (a typical run uses well under $0.01). Pay-per-result pricing may be added later, with advance notice as Apify requires.

### FAQ

**Is it legal?** The Actor reads only public package metadata from the official npm registry search API and the npm downloads API, the same data shown on npmjs.com. It collects no personal data beyond the public publisher usernames on each package.

**Does it include Python-only (PyPI) extensions?** Prebuilt JupyterLab 4 extensions are distributed through PyPI but almost all publish their frontend package to npm too, so they usually appear here. Pure-Python server extensions without an npm package are not included.

**Why "about 1,000"?** npm's search API returns at most 1,000 results per query. The Actor runs several keyword queries and merges them to maximize coverage.

**Something broken or a field missing?** Open an issue on the Actor's Issues tab.

# Actor input Schema

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

Added to the npm search query (optional).

## `minWeeklyDownloads` (type: `integer`):

Skip packages below this weekly download count.

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

Order of results.

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

Maximum extensions to output.

## Actor input object example

```json
{
  "minWeeklyDownloads": 0,
  "sortBy": "downloads",
  "maxItems": 100
}
```

# 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 = {
    "searchQuery": "",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("confidential_marina/jupyterlab-extensions-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 = {
    "searchQuery": "",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("confidential_marina/jupyterlab-extensions-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 '{
  "searchQuery": "",
  "maxItems": 100
}' |
apify call confidential_marina/jupyterlab-extensions-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,confidential_marina/jupyterlab-extensions-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/ieLbQ4sGR2UkEUygc/builds/kfYRFFIE5U5UsxbaT/openapi.json