# PyPI Python Package Scraper (`lulzasaur/pypi-scraper`) Actor

Scrape PyPI Python package metadata. Search packages or fetch details by name. Extract versions, authors, dependencies, classifiers, project URLs, and release history.

- **URL**: https://apify.com/lulzasaur/pypi-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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?

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

## PyPI Python Package Scraper

Scrape Python package metadata from PyPI (Python Package Index). Search packages by keyword or fetch detailed metadata for specific package names.

### Features

- **Search mode**: Search PyPI by keyword, scrapes search results pages
- **Package mode**: Fetch full details for specific package names via the JSON API
- **Rich metadata**: Versions, authors, classifiers, project URLs, Python version requirements
- **Release history**: Total release count for each package

### Output Fields

| Field | Description |
|-------|-------------|
| name | Package name |
| version | Latest version |
| summary | Short description |
| description | Full description (truncated to 500 chars) |
| author | Author name |
| authorEmail | Author email |
| license | License type |
| homepage | Homepage URL |
| projectUrls | Map of project URLs (docs, source, etc.) |
| requiresPython | Python version requirement |
| keywords | Package keywords array |
| classifiers | PyPI classifiers array |
| releases | Total number of releases |
| created | Date of first release |
| sourceUrl | PyPI package URL |
| scrapedAt | Scrape timestamp |

### Usage Examples

#### Search for Django packages

```json
{
    "mode": "search",
    "searchQueries": ["django", "flask"],
    "limit": 50
}
```

#### Fetch specific packages

```json
{
    "mode": "package",
    "packageNames": ["requests", "numpy", "pandas"]
}
```

### Cost

This actor uses pay-per-event pricing. You are charged $0.005 per result returned.

# Actor input Schema

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

Search for packages by keyword, or fetch details for specific package names.

## `searchQueries` (type: `array`):

Keywords to search for (search mode). E.g. \['django', 'flask'].

## `packageNames` (type: `array`):

Specific package names to fetch (package mode). E.g. \['requests', 'numpy'].

## `limit` (type: `integer`):

Maximum packages to return per search query.

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

Optional proxy to use.

## Actor input object example

```json
{
  "mode": "search",
  "searchQueries": [
    "django"
  ],
  "packageNames": [],
  "limit": 50
}
```

# 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("lulzasaur/pypi-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/pypi-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 '{}' |
apify call lulzasaur/pypi-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/pypi-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/i7Vx3KMerrw2t4dKj/builds/LghgxHVGKeGJGdynb/openapi.json