# PyPI Package Data — Metadata & Download Stats (`omao/pypi-package`) Actor

Get PyPI package data: version, summary, license, author, repository, Python requirement, dependencies, classifiers and recent download counts. Powered by the official PyPI and pypistats APIs. No API key, no anti-bot.

- **URL**: https://apify.com/omao/pypi-package.md
- **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.72 / 1,000 packages

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/platform/actors/running/actors-in-store#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 Package Data — Metadata & Download Stats to JSON

**Get clean data for any PyPI (Python) package — as JSON.** Pass package names and get back a tidy row per package: latest version, summary, license, author, repository, Python requirement, dependencies and classifiers. Straight from the official PyPI API, with optional best-effort download counts. No API key, no anti-bot.

Skip scraping pypi.org — pull structured package data for dashboards, research and dependency audits.

### Who uses this

- 🐍 **Python developers** — inventory and compare packages.
- 🔐 **Security & supply-chain teams** — audit licenses, deps and Python requirements.
- 📊 **Analysts & researchers** — study the Python ecosystem at scale.
- 🤖 **Data & AI pipelines** — feed clean package metadata into your tooling.
- 📈 **DevRel & competitive intel** — track a package's releases and popularity.

### What you get — one clean row per package

| Field | Description |
|---|---|
| `name` + `version` | Package & latest version |
| `summary` | Short description |
| `license` | License |
| `author` + `homepage` + `repository` | Author & links |
| `requiresPython` | Python version requirement |
| `keywords` + `classifiers` | Tags & trove classifiers |
| `dependenciesCount` + `dependencies` | Dependencies |
| `versionsCount` + `yanked` | Release info |
| `downloadsLastDay/Week/Month` | Optional download counts |
| `pypiUrl` | Link to the PyPI page |

### Example

**Input**

```json
{ "packages": ["requests", "numpy", "fastapi"], "includeDownloads": true }
```

**Output (one item)**

```json
{
  "name": "requests", "version": "2.32.3",
  "summary": "Python HTTP for Humans.",
  "license": "Apache-2.0", "author": "Kenneth Reitz",
  "requiresPython": ">=3.8",
  "dependenciesCount": 5, "versionsCount": 150,
  "downloadsLastMonth": 640000000,
  "pypiUrl": "https://pypi.org/project/requests/"
}
```

### Why this actor

- ✅ **Official source** — the PyPI API, always current.
- 🐍 **Rich metadata** — version, license, Python requirement, deps, classifiers.
- 📈 **Optional download stats** — best-effort counts from pypistats.
- ⚡ **Fast & affordable** — pay only per package returned. No key, no anti-bot.
- 🧹 **Clean output** — normalized JSON, ready for Sheets/Excel/your database.

### Input options

- `packages` *(required)* — PyPI package names.
- `includeDownloads` — also try to fetch recent download counts (best-effort).

### FAQ

**Do I get download counts?** Optionally — set `includeDownloads` (best-effort via pypistats).

**What metadata is included?** Version, summary, license, author, repository, Python requirement, dependencies and classifiers.

**How fresh is the data?** Live from the PyPI API on every run.

**Can I query many packages at once?** Yes — pass a list; every row carries its own package name.

**Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

**What does it cost?** Pay-per-package — you're only charged for packages actually returned.

***

*Tip: run your `requirements.txt` names through this to audit licenses and Python requirements in one dataset.*

# Actor input Schema

## `packages` (type: `array`):

PyPI package names to fetch.

## `includeDownloads` (type: `boolean`):

Also try to fetch recent download counts from pypistats.org. Best-effort only: pypistats is a community service that rate-limits (429), so counts may be null.

## `healthCheckMode` (type: `boolean`):

Internal monitoring: fetch a canary package and FAIL if broken (no billing).

## Actor input object example

```json
{
  "packages": [
    "numpy",
    "fastapi"
  ],
  "includeDownloads": false,
  "healthCheckMode": false
}
```

# Actor output Schema

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

All packages with version, license, dependencies and downloads.

# 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 = {
    "packages": [
        "requests"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("omao/pypi-package").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 = { "packages": ["requests"] }

# Run the Actor and wait for it to finish
run = client.actor("omao/pypi-package").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "packages": [
    "requests"
  ]
}' |
apify call omao/pypi-package --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=omao/pypi-package",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PqGRjRRGTaiQsjiTk/builds/WN7RobsOGitUzmbin/openapi.json