# PyPI Package Download Statistics and Velocity Radar (`adaptive_nightmare/pypi-download-stats-radar`) Actor

Extract PyPI Package Download Statistics and Velocity data in clean JSON or CSV. Query by package 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/pypi-download-stats-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Developer tools, Open source, Business
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.95 / 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

## PyPI Package Download Statistics and Velocity Radar

Track daily, weekly, and monthly download volume across Python packages on PyPI to measure developer adoption and ecosystem growth.

### Features

- Scrapes aggregated download telemetry generated by pip installations globally.
- Gathers exact 24-hour, 7-day, and 30-day download metrics without API tokens.
- Calculates annualized average daily download rates automatically.
- Generates direct reference links to official PyPI project homepages and PyPI Stats dashboards.
- Operates via public JSON endpoints with zero proxy overhead.
- Delivers clean records formatted for export to JSON, CSV, Excel, or analytics dashboards.

### Input parameters

- Python Package Name: Valid package name registered on the Python Package Index (such as requests, fastapi, or numpy). Default is requests.

### Output dataset fields

Each dataset record contains:

- package: Standardized lowercase package name.
- lastDayDownloads: Total successful download events across the preceding 24 hours.
- lastWeekDownloads: Cumulative downloads over the preceding 7 calendar days.
- lastMonthDownloads: Cumulative downloads over the preceding 30 calendar days.
- averageDailyDownloads: Calculated average daily download rate across 30 days.
- pypiUrl: Direct link to the package repository page on pypi.org.
- pypistatsUrl: Direct link to detailed analytics on pypistats.org.
- scrapedAt: UTC timestamp when the data was extracted.

### Use cases

- Open source health monitoring: Benchmark competitor framework adoption rates (such as Flask versus FastAPI).
- Corporate security audits: Confirm whether external dependencies maintain widespread active usage.
- Investor research: Track adoption velocity for venture-backed developer infrastructure companies.

# Actor input Schema

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

Package name registered on PyPI (for example: requests, flask, fastapi, pydantic, or numpy).

## Actor input object example

```json
{
  "package": "requests"
}
```

# 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/pypi-download-stats-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/pypi-download-stats-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/pypi-download-stats-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/pypi-download-stats-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/P3PDunscm18JYTP4z/builds/CiJt5Z0WPjLwKCKrj/openapi.json