# PyPI Package Scraper API - Releases, Metadata & Dependencies (`pink_comic/pypi-package-intelligence`) Actor

Search canonical PyPI JSON metadata for package releases, dependencies, Python requirements, classifiers, license declarations, yanked files, upload dates, hashes, project links, and release age. Built for dependency review, release monitoring, and package inventory workflows.

- **URL**: https://apify.com/pink\_comic/pypi-package-intelligence.md
- **Developed by:** [Ava Torres](https://apify.com/pink_comic) (community)
- **Categories:** Developer tools, AI, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 pypi package intelligence scraper api - releases & evidence items

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 Package Intelligence Scraper API

Search canonical PyPI JSON metadata for package releases, dependencies, extras, Python requirements, classifiers, license declarations, project status, upload dates, yanked files, hashes, file types, sizes, links, and release age.

Empty input returns one current `requests` release for at most **$0.0021** (`$0.0001` start + `$0.002/item`). Package/version/history/file/dependency/output work is bounded and explicit `FOUND`, `NO_MATCH`, and `SOURCE_UNAVAILABLE` outcomes prevent silent ambiguity.

```json
{"packages":["requests"],"includeHistory":true,"maxReleases":5,"maxResults":5}
```

PyPI metadata is publisher supplied. It is not proof of safety, compatibility, support, provenance, vulnerability status, authenticity, installability, or a legal license conclusion. Inspect artifacts, source, dependency resolution, advisories, attestations/signatures where available, and license terms before consequential use.

# Actor input Schema

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

One to 20 exact PyPI package names.

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

Exact release version. Requires exactly one package.

## `includeHistory` (type: `boolean`):

Return newest bounded releases instead of only the current release.

## `maxReleases` (type: `integer`):

History candidate bound per package.

## `maxFiles` (type: `integer`):

Bound returned wheels/sdists while retaining total and truncation evidence.

## `maxDependencies` (type: `integer`):

Bound requires-dist declarations while retaining truncation evidence.

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

Case-insensitive classifier substring, such as Programming Language :: Python :: 3.

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

Case-insensitive requires\_python substring.

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

Case-insensitive publisher license text or License classifier substring. Not a legal conclusion.

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

Filter by whether any release file is marked yanked.

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

YYYY-MM-DD, evaluated against valid release-file upload dates.

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

YYYY-MM-DD, evaluated against valid release-file upload dates.

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

Case-insensitive requires-dist substring.

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

Case-insensitive provided-extra substring.

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

Development Status classifier substring, such as Production/Stable.

## `maxResults` (type: `integer`):

Total paid output cap across all packages. The default first run returns one item even though this allows larger custom lists.

## Actor input object example

```json
{
  "packages": [
    "requests"
  ],
  "version": "",
  "includeHistory": false,
  "maxReleases": 10,
  "maxFiles": 20,
  "maxDependencies": 100,
  "classifier": "",
  "pythonRequirement": "",
  "licenseKeyword": "",
  "yankedStatus": "all",
  "uploadedFrom": "",
  "uploadedTo": "",
  "dependencyKeyword": "",
  "extraKeyword": "",
  "projectStatus": "",
  "maxResults": 1
}
```

# 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"
    ],
    "maxResults": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("pink_comic/pypi-package-intelligence").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"],
    "maxResults": 1,
}

# Run the Actor and wait for it to finish
run = client.actor("pink_comic/pypi-package-intelligence").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 '{
  "packages": [
    "requests"
  ],
  "maxResults": 1
}' |
apify call pink_comic/pypi-package-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pink_comic/pypi-package-intelligence"
        }
    }
}

```

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/IbDsPtW2DbpmM3Yxh/builds/UU5D9paaunstsNqgw/openapi.json