# crates.io Package Trend Scraper (`seeb/crates-package-trend-scraper`) Actor

Scrape crates.io package data with download counts, versions, repository links, descriptions, and developer adoption signals.

- **URL**: https://apify.com/seeb/crates-package-trend-scraper.md
- **Developed by:** [Techionik](https://apify.com/seeb) (community)
- **Categories:** News, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 crates.io package rows

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

## crates.io Package Trend Scraper

Find Rust crates for package discovery, dependency research, SDK tracking, competitor change detection, and Rust ecosystem intelligence.

This Actor uses the public crates.io API. It is fast, low-cost, and does not need a proxy by default.

### What It Returns

- Crate name, description, and crates.io URL
- Repository, homepage, documentation URL
- Latest version, newest version, version count
- All-time downloads and recent downloads
- Created and updated timestamps
- Source query and matched query terms
- Change Detection mode for newly discovered crates

### Common Uses

- Discover Rust packages in a category
- Track SDKs and developer ecosystems
- Research open-source competitors
- Scraper dependency/package trends
- Find repositories around Rust tooling
- Build developer market intelligence datasets

### Input Tips

Use focused package/category terms:

- `openai sdk`
- `web scraper`
- `postgres orm`
- `async runtime`
- `blockchain wallet`
- `cli parser`

Use `maxResultsPerQuery` when you provide several queries and want balanced output.

### Result Limits

`maxResults` is a maximum cap, not a guarantee. The Actor only writes crates that pass your relevance and download filters.

The minimum `maxResults` is 50 so runs are commercially practical and users are charged for meaningful output.

### Change Detection

Enable `monitorChanges` to compare the current run against the previous snapshot in the Actor key-value store.

When `onlyChanges` is enabled, the dataset contains only newly detected crates. When it is disabled, the dataset contains the current full result set while the change snapshot is still stored for automation.

### Proxy Use

No proxy is needed by default. This Actor uses the public crates.io API and does not run a browser.

### Output

Each dataset row represents one Rust crate. The primary output event is one dataset row.

### Notes

This Actor is not affiliated with crates.io or the Rust Foundation. It reads public crates.io API results and stores structured rows in your Apify dataset.

# Actor input Schema

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

Rust crate search terms. Use categories, SDKs, frameworks, competitors, or technical problem keywords.

## `sort` (type: `string`):

Relevance is best for package discovery. Recent downloads can surface momentum.

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

Maximum crate rows to write for the whole run. The minimum is 50 for better marketplace economics.

## `maxResultsPerQuery` (type: `integer`):

Optional cap per query so one broad keyword does not fill the entire run. Use 0 for no query cap.

## `pagesPerQuery` (type: `integer`):

How many crates.io API pages to scan per query. Each page requests up to 100 crates.

## `minimumDownloads` (type: `integer`):

Only include crates with at least this many all-time downloads. Use 0 to keep all matches.

## `minimumRelevanceScore` (type: `integer`):

Minimum number of meaningful query terms that must appear in crate name, description, repository, or keywords.

## `monitorChanges` (type: `boolean`):

Compare against the previous saved snapshot and detect newly found crates.

## `onlyChanges` (type: `boolean`):

When change detection is enabled, write only newly detected crates to the dataset.

## Actor input object example

```json
{
  "searchQueries": [
    "async runtime",
    "blockchain wallet",
    "cli parser"
  ],
  "sort": "relevance",
  "maxResults": 100,
  "maxResultsPerQuery": 0,
  "pagesPerQuery": 2,
  "minimumDownloads": 0,
  "minimumRelevanceScore": 1,
  "monitorChanges": false,
  "onlyChanges": false
}
```

# Actor output Schema

## `results` (type: `string`):

Normal runs contain Rust crate rows. When output-only-changes is enabled, rows contain newly detected crates.

# 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 = {
    "searchQueries": [
        "openai sdk",
        "web scraper",
        "postgres orm"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seeb/crates-package-trend-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 = { "searchQueries": [
        "openai sdk",
        "web scraper",
        "postgres orm",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("seeb/crates-package-trend-scraper").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 '{
  "searchQueries": [
    "openai sdk",
    "web scraper",
    "postgres orm"
  ]
}' |
apify call seeb/crates-package-trend-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZGScnzUK7xCgWGPCh/builds/UB1z5fYy3gpAlhCgo/openapi.json