# Bundlephobia Scraper - npm Bundle Size & Dependencies (`ninhothedev/bundlephobia-scraper`) Actor

$0.5/1K 🔥 Bundlephobia scraper! npm package bundle size, gzip & dependency count. No key. JSON, CSV, Excel or API in seconds. Audit JS bundle size & perf budgets ⚡

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

## Pricing

from $0.75 / 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/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

## Bundlephobia Scraper 📦

**Know the real cost of every npm dependency — before you ship it.**

Bundlephobia Scraper resolves any npm package into its **minified size**, **gzip size**, **dependency count** and a **dependency-size breakdown**, straight from [Bundlephobia](https://bundlephobia.com). No API key, no login, no browser automation — just clean structured JSON you can drop into a CI pipeline, a spreadsheet, or a performance budget.

Feed it a list of package names (optionally pinned to a version like `react@18.2.0`) and get one tidy dataset row per package.

***

### 💡 Why use this actor?

- **No API key required** — public data, zero auth friction.
- **Minified + gzip sizes** in both bytes and KB, ready to chart.
- **Dependency count + top-10 dependency sizes** to spot bloat.
- **Version-aware** — pin an exact version or take the latest.
- **Fast & cheap** — concurrent batches, ~**$0.50 per 1,000 packages**.
- **CI-friendly output** — flat, permissive JSON that maps to any tool.

***

### 🚀 Use cases

- **JavaScript bundle analysis** — compare libraries before adding them.
- **Dependency audits** — flag heavyweight transitive dependencies.
- **Performance budgets** — enforce size limits in CI/CD.
- **Developer tooling** — power dashboards, linters and PR bots.

***

### 🛠 Input

| Field | Type | Description |
|-------|------|-------------|
| `mode` | select | Scraping mode. Currently `packages` (resolve by name). |
| `packages` | array | npm package names. Optionally `name@version`. Prefilled with `react`, `lodash`, `axios`. |
| `maxItems` | integer | Max packages per run (default `100`, max `1000`). |

#### Example input

```json
{
  "mode": "packages",
  "packages": ["react", "lodash", "axios@1.7.2", "next"],
  "maxItems": 100
}
```

***

### 📤 Output

One dataset item per package:

```json
{
  "name": "react",
  "version": "19.2.8",
  "min_size_bytes": 7595,
  "min_size_kb": 7.42,
  "gzip_bytes": 2910,
  "gzip_kb": 2.84,
  "dependency_count": 0,
  "has_side_effects": true,
  "repository": "https://github.com/react/react.git",
  "description": "React is a JavaScript library for building user interfaces.",
  "top_dependencies": [{ "name": "react", "approximateSize": 7813 }],
  "url": "https://bundlephobia.com/package/react",
  "source": "bundlephobia",
  "scraped_at": "2026-07-25T00:00:00+00:00"
}
```

***

### 🔗 Related actors

- [npm Package Scraper](https://apify.com/ninhothedev/npm-package-scraper)
- [npms Search Scraper](https://apify.com/ninhothedev/npms-search-scraper)
- [pkg.go.dev Scraper](https://apify.com/ninhothedev/pkg-go-dev-scraper)
- [GitHub Scraper](https://apify.com/ninhothedev/github-scraper)

***

### ⚖️ Notes

This actor uses Bundlephobia's public, unauthenticated `size` API. Cold packages
are built on demand and may take a few seconds; the actor retries automatically.
Only publicly available package metadata is collected.

# Actor input Schema

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

Scraping mode. 'packages' resolves a list of npm package names into bundle-size records.

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

npm package names to look up. Optionally pin a version with name@version (e.g. react@18.2.0). Each entry produces one dataset item.

## `maxItems` (type: `integer`):

Maximum number of packages to resolve in a single run. Extra entries beyond this limit are ignored.

## Actor input object example

```json
{
  "mode": "packages",
  "packages": [
    "react",
    "lodash",
    "axios"
  ],
  "maxItems": 100
}
```

# 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": [
        "react",
        "lodash",
        "axios"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/bundlephobia-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 = { "packages": [
        "react",
        "lodash",
        "axios",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/bundlephobia-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 '{
  "packages": [
    "react",
    "lodash",
    "axios"
  ]
}' |
apify call ninhothedev/bundlephobia-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/xSxsprV0Ire7bjuPh/builds/J5VZOktf4SWfYFUYR/openapi.json