# User Agent Parser — Browser, OS & Device (`hipersoft/user-agent-parser`) Actor

Parse a list of user-agent strings into browser, engine, OS, device type and bot classification. Turn raw UA columns from logs and analytics into clean dimensions.

- **URL**: https://apify.com/hipersoft/user-agent-parser.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00025 / ua parsed

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/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

## User Agent Parser — Browser, OS & Device (Bulk)

**Parse user-agent strings into browser, engine, OS, device type and bot classification** — in bulk. Turn raw UA columns from server logs and analytics into clean, structured dimensions for reporting and segmentation.

### What it does

- Detects **browser + version, engine, OS + version**.
- Classifies **device type** (mobile / tablet / desktop) and **vendor/model**.
- Flags **bots and crawlers**.

### Use cases

- **Analytics** — break raw UA strings into clean columns.
- **Log processing** — enrich access logs with device/browser data.
- **Bot filtering** — separate crawler traffic from real users.

### Input

```json
{ "userAgents": ["Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 ...) Safari/604.1", "Googlebot/2.1 (+http://www.google.com/bot.html)"] }
```

| Field | Type | Description |
|---|---|---|
| `userAgents` | array | User-agent strings to parse. |

### Output

```json
{ "browser": "Mobile Safari", "browserVersion": "17.0", "os": "iOS", "osVersion": "17.0", "deviceType": "mobile", "deviceVendor": "Apple", "isBot": false }
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `browser` | string | Browser name. |
| `os` | string | Operating system. |
| `deviceType` | string | mobile / tablet / desktop / bot. |
| `isBot` | boolean | Whether it looks like a bot/crawler. |

### FAQ

**Can I automate it?** Yes — via [integrations on the Apify platform](https://apify.com/integrations) and the [Apify API](https://docs.apify.com/api/v2).

### Notes

Original clean-room implementation.

# Actor input Schema

## `userAgents` (type: `array`):

User-agent strings to parse. One parsed row per string.

## Actor input object example

```json
{
  "userAgents": [
    "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1",
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0 Safari/537.36",
    "Googlebot/2.1 (+http://www.google.com/bot.html)"
  ]
}
```

# Actor output Schema

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

The results as dataset items.

# 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 = {
    "userAgents": [
        "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1",
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0 Safari/537.36",
        "Googlebot/2.1 (+http://www.google.com/bot.html)"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/user-agent-parser").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 = { "userAgents": [
        "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1",
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0 Safari/537.36",
        "Googlebot/2.1 (+http://www.google.com/bot.html)",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/user-agent-parser").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 '{
  "userAgents": [
    "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1",
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0 Safari/537.36",
    "Googlebot/2.1 (+http://www.google.com/bot.html)"
  ]
}' |
apify call hipersoft/user-agent-parser --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/user-agent-parser"
        }
    }
}

```

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/kpYsVPvGqhnYjln8G/builds/644uon9An2VJWWH2h/openapi.json