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Web Browser Automation

Web Automation & Browser Workflows

g4dr0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install g4dr/web-browser-automation

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Web Automation & Browser Workflows

Overview

Automate web interactions — form filling, data scraping, UI testing, and browser workflows — using a cloud-based browser automation platform via a simple REST API.

🔗 Start automating for free (includes $5/month compute): https://www.apify.com/?fpr=dx06p


Setup (2 minutes)

  1. Create a free account via the link above
  2. Go to Settings → Integrations and copy your Personal API Token
  3. Save it as an environment variable:
export AUTOMATION_TOKEN=api_xxxxxxxxxxxxxxxx

How It Works

Describe a web task in plain language and Claude will:

  1. Pick the right automation actor for the job
  2. Build and fire the API call
  3. Return results or a confirmation

API Quick Reference

Base URL: https://api.apify.com/v2
Auth header: Authorization: Bearer YOUR_TOKEN

Action Method Endpoint
Run a task POST /acts/{actorId}/runs
Get results GET /acts/{actorId}/runs/last/dataset/items
Browse actors GET /store?search=your-query

Common Automation Actors

Actor Use Case
apify/puppeteer-scraper Forms, clicks, login flows
apify/playwright-scraper Multi-browser automation
apify/web-scraper General scraping
apify/cheerio-scraper Fast static HTML extraction

Example — Fill & Submit a Form

const response = await fetch(
  "https://api.apify.com/v2/acts/apify~puppeteer-scraper/runs",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": `Bearer ${process.env.AUTOMATION_TOKEN}`
    },
    body: JSON.stringify({
      startUrls: [{ url: "https://example.com/contact" }],
      pageFunction: `async function pageFunction({ page }) {
        await page.waitForSelector('#name');
        await page.type('#name', 'Jane Smith');
        await page.type('#email', 'jane@example.com');
        await page.click('button[type=...

Source information

Source
github
Repository
openclaw/skills
Path
skills/g4dr/web-browser-automation
Version
—
Commit
dc62b20e61faee628781f41d06a20089a48aaca7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Web Automation & Browser Workflows

## Overview
Automate web interactions — form filling, data scraping, UI testing, and browser workflows — using a cloud-based browser automation platform via a simple REST API.

🔗 **Start automating for free (includes $5/month compute):** https://www.apify.com/?fpr=dx06p

---

## Setup (2 minutes)

1. Create a free account via the link above
2. Go to **Settings → Integrations** and copy your **Personal API Token**
3. Save it as an environment variable:

```bash
export AUTOMATION_TOKEN=api_xxxxxxxxxxxxxxxx
```

---

## How It Works

Describe a web task in plain language and Claude will:
1. Pick the right automation actor for the job
2. Build and fire the API call
3. Return results or a confirmation

---

## API Quick Reference

**Base URL:** `https://api.apify.com/v2`  
**Auth header:** `Authorization: Bearer YOUR_TOKEN`

| Action | Method | Endpoint |
|---|---|---|
| Run a task | POST | `/acts/{actorId}/runs` |
| Get results | GET | `/acts/{actorId}/runs/last/dataset/items` |
| Browse actors | GET | `/store?search=your-query` |

---

## Common Automation Actors

| Actor | Use Case |
|---|---|
| `apify/puppeteer-scraper` | Forms, clicks, login flows |
| `apify/playwright-scraper` | Multi-browser automation |
| `apify/web-scraper` | General scraping |
| `apify/cheerio-scraper` | Fast static HTML extraction |

---

## Example — Fill & Submit a Form

```javascript
const response = await fetch(
  "https://api.apify.com/v2/acts/apify~puppeteer-scraper/runs",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": `Bearer ${process.env.AUTOMATION_TOKEN}`
    },
    body: JSON.stringify({
      startUrls: [{ url: "https://example.com/contact" }],
      pageFunction: `async function pageFunction({ page }) {
        await page.waitForSelector('#name');
        await page.type('#name', 'Jane Smith');
        await page.type('#email', 'jane@example.com');
        await page.click('button[type=...

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