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actionbook-scraper

Generate and verify web scraper scripts using Actionbook's verified selectors. Auto-validates generated scripts and fixes errors.

personAuthor: jakexiaohubgithub

Actionbook Scraper Skill

⚠️ CRITICAL: Two-Part Verification

Every generated script MUST pass BOTH checks:

| Check | What to Verify | Failure Example | |-------|----------------|-----------------| | Part 1: Script Runs | No errors, no timeouts | Selector not found | | Part 2: Data Correct | Content matches expected | Extracted "Click to expand" instead of name |

┌─────────────────────────────────────────────────────┐
│   1. Generate Script                                │
│          ↓                                          │
│   2. Execute Script                                 │
│          ↓                                          │
│   3. Check Part 1: Script runs without errors?      │
│          ↓                                          │
│   4. Check Part 2: Data content is correct?         │
│      - Not empty                                    │
│      - Not placeholder text ("Loading...")          │
│      - Not UI text ("Click to expand")              │
│      - Fields mapped correctly                      │
│          ↓                                          │
│      ┌───┴───┐                                      │
│   BOTH Pass  Either Fails                           │
│      │           │                                  │
│      │           ↓                                  │
│      │       Is it Actionbook data issue?           │
│      │           │                                  │
│      │       ┌───┴───┐                              │
│      │      Yes      No                             │
│      │       │       │                              │
│      │       ↓       ↓                              │
│      │    Log to   Fix script                       │
│      │    .actionbook-issues.log                    │
│      │       │       │                              │
│      │       └───┬───┘                              │
│      │           ↓                                  │
│      │       Retry (max 3x)                         │
│      ↓                                              │
│   Output Script                                     │
└─────────────────────────────────────────────────────┘

Default Output Format

/actionbook-scraper:generate <url>

DEFAULT = agent-browser script (bash commands)

agent-browser open "https://example.com"
agent-browser scroll down 2000
agent-browser get text ".selector"
agent-browser close

With --standalone Flag

/actionbook-scraper:generate <url> --standalone

Output = Playwright JavaScript code


Verification Requirements

Two-Part Verification

Every generated script must pass BOTH checks:

| Check | What to Verify | Failure Action | |-------|---------------|----------------| | 1. Script Runs | No errors, no timeouts | Fix syntax/selector errors | | 2. Data Correct | Content matches expected fields | Fix extraction logic |

Part 1: Script Execution Check

  • No runtime errors
  • No timeout errors
  • Browser closes properly

Part 2: Data Content Check (CRITICAL)

Verify extracted data matches the expected structure:

Expected: Company name, description, website, year founded
Actual:   "Click to expand", "Loading...", empty strings

→ FAIL: Data content incorrect, need to fix extraction logic

Data validation rules:

| Rule | Example Failure | Fix | |------|-----------------|-----| | Fields not empty | name: "" | Check selector targets correct element | | No placeholder text | name: "Loading..." | Add wait for dynamic content | | No UI text | name: "Click to expand" | Extract after expanding, not button text | | Correct data type | year: "View Details" | Wrong selector, fix field mapping | | Reasonable count | Expected ~100, got 3 | Add scroll/pagination handling |

For agent-browser Scripts

  1. Execute the generated commands
  2. Check script runs without errors
  3. Check data content is correct:
    • Fields match expected structure
    • Values are actual data, not UI text
    • Count is reasonable
  4. If failed:
    • Analyze what's wrong (script error vs data error)
    • Fix selector, wait logic, or extraction
    • Re-execute
  5. If success:
    • Output the verified script
    • Show data preview with field validation

For Playwright Scripts (--standalone)

  1. Write script to temp file
  2. Run with node script.js
  3. Check script runs without errors
  4. Check output data is correct:
    • JSON structure matches expected fields
    • Values contain actual data
    • Count matches expected range
  5. If failed:
    • Analyze error type
    • Fix script
    • Re-run
  6. If success:
    • Output the verified script

Architecture Overview

/generate <url>              → OUTPUT: agent-browser bash commands
/generate <url> --standalone → OUTPUT: Playwright .js file
┌─────────────────────────────────────────────────────────────┐
│                   /generate <url>                           │
│                                                             │
│   1. Search Actionbook → get selectors                      │
│   2. Generate OUTPUT:                                       │
│                                                             │
│      WITHOUT --standalone    │    WITH --standalone         │
│      ─────────────────────   │    ──────────────────        │
│      agent-browser commands  │    Playwright .js code       │
│                              │                              │
│      ```bash                 │    ```javascript             │
│      agent-browser open ...  │    const { chromium } = ...  │
│      agent-browser get ...   │    await page.goto(...)      │
│      agent-browser close     │    ```                       │
│      ```                     │                              │
└─────────────────────────────────────────────────────────────┘

Tool Priority

| Operation | Primary Tool | Fallback | Notes | |-----------|-------------|----------|-------| | Find selectors for URL | search_actions | None | Search by domain/keywords | | Get full selector details | get_action_by_id | None | Use action_id from search | | List available sources | list_sources | search_sources | Browse all indexed sites | | Generate agent-browser script | Agent (sonnet) | - | Default mode for /generate | | Generate Playwright script | Agent (sonnet) | - | Use --standalone flag | | Structure analysis | Agent (haiku) | - | Parse Actionbook response | | Request new website | agent-browser | Manual | Submit to actionbook.dev (ONLY command that executes agent-browser) |

Workflow Rules

CRITICAL: Generate → Verify → Fix

Every generated script MUST be verified by executing it.

| Step | Action | |------|--------| | 1 | Generate script with Actionbook selectors | | 2 | Execute script to verify it works | | 3 | If failed: analyze error, fix script, go to step 2 | | 4 | If success: output verified script + data preview |

Verification Process

For agent-browser scripts:

# Execute each command
agent-browser open "https://example.com"
agent-browser wait --load networkidle
agent-browser get text ".selector"
# Check if data is returned
# If error → fix and retry
agent-browser close

For Playwright scripts (--standalone):

# Write to temp file and execute
node /tmp/scraper.js
# Check if output file has data
# If error → fix and retry

Critical Rules

  1. ALWAYS verify generated scripts - Execute and check BOTH parts
  2. Part 1: Script must run - No errors, no timeouts
  3. Part 2: Data must be correct - Not empty, not UI text, fields mapped correctly
  4. Fix errors automatically - Don't output broken scripts or wrong data
  5. Use Actionbook MCP tools first - Never guess selectors
  6. Include scroll handling for lazy-loaded pages
  7. Include expand/collapse logic for card-based layouts
  8. Always close browser - Include agent-browser close
  9. Retry up to 3 times - If still failing, report the specific issue

Common Data Errors to Catch

| Error | Example | Fix | |-------|---------|-----| | Extracted button text | name: "Click to expand" | Extract content after expanding | | Extracted placeholder | desc: "Loading..." | Add wait for dynamic content | | Empty fields | name: "" | Fix selector | | Wrong field mapping | year: "San Francisco" | Fix selector for each field | | Too few items | Expected 100, got 3 | Add scroll/pagination |

Record Actionbook Data Issues

If Actionbook selectors are wrong or outdated, record to local file:

.actionbook-issues.log

When to record:

  • Selector doesn't exist on page
  • Selector returns wrong element
  • Page structure has changed
  • Missing selectors for key elements

Log format:

[YYYY-MM-DD HH:MM] URL: {url}
Action ID: {action_id}
Issue Type: {selector_error | outdated | missing}
Details: {description}
Selector: {selector}
Expected: {what it should select}
Actual: {what it actually selects or error}
---

Selector Priority

When Actionbook provides multiple selectors, prefer in this order:

  1. data-testid - Most stable, designed for automation
  2. aria-label - Accessibility-based, semantic
  3. css - Class-based selectors
  4. xpath - Last resort, most fragile

Commands

| Command | Description | Agent | |---------|-------------|-------| | /actionbook-scraper:analyze <url> | Analyze page structure and show available selectors | structure-analyzer | | /actionbook-scraper:generate <url> | Generate agent-browser scraper script | code-generator | | /actionbook-scraper:generate <url> --standalone | Generate Playwright/Puppeteer script | code-generator | | /actionbook-scraper:list-sources | List websites with Actionbook data | - | | /actionbook-scraper:request-website <url> | Request new website to be indexed (uses agent-browser) | website-requester |

Data Flow

Analyze Command

1. User: /actionbook-scraper:analyze https://example.com/page
2. Extract domain from URL → "example.com"
3. search_actions("example page") → [action_ids]
4. For best match: get_action_by_id(action_id) → full selector data
5. Structure-analyzer agent formats and presents findings

Generate Command (Default: agent-browser script)

User: /actionbook-scraper:generate https://example.com/page

Step 1: Search Actionbook
  search_actions("example.com page") → action_ids

Step 2: Get selectors
  get_action_by_id(best_match) → selectors

Step 3: Generate agent-browser script
  ```bash
  agent-browser open "https://example.com/page"
  agent-browser wait --load networkidle
  agent-browser scroll down 2000
  agent-browser get text ".item-container"
  agent-browser close

Step 4: VERIFY script (REQUIRED) Execute the commands and check if data is extracted If failed → analyze error → fix script → retry (max 3x)

Step 5: Return verified script + data preview


**Example Output:**
````markdown
## Verified Scraper (agent-browser)

**Status**: ✅ Verified (extracted 50 items)

Run these commands to scrape:

```bash
agent-browser open "https://example.com/page"
agent-browser wait --load networkidle
agent-browser scroll down 2000
agent-browser get text ".item-container"
agent-browser close

Data Preview

[
  {"name": "Item 1", "description": "..."},
  {"name": "Item 2", "description": "..."},
  // ... showing first 3 items
]

### Generate Command (--standalone: Playwright script)

```
User: /actionbook-scraper:generate https://example.com/page --standalone

Step 1: Search Actionbook for selectors
Step 2: Get full selector data
Step 3: Generate Playwright/Puppeteer script
Step 4: VERIFY script (REQUIRED)
  Write to temp file → node /tmp/scraper.js → check output
  If failed → analyze error → fix script → retry (max 3x)
Step 5: Return verified script + data preview
```

**Example Output:**
````markdown
## Verified Scraper (Playwright)

**Status**: ✅ Verified (extracted 50 items)

```javascript
const { chromium } = require('playwright');
// ... generated code with Actionbook selectors
```

Usage:
```bash
npm install playwright
node scraper.js
```

### Data Preview
```json
[
  {"name": "Item 1", "description": "..."},
  // ... first 3 items
]
```

Request Website Command

1. User: /actionbook-scraper:request-website https://newsite.com/page
2. Launch website-requester agent (uses agent-browser)
3. Agent workflow:
   a. agent-browser open "https://actionbook.dev/request-website"
   b. agent-browser snapshot -i (discover form selectors)
   c. agent-browser type <url-field> "https://newsite.com/page"
   d. agent-browser type <email-field> (optional)
   e. agent-browser type <usecase-field> (optional)
   f. agent-browser click <submit-button>
   g. agent-browser snapshot -i (verify submission)
   h. agent-browser close
4. Output: Confirmation of submission

Selector Data Structure

Actionbook returns selector data in this format:

{
  "url": "https://example.com/page",
  "title": "Page Title",
  "content": "## Selector Reference\n\n| Element | CSS | XPath | Type |\n..."
}

Common Selector Patterns

Card-based layouts:

Container: .card-list, .grid-container
Card item: .card, .list-item
Card name: .card__title, .card-name
Card description: .card__description
Expand button: .card__expand, button.expand

Detail extraction (dt/dd pattern):

// Common pattern for key-value pairs
const items = container.querySelectorAll('.info-item');
items.forEach(item => {
  const label = item.querySelector('dt').textContent;
  const value = item.querySelector('dd').textContent;
});

Table layouts:

Table: table, .data-table
Header: thead th, .table-header
Row: tbody tr, .table-row
Cell: td, .table-cell

Page Type Detection

| Indicator | Page Type | Template | |-----------|-----------|----------| | Scroll to load more | Dynamic/Infinite | playwright-js (with scroll) | | Click to expand | Card-based | playwright-js (with click) | | Pagination links | Paginated | playwright-js (with pagination) | | Static content | Static | puppeteer or playwright | | SPA framework detected | SPA | playwright-js (network idle) |

Output Formats

Analysis Output

## Page Analysis: {url}

### Matched Action
- **Action ID**: {action_id}
- **Confidence**: HIGH | MEDIUM | LOW

### Available Selectors

| Element | Selector | Type | Methods |
|---------|----------|------|---------|
| {name} | {selector} | {type} | {methods} |

### Page Structure
- **Type**: {static|dynamic|spa}
- **Data Pattern**: {cards|table|list}
- **Lazy Loading**: {yes|no}
- **Expand/Collapse**: {yes|no}

### Recommendations
- Suggested template: {template}
- Special handling needed: {notes}

Generated Code Output

## Generated Scraper

**Target URL**: {url}
**Template**: {template}
**Expected Output**: {description}

### Dependencies
```bash
npm install playwright

Code

{generated_code}

Usage

node scraper.js

Output

Results saved to {output_file}


## Templates Reference

| Template | Flag | Output | Run With |
|----------|------|--------|----------|
| **agent-browser** | (default) | CLI commands | `agent-browser` CLI |
| playwright-js | --standalone | .js file | `node scraper.js` |
| playwright-python | --standalone --template playwright-python | .py file | `python scraper.py` |
| puppeteer | --standalone --template puppeteer | .js file | `node scraper.js` |

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| No actions found | URL not indexed | Use `/actionbook-scraper:request-website` to request indexing |
| Selectors not working | Page updated | Report to Actionbook, try alternative selectors |
| Timeout | Slow page load | Increase timeout, add retry logic |
| Empty data | Dynamic content | Add scroll/wait handling |
| Form submission failed | Network/page issue | Retry or submit manually at actionbook.dev |

## agent-browser Usage

For the `request-website` command, the plugin uses **agent-browser CLI** to automate form submission.

### agent-browser Commands

```bash
# Open a URL
agent-browser open "https://actionbook.dev/request-website"

# Get page snapshot (discover selectors)
agent-browser snapshot -i

# Type into form field
agent-browser type "input[name='url']" "https://example.com"

# Click button
agent-browser click "button[type='submit']"

# Close browser (ALWAYS do this)
agent-browser close

Selector Discovery

If form selectors are unknown, use snapshot to discover them:

agent-browser open "https://actionbook.dev/request-website"
agent-browser snapshot -i  # Returns page structure with selectors

Always Close Browser

Critical: Always run agent-browser close at the end of any agent-browser session, even if errors occur.

Rate Limiting

  • Actionbook MCP: No rate limit for local usage
  • Target websites: Respect robots.txt and add delays between requests
  • Recommended: 1-2 second delay between page requests

Examples

Example 1: Generate agent-browser Script (Default)

/actionbook-scraper:generate https://firstround.com/companies

Output: agent-browser commands
```bash
agent-browser open "https://firstround.com/companies"
agent-browser scroll down 2000
agent-browser get text ".company-list-card-small"
agent-browser close

User runs these commands to scrape.


### Example 2: Generate Playwright Script

/actionbook-scraper:generate https://firstround.com/companies --standalone

Output: Playwright JavaScript code

const { chromium } = require('playwright');
// ... full script

User runs: node scraper.js


### Example 3: Analyze Page Structure

/actionbook-scraper:analyze https://example.com/products

Output: Analysis showing:

  • Available selectors
  • Page structure
  • Recommended approach

### Example 4: Request New Website

/actionbook-scraper:request-website https://newsite.com/data

Action: Submits form to actionbook.dev (this command DOES execute agent-browser)


## Best Practices

1. **Always analyze before generating** - Understand the page structure first
2. **Check list-sources** - Verify the site is indexed before attempting
3. **Review generated code** - Verify selectors match expected elements
4. **Add appropriate delays** - Be respectful to target servers
5. **Handle edge cases** - Empty states, loading states, errors
6. **Test incrementally** - Run on small subset before full scrape