Metadata-Version: 2.4
Name: azcrawlerpy
Version: 0.1.1
Summary: Agentic Crawler Discovery Framework.
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: <3.12,>=3.11.10
Description-Content-Type: text/markdown
Requires-Dist: playwright==1.48.0
Requires-Dist: pydantic>=2.11.10
Provides-Extra: dev
Requires-Dist: pytest==8.4.2; extra == "dev"
Requires-Dist: pytest-asyncio==1.0.0; extra == "dev"
Requires-Dist: pytest-mock==3.14.1; extra == "dev"
Requires-Dist: pytest-cov>=4.1.0; extra == "dev"
Requires-Dist: playwright==1.48.0; extra == "dev"

# azcrawlerpy

A Playwright-based framework for navigating and filling multi-step web forms programmatically. The framework uses JSON instruction files to define form navigation workflows, making it ideal for automated form submission, web scraping, and AI agent-driven web interactions.

## Table of Contents

- [Installation](#installation)
- [Quick Start](#quick-start)
- [Core Concepts](#core-concepts)
- [Instructions Schema](#instructions-schema)
  - [Top-Level Structure](#top-level-structure)
  - [Browser Configuration](#browser-configuration)
  - [Cookie Consent Handling](#cookie-consent-handling)
  - [Step Definitions](#step-definitions)
  - [Field Types](#field-types)
  - [Action Types](#action-types)
  - [Final Page Configuration](#final-page-configuration)
  - [Data Extraction Configuration](#data-extraction-configuration)
- [Data Points (input_data)](#data-points-input_data)
- [Element Discovery](#element-discovery)
- [AI Agent Guidance](#ai-agent-guidance)
- [Error Handling and Diagnostics](#error-handling-and-diagnostics)
- [Examples](#examples)

## Installation

```bash
uv add azcrawlerpy
```

Or install from source:

```bash
uv pip install -e .
```

## Quick Start

```python
import asyncio
from pathlib import Path
from azcrawlerpy import FormCrawler, DebugMode

async def main():
    crawler = FormCrawler(headless=True)

    instructions = {
        "url": "https://example.com/form",
        "browser_config": {
            "viewport_width": 1920,
            "viewport_height": 1080
        },
        "steps": [
            {
                "name": "step_1",
                "wait_for": "input[name='email']",
                "timeout_ms": 30000,
                "fields": [
                    {
                        "type": "text",
                        "selector": "input[name='email']",
                        "data_key": "email"
                    }
                ],
                "next_action": {
                    "type": "click",
                    "selector": "button[type='submit']"
                }
            }
        ],
        "final_page": {
            "wait_for": ".success-message",
            "timeout_ms": 60000
        }
    }

    input_data = {
        "email": "user@example.com"
    }

    result = await crawler.crawl(
        url=instructions["url"],
        input_data=input_data,
        instructions=instructions,
        output_dir=Path("./output"),
        debug_mode=DebugMode.ALL,
    )

    print(f"Final URL: {result.final_url}")
    print(f"Steps completed: {result.steps_completed}")
    print(f"Screenshot saved: {result.screenshot_path}")
    print(f"Extracted data: {result.extracted_data}")

asyncio.run(main())
```

## Core Concepts

The framework operates on two primary inputs:

1. **Instructions (instructions.json)**: Defines the form structure, selectors, navigation flow, and field types
2. **Data Points (input_data)**: Contains the actual values to fill into form fields

The crawler processes each step sequentially:
1. Wait for the step's `wait_for` selector to become visible
2. Fill all fields defined in the step using values from `input_data`
3. Execute the `next_action` to navigate to the next step
4. Repeat until all steps are complete
5. Wait for and capture the final page

## Instructions Schema

### Top-Level Structure

```json
{
  "url": "https://example.com/form",
  "browser_config": { ... },
  "cookie_consent": { ... },
  "steps": [ ... ],
  "final_page": { ... },
  "data_extraction": { ... }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `url` | string | Yes | Starting URL for the form |
| `browser_config` | object | No | Browser viewport and user agent settings |
| `cookie_consent` | object | No | Cookie banner handling configuration |
| `steps` | array | Yes | Ordered list of form steps |
| `final_page` | object | Yes | Configuration for the result page |
| `data_extraction` | object | No | Configuration for extracting data from final page |

### Browser Configuration

```json
{
  "browser_config": {
    "viewport_width": 1920,
    "viewport_height": 1080,
    "user_agent": "Mozilla/5.0 ..."
  }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `viewport_width` | integer | Yes | Browser viewport width in pixels |
| `viewport_height` | integer | Yes | Browser viewport height in pixels |
| `user_agent` | string | No | Custom user agent string |

### Cookie Consent Handling

The framework supports two modes for handling cookie consent banners:

**Standard Mode** (regular DOM elements):
```json
{
  "cookie_consent": {
    "banner_selector": "dialog:has-text('cookies')",
    "accept_selector": "button:has-text('Accept')"
  }
}
```

**Shadow DOM Mode** (for Usercentrics, OneTrust, etc.):
```json
{
  "cookie_consent": {
    "banner_selector": "#usercentrics-cmp-ui",
    "shadow_host_selector": "#usercentrics-cmp-ui",
    "accept_button_texts": ["Accept All", "Alle akzeptieren"]
  }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `banner_selector` | string | Yes | CSS selector for the banner container |
| `accept_selector` | string | No | CSS selector for accept button (standard mode) |
| `shadow_host_selector` | string | No | CSS selector for shadow DOM host |
| `accept_button_texts` | array | No | Text patterns to match accept buttons in shadow DOM |
| `banner_settle_delay_ms` | integer | No | Wait time before checking for banner |
| `banner_visible_timeout_ms` | integer | No | Timeout for banner visibility |
| `accept_button_timeout_ms` | integer | No | Timeout for accept button visibility |
| `post_consent_delay_ms` | integer | No | Wait time after handling consent |

### Step Definitions

Each step represents a form page or section:

```json
{
  "name": "personal_info",
  "wait_for": "input[name='firstName']",
  "timeout_ms": 30000,
  "fields": [ ... ],
  "next_action": { ... }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `name` | string | Yes | Unique identifier for the step |
| `wait_for` | string | Yes | CSS selector to wait for before processing |
| `timeout_ms` | integer | Yes | Timeout in milliseconds for wait condition |
| `fields` | array | Yes | List of field definitions (can be empty) |
| `next_action` | object | Yes | Action to navigate to next step |

### Field Types

#### TEXT

For text inputs, email fields, phone numbers, and similar:

```json
{
  "type": "text",
  "selector": "input[name='email']",
  "data_key": "email"
}
```

#### TEXTAREA

For multi-line text areas:

```json
{
  "type": "textarea",
  "selector": "textarea[name='message']",
  "data_key": "message"
}
```

#### DROPDOWN / SELECT

For native `<select>` elements:

```json
{
  "type": "dropdown",
  "selector": "select[name='country']",
  "data_key": "country",
  "select_by": "text"
}
```

| Parameter | Values | Description |
|-----------|--------|-------------|
| `select_by` | `text`, `value`, `index` | How to match the option |

#### RADIO

For radio button groups:

```json
{
  "type": "radio",
  "selector": "input[type='radio'][value='${value}']",
  "data_key": "payment_method"
}
```

**Pattern A - Value-driven selector**: Use `${value}` placeholder in selector, data provides the value:
```json
{
  "type": "radio",
  "selector": "input[type='radio'][value='${value}']",
  "data_key": "gender"
}
// data: { "gender": "male" }
```

**Pattern B - Boolean flags**: Use explicit selectors with boolean data values:
```json
{
  "type": "radio",
  "selector": "[role='radio']:has-text('Yes')",
  "data_key": "accept_terms",
  "force_click": true
}
// data: { "accept_terms": true }  // clicks if true, skips if null/false
```

#### CHECKBOX

For checkbox inputs:

```json
{
  "type": "checkbox",
  "selector": "input[type='checkbox'][name='newsletter']",
  "data_key": "subscribe_newsletter"
}
```

Data value `true` checks the box, `false` or `null` leaves it unchanged.

#### DATE

For date inputs with format conversion:

```json
{
  "type": "date",
  "selector": "input[name='birthdate']",
  "data_key": "birthdate",
  "format": "DD.MM.YYYY"
}
```

| Format | Example | Description |
|--------|---------|-------------|
| `DD.MM.YYYY` | 15.06.1985 | Day.Month.Year |
| `MM.YYYY` | 06.1985 | Month.Year |
| `YYYY-MM-DD` | 1985-06-15 | ISO format |
| `%d.%m.%Y` | 15.06.1985 | Python strftime format |

Data should be provided in ISO format (`YYYY-MM-DD`) and will be converted to the specified format.

#### SLIDER

For range inputs:

```json
{
  "type": "slider",
  "selector": "input[type='range'][name='coverage']",
  "data_key": "coverage_amount"
}
```

#### FILE

For file upload fields:

```json
{
  "type": "file",
  "selector": "input[type='file']",
  "data_key": "document_path"
}
```

Data value should be the absolute file path.

#### COMBOBOX

For autocomplete/typeahead inputs:

```json
{
  "type": "combobox",
  "selector": "input[aria-label='City']",
  "data_key": "city",
  "option_selector": ".autocomplete-option",
  "type_delay_ms": 50,
  "wait_after_type_ms": 500,
  "press_enter": true
}
```

| Parameter | Description |
|-----------|-------------|
| `option_selector` | CSS selector for dropdown options |
| `type_delay_ms` | Delay between keystrokes (simulates human typing) |
| `wait_after_type_ms` | Wait time for options to appear |
| `press_enter` | Press Enter after selecting option |
| `clear_before_type` | Clear field before typing |

#### CLICK_SELECT

For custom dropdowns requiring click-then-select:

```json
{
  "type": "click_select",
  "selector": ".custom-dropdown-trigger",
  "data_key": "option_value",
  "option_selector": ".dropdown-item:has-text('${value}')",
  "post_click_delay_ms": 300
}
```

#### CLICK_ONLY

For elements that only need clicking (no data input):

```json
{
  "type": "click_only",
  "selector": "button.expand-section"
}
```

With conditional clicking based on data:

```json
{
  "type": "click_only",
  "selector": "button:has-text('${value}')",
  "data_key": "selected_option"
}
```

#### IFRAME_FIELD

For fields inside iframes (alternative to `iframe_selector`):

```json
{
  "type": "iframe_field",
  "selector": "input[name='card_number']",
  "iframe_selector": "iframe#payment-frame",
  "data_key": "card_number"
}
```

### Common Field Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `data_key` | string | Key in input_data to get value from |
| `selector` | string | CSS/Playwright selector for the element |
| `iframe_selector` | string | Selector for parent iframe if field is embedded |
| `field_visible_timeout_ms` | integer | Timeout for field to become visible |
| `post_click_delay_ms` | integer | Wait after clicking the field |
| `skip_verification` | boolean | Skip value verification after filling |
| `force_click` | boolean | Use force click (bypasses overlays) |

### Action Types

#### CLICK

Click a button or link:

```json
{
  "type": "click",
  "selector": "button[type='submit']"
}
```

With iframe support:

```json
{
  "type": "click",
  "selector": "button:has-text('Next')",
  "iframe_selector": "iframe#form-frame"
}
```

#### WAIT

Wait for an element to appear:

```json
{
  "type": "wait",
  "selector": ".loading-complete"
}
```

#### WAIT_HIDDEN

Wait for an element to disappear:

```json
{
  "type": "wait_hidden",
  "selector": ".loading-spinner"
}
```

#### SCROLL

Scroll to an element:

```json
{
  "type": "scroll",
  "selector": "#section-bottom"
}
```

#### DELAY

Wait for a fixed time:

```json
{
  "type": "delay",
  "delay_ms": 2000
}
```

#### CONDITIONAL

Execute actions based on conditions:

```json
{
  "type": "conditional",
  "condition": {
    "type": "element_visible",
    "selector": ".error-message"
  },
  "actions": [
    {
      "type": "click",
      "selector": "button.dismiss-error"
    }
  ]
}
```

Condition types:
- `element_visible`: Check if element is visible
- `element_exists`: Check if element exists in DOM
- `data_equals`: Check if data value matches

### Common Action Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `selector` | string | Target element selector |
| `iframe_selector` | string | Selector for parent iframe |
| `pre_action_delay_ms` | integer | Wait before executing action |
| `post_action_delay_ms` | integer | Wait after executing action |

### Final Page Configuration

```json
{
  "final_page": {
    "wait_for": ".result-container, .confirmation",
    "timeout_ms": 60000,
    "screenshot_selector": ".result-panel"
  }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `wait_for` | string | Yes | Selector to confirm final page loaded |
| `timeout_ms` | integer | Yes | Timeout for final page |
| `screenshot_selector` | string | No | Element to screenshot (null for full page) |

### Data Extraction Configuration

Extract structured data from the final page using CSS selectors:

```json
{
  "data_extraction": {
    "fields": {
      "tier_prices": {
        "selector": ".price-value",
        "attribute": null,
        "regex": "([0-9]+[.,][0-9]{2})",
        "multiple": true,
        "iframe_selector": "iframe#form-frame"
      },
      "selected_price": {
        "selector": "#total-amount",
        "attribute": "data-value",
        "regex": null,
        "multiple": false
      }
    }
  }
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `selector` | string | Yes | CSS selector to locate element(s) |
| `attribute` | string | No | Element attribute to extract (null for text content) |
| `regex` | string | No | Regex pattern to apply (uses first capture group if present) |
| `multiple` | boolean | Yes | True for list of all matches, False for first match only |
| `iframe_selector` | string | No | CSS selector for iframe if element is inside one |

Extracted data is available in the crawl result:

```python
result = await crawler.crawl(...)
print(result.extracted_data)
# {'tier_prices': ['32,28', '35,26', '50,34'], 'selected_price': '35,26'}
```

## Data Points (input_data)

The `input_data` dictionary provides values for form fields. Keys must match `data_key` values in the instructions.

### Structure

```json
{
  "email": "user@example.com",
  "first_name": "John",
  "last_name": "Doe",
  "birthdate": "1985-06-15",
  "country": "Germany",
  "accept_terms": true,
  "newsletter": false,
  "premium_option": null
}
```

### Value Types

| Type | Description | Example |
|------|-------------|---------|
| String | Text values, dropdown selections | `"John"` |
| Boolean | Checkbox/radio toggle | `true`, `false` |
| Null | Skip this field | `null` |
| Integer/Float | Numeric inputs, sliders | `12000`, `99.99` |

### Radio Button Patterns

**Pattern A - Mutually exclusive options with value selector**:
```json
{
  "gender": "male"
}
```
Selector uses `${value}` placeholder: `input[value='${value}']`

**Pattern B - Boolean flags for each option**:
```json
{
  "option_a": true,
  "option_b": null,
  "option_c": null
}
```
Only the option with `true` gets clicked.

### Date Handling

Dates in input_data should use ISO format (`YYYY-MM-DD`):
```json
{
  "birthdate": "1985-06-15",
  "start_date": "2024-01-01"
}
```

The framework converts to the format specified in the field definition.

## Element Discovery

The `ElementDiscovery` class scans web pages to identify interactive elements, helping build instructions.json files.

```python
from pathlib import Path
from azcrawlerpy import ElementDiscovery

async def discover_elements():
    discovery = ElementDiscovery(headless=False)

    report = await discovery.discover(
        url="https://example.com/form",
        output_dir=Path("./discovery_output"),
        cookie_consent={
            "banner_selector": "#cookie-banner",
            "accept_selector": "button.accept"
        },
        explore_iframes=True,
        screenshot=True,
    )

    print(f"Found {report.total_elements} elements")

    for text_input in report.text_inputs:
        print(f"Text input: {text_input.selector}")
        print(f"  Suggested type: {text_input.suggested_field_type}")

    for dropdown in report.selects:
        print(f"Dropdown: {dropdown.selector}")
        print(f"  Options: {dropdown.options}")

    for radio_group in report.radio_groups:
        print(f"Radio group: {radio_group.name}")
        for option in radio_group.options:
            print(f"  - {option.label}: {option.selector}")
```

### Discovery Report Contents

- `text_inputs`: Text, email, phone, password fields
- `textareas`: Multi-line text areas
- `selects`: Native dropdown elements with options
- `radio_groups`: Grouped radio buttons
- `checkboxes`: Checkbox inputs
- `buttons`: Clickable buttons
- `links`: Anchor elements
- `date_inputs`: Date picker fields
- `file_inputs`: File upload fields
- `sliders`: Range inputs
- `custom_components`: Non-standard interactive elements
- `iframes`: Discovered iframes with their elements

## AI Agent Guidance

This section provides instructions for AI agents tasked with creating `instructions.json` and `input_data` files.

### Workflow for Creating Instructions

1. **Discovery Phase**: Use `ElementDiscovery` to scan each page/step of the form
2. **Mapping Phase**: Map discovered elements to field definitions
3. **Flow Definition**: Define step transitions and actions
4. **Data Schema**: Create the input_data structure

### Step-by-Step Process

#### 1. Analyze the Form Structure

- Identify how many pages/steps the form has
- Note the URL pattern changes (if any)
- Identify what element appears when each step loads

#### 2. For Each Step, Define:

```json
{
  "name": "<descriptive_step_name>",
  "wait_for": "<selector_that_confirms_step_loaded>",
  "timeout_ms": 30000,
  "fields": [...],
  "next_action": {...}
}
```

**Naming conventions**:
- Use snake_case for step names: `personal_info`, `payment_details`
- Use descriptive data_keys: `first_name`, `email_address`, `accepts_terms`

#### 3. Selector Priority

When choosing selectors, prefer in order:
1. `[data-testid='...']` or `[data-cy='...']` - Most stable
2. `[aria-label='...']` or `[aria-labelledby='...']` - Accessible and stable
3. `input[name='...']` - Form field names
4. `:has-text('...')` - Text content (use for buttons/labels)
5. CSS class selectors - Least stable, avoid if possible

#### 4. Handle Dynamic Content

For AJAX-loaded content:
- Use `wait` action before interacting
- Add `field_visible_timeout_ms` to field definitions
- Use `post_click_delay_ms` for fields that trigger updates

#### 5. Radio Button Strategy

**Option A - When radio values are meaningful**:
```json
{
  "type": "radio",
  "selector": "input[type='radio'][value='${value}']",
  "data_key": "payment_type"
}
// data: { "payment_type": "credit_card" }
```

**Option B - When you need individual control**:
```json
{
  "type": "radio",
  "selector": "[role='radio']:has-text('Credit Card')",
  "data_key": "payment_credit_card",
  "force_click": true
},
{
  "type": "radio",
  "selector": "[role='radio']:has-text('PayPal')",
  "data_key": "payment_paypal",
  "force_click": true
}
// data: { "payment_credit_card": true, "payment_paypal": null }
```

#### 6. Iframe Handling

When elements are inside iframes:
```json
{
  "type": "text",
  "selector": "input[name='card_number']",
  "iframe_selector": "iframe#payment-iframe",
  "data_key": "card_number"
}
```

### Creating input_data

#### 1. Analyze Required Fields

From the instructions, extract all unique `data_key` values:
```python
data_keys = set()
for step in instructions["steps"]:
    for field in step["fields"]:
        if field.get("data_key"):
            data_keys.add(field["data_key"])
```

#### 2. Determine Value Types

| Field Type | Data Type | Example |
|------------|-----------|---------|
| text, textarea | string | `"John Doe"` |
| dropdown | string | `"Germany"` |
| radio (value-driven) | string | `"option_a"` |
| radio (boolean) | boolean/null | `true` or `null` |
| checkbox | boolean | `true` / `false` |
| date | string (ISO) | `"1985-06-15"` |
| slider | number | `50000` |
| file | string (path) | `"/path/to/file.pdf"` |

#### 3. Handle Mutually Exclusive Options

For radio groups with boolean flags, only ONE should be `true`:
```json
{
  "employment_fulltime": true,
  "employment_parttime": null,
  "employment_selfemployed": null,
  "employment_unemployed": null
}
```

#### 4. Date Format

Always provide dates in ISO format in input_data:
```json
{
  "birthdate": "1985-06-15",
  "policy_start": "2024-01-01"
}
```

The instructions specify the output format for the specific form.

### Common Patterns

#### Multi-Step Wizard
```json
{
  "steps": [
    {
      "name": "step_1_personal",
      "wait_for": "input[name='firstName']",
      "fields": [...],
      "next_action": { "type": "click", "selector": "button:has-text('Next')" }
    },
    {
      "name": "step_2_address",
      "wait_for": "input[name='street']",
      "fields": [...],
      "next_action": { "type": "click", "selector": "button:has-text('Next')" }
    }
  ]
}
```

#### Form with Loading States
```json
{
  "next_action": {
    "type": "click",
    "selector": "button[type='submit']",
    "post_action_delay_ms": 1000
  }
}
```

#### Conditional Fields
```json
{
  "type": "conditional",
  "condition": {
    "type": "data_equals",
    "data_key": "has_additional_driver",
    "value": true
  },
  "actions": [
    {
      "type": "click",
      "selector": "button:has-text('Add Driver')"
    }
  ]
}
```

## Error Handling and Diagnostics

The framework provides detailed error information when failures occur.

### Exception Types

| Exception | When Raised |
|-----------|-------------|
| `FieldNotFoundError` | Selector doesn't match any element |
| `FieldInteractionError` | Element found but interaction failed |
| `CrawlerTimeoutError` | Wait condition not met within timeout |
| `NavigationError` | Navigation action failed |
| `MissingDataError` | Required data_key not in input_data |
| `InvalidInstructionError` | Malformed instructions JSON |
| `UnsupportedFieldTypeError` | Unknown field type specified |
| `UnsupportedActionTypeError` | Unknown action type specified |
| `IframeNotFoundError` | Specified iframe not found |
| `DataExtractionError` | Data extraction from final page failed |

### Debug Mode

Enable debug mode to capture screenshots at various stages:

```python
from azcrawlerpy import DebugMode

result = await crawler.crawl(
    ...,
    debug_mode=DebugMode.ALL,  # Capture all screenshots
)
```

| Mode | Description |
|------|-------------|
| `NONE` | No debug screenshots |
| `START` | Screenshot at form start |
| `END` | Screenshot at form end |
| `ALL` | Screenshots after every field and action |

### AI Diagnostics

When errors occur with debug mode enabled, the framework captures:

- Current page URL and title
- Available `data-cy` and `data-testid` selectors
- Visible buttons and input fields
- Similar selectors (fuzzy matching suggestions)
- Console errors and warnings
- Failed network requests
- HTML snippet of the form area

This information is included in the exception message and saved to `error_diagnostics.json`.

## Examples

### Insurance Quote Form

**instructions.json**:
```json
{
  "url": "https://insurance.example.com/quote",
  "browser_config": {
    "viewport_width": 1920,
    "viewport_height": 1080
  },
  "cookie_consent": {
    "banner_selector": "#cookie-banner",
    "accept_selector": "button:has-text('Accept')"
  },
  "steps": [
    {
      "name": "vehicle_info",
      "wait_for": "input[name='hsn']",
      "timeout_ms": 30000,
      "fields": [
        {
          "type": "text",
          "selector": "input[name='hsn']",
          "data_key": "vehicle_hsn"
        },
        {
          "type": "text",
          "selector": "input[name='tsn']",
          "data_key": "vehicle_tsn"
        },
        {
          "type": "date",
          "selector": "input[name='registration_date']",
          "data_key": "first_registration",
          "format": "MM.YYYY"
        }
      ],
      "next_action": {
        "type": "click",
        "selector": "button:has-text('Continue')"
      }
    },
    {
      "name": "personal_info",
      "wait_for": "input[name='birthdate']",
      "timeout_ms": 30000,
      "fields": [
        {
          "type": "date",
          "selector": "input[name='birthdate']",
          "data_key": "birthdate",
          "format": "DD.MM.YYYY"
        },
        {
          "type": "text",
          "selector": "input[name='zipcode']",
          "data_key": "postal_code"
        }
      ],
      "next_action": {
        "type": "click",
        "selector": "button:has-text('Get Quote')"
      }
    }
  ],
  "final_page": {
    "wait_for": ".quote-result",
    "timeout_ms": 60000,
    "screenshot_selector": ".quote-panel"
  }
}
```

**data_row.json**:
```json
{
  "vehicle_hsn": "0603",
  "vehicle_tsn": "AKZ",
  "first_registration": "2020-03-15",
  "birthdate": "1985-06-20",
  "postal_code": "80331"
}
```

### Form with Iframes

```json
{
  "steps": [
    {
      "name": "embedded_form",
      "wait_for": "iframe#form-frame",
      "timeout_ms": 30000,
      "fields": [
        {
          "type": "text",
          "selector": "input[name='email']",
          "iframe_selector": "iframe#form-frame",
          "data_key": "email"
        },
        {
          "type": "dropdown",
          "selector": "select[name='plan']",
          "iframe_selector": "iframe#form-frame",
          "data_key": "selected_plan",
          "select_by": "text"
        }
      ],
      "next_action": {
        "type": "click",
        "selector": "button:has-text('Submit')",
        "iframe_selector": "iframe#form-frame"
      }
    }
  ]
}
```

## License

MIT
