### Basic Browser Setup with Zero Configuration in Python

Source: https://autoscrape-labs.github.io/pydoll/index

This snippet demonstrates initializing a Chrome browser instance and navigating to a URL using Pydoll's async context manager. No additional setup like drivers or PATH variables is required. It takes no inputs beyond the target URL and outputs a started browser tab for further automation.

```python
from pydoll.browser import Chrome

async def run():
    async with Chrome() as browser:
        tab = await browser.start()
        await tab.go_to('https://example.com')
```

--------------------------------

### Quick Google Search Automation in Python

Source: https://autoscrape-labs.github.io/pydoll/index

A complete example of searching on Google using Pydoll: navigates, finds input, types text, and submits. Uses async context and asyncio.run. Inputs are search query; outputs performed search (no explicit return). Simple for beginners but assumes Chrome availability.

```python
import asyncio
from pydoll.browser import Chrome

async def main():
    async with Chrome() as browser:
        tab = await browser.start()
        await tab.go_to('https://google.com')
        
        search_box = await tab.find(name='q')
        await search_box.type_text('Pydoll')
        await search_box.press_keyboard_key('Enter')

asyncio.run(main())
```

--------------------------------

### Concurrent Web Scraping with Async Await in Python

Source: https://autoscrape-labs.github.io/pydoll/index

This example shows running multiple scraping tasks concurrently across tabs using asyncio.gather. It depends on the pydoll library and asyncio. Inputs are URLs for scraping; outputs are results like page titles from executed scripts. Limitations include requiring an active browser instance.

```python
import asyncio
from pydoll.browser import Chrome

async def scrape(url, tab):
    await tab.go_to(url)
    return await tab.execute_script('return document.title')

async def main():
    browser = Chrome()
    tab1 = await browser.start()
    tab2 = await browser.new_tab()
    titles = await asyncio.gather(
        scrape('https://google.com', tab1),
        scrape('https://github.com', tab2),
    )
    print(titles)
```

--------------------------------

### Event-Driven Network Monitoring in Python

Source: https://autoscrape-labs.github.io/pydoll/index

Sets up listening for network events like response received using Pydoll's event system. Requires enabling network events on the tab. Inputs are event handlers; outputs printed event details like status. Useful for real-time automation but limited to supported DevTools events.

```python
# Enable and listen to network events
await tab.enable_network_events()

async def on_response(params):
    info = params.get('response', {})
    print('status:', info.get('status'))

await tab.on('Network.responseReceived', on_response)
```

--------------------------------

### Intuitive Element Selection and Interaction in Python

Source: https://autoscrape-labs.github.io/pydoll/index

Demonstrates finding elements using natural language-like attributes, CSS, or XPath, then interacting like clicking. Relies on pydoll's tab.find and query methods. Inputs are selectors (e.g., tag, text, class); outputs WebElement objects. Efficient for readable automation scripts but may need precise selectors.

```python
button = await tab.find(tag_name='button', text='Submit', class_name='btn-primary')
await button.click()

el = await tab.query('div[data-testid="awesome-element"]')
```

--------------------------------

### Browser-Context Login and API Request in Python

Source: https://autoscrape-labs.github.io/pydoll/index

This snippet performs a login on a webpage and then makes an API request inheriting session cookies and context. Depends on pydoll for tab and request handling. Inputs are login credentials and API endpoint; outputs JSON response data. Limitations: requires valid page selectors and active tab.

```python
await tab.go_to('https://app.example.com/login')
await (await tab.find(id='email')).type_text('user@example.com')
await (await tab.find(id='password')).type_text('secret')
await (await tab.find(type='submit')).click()

response = await tab.request.get('https://app.example.com/api/user/profile')
print(response.json())
```

--------------------------------

### Type-Safe Element Finding in Python

Source: https://autoscrape-labs.github.io/pydoll/index

Illustrates Pydoll's type annotations for element finding methods, allowing IDEs to infer return types like WebElement or lists. It uses the tab object from a browser session. Inputs are selectors like id or attributes; outputs vary by find_all and raise_exc flags. Best for development with type checkers like mypy.

```python
# The IDE knows exactly what each call returns:
await tab.find(id='username')                 # → WebElement
await tab.find(id='username', find_all=True)  # → list[WebElement]
await tab.find(id='username', raise_exc=False)  # → WebElement | None
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.