owl-browser 2.0.7

Python SDK for Owl Browser automation - async-first with dynamic OpenAPI method generation

Owl Browser Python SDK v2

Async-first Python SDK for Owl Browser automation with dynamic OpenAPI method generation and flow execution support.

Features

• Dynamic Method Generation: Methods are automatically generated from the OpenAPI schema
• Async-First Design: Built with asyncio for optimal performance
• Sync Wrappers: Convenience methods for non-async code
• Flow Execution: Execute test flows with variable resolution and expectations
• Type Safety: Full type hints with Python 3.12+ features
• Connection Pooling: Efficient HTTP connection management
• Retry Logic: Automatic retries with exponential backoff

Installation

pip install owl-browser

For development:

pip install owl-browser[dev]

Quick Start

Connection Modes

The SDK supports two connection modes depending on your deployment:

from owl_browser import OwlBrowser, RemoteConfig

# Production (via nginx proxy) - this is the default
# Uses /api prefix: https://your-domain.com/api/execute/...
config = RemoteConfig(
    url="https://your-domain.com",
    token="your-token"
)

# Development (direct to http-server on port 8080)
# No prefix: http://localhost:8080/execute/...
config = RemoteConfig(
    url="http://localhost:8080",
    token="test-token",
    api_prefix=""  # Empty string for direct connection
)

Async Usage (Recommended)

import asyncio
from owl_browser import OwlBrowser, RemoteConfig

async def main():
    config = RemoteConfig(
        url="https://your-domain.com",
        token="your-secret-token"
    )

    async with OwlBrowser(config) as browser:
        # Create a browser context
        ctx = await browser.create_context()
        context_id = ctx["context_id"]

        # Navigate to a page
        await browser.navigate(context_id=context_id, url="https://example.com")

        # Click an element
        await browser.click(context_id=context_id, selector="button#submit")

        # Take a screenshot
        screenshot = await browser.screenshot(context_id=context_id)

        # Extract text content
        text = await browser.extract_text(context_id=context_id, selector="h1")
        print(f"Page title: {text}")

        # Close the context
        await browser.close_context(context_id=context_id)

asyncio.run(main())

Sync Usage

from owl_browser import OwlBrowser, RemoteConfig

config = RemoteConfig(
    url="http://localhost:8080",
    token="your-secret-token"
)

browser = OwlBrowser(config)
browser.connect_sync()

# Execute tools synchronously
ctx = browser.execute_sync("browser_create_context")
browser.execute_sync("browser_navigate", context_id=ctx["context_id"], url="https://example.com")
browser.execute_sync("browser_close_context", context_id=ctx["context_id"])

browser.close_sync()

Authentication

Bearer Token

config = RemoteConfig(
    url="http://localhost:8080",
    token="your-secret-token"
)

JWT Authentication

from owl_browser import RemoteConfig, AuthMode, JWTConfig

config = RemoteConfig(
    url="http://localhost:8080",
    auth_mode=AuthMode.JWT,
    jwt=JWTConfig(
        private_key_path="/path/to/private.pem",
        expires_in=3600,  # 1 hour
        refresh_threshold=300,  # Refresh 5 minutes before expiry
        issuer="my-app",
        subject="user-123"
    )
)

Flow Execution

Execute test flows from JSON files (compatible with Owl Browser frontend format):

from owl_browser import OwlBrowser, RemoteConfig
from owl_browser.flow import FlowExecutor

async def run_flow():
    async with OwlBrowser(RemoteConfig(...)) as browser:
        ctx = await browser.create_context()
        executor = FlowExecutor(browser, ctx["context_id"])

        # Load and execute a flow
        flow = FlowExecutor.load_flow("test-flows/navigation.json")
        result = await executor.execute(flow)

        if result.success:
            print(f"Flow completed in {result.total_duration_ms:.0f}ms")
            for step in result.steps:
                print(f"  [{step.step_index}] {step.tool_name}: {'OK' if step.success else 'FAIL'}")
        else:
            print(f"Flow failed: {result.error}")

        await browser.close_context(context_id=ctx["context_id"])

Flow JSON Format

{
  "name": "Navigation Test",
  "description": "Test navigation tools",
  "steps": [
    {
      "type": "browser_navigate",
      "url": "https://example.com",
      "selected": true,
      "description": "Navigate to example.com"
    },
    {
      "type": "browser_extract_text",
      "selector": "h1",
      "selected": true,
      "expected": {
        "contains": "Example"
      }
    }
  ]
}

Variable Resolution

Use ${prev} to reference the previous step's result:

{
  "steps": [
    {
      "type": "browser_get_page_info",
      "description": "Get page info"
    },
    {
      "type": "browser_navigate",
      "url": "${prev.url}/about",
      "description": "Navigate to about page"
    }
  ]
}

Expectations

Validate step results with expectations:

{
  "type": "browser_extract_text",
  "selector": "#count",
  "expected": {
    "greaterThan": 0,
    "field": "length"
  }
}

Supported expectations:

• equals: Exact match
• contains: String contains
• length: Array/string length
• greaterThan: Numeric comparison
• lessThan: Numeric comparison
• notEmpty: Not null/undefined/empty
• matches: Regex pattern match
• field: Nested field path (e.g., "data.count")

Playwright-Compatible API

Drop-in Playwright API that translates Playwright calls to Owl Browser tools. Use your existing Playwright code with Owl Browser's antidetect capabilities.

from owl_browser.playwright import chromium, devices

async def main():
    browser = await chromium.connect("http://localhost:8080", token="your-token")
    context = await browser.new_context(**devices["iPhone 15 Pro"])
    page = await context.new_page()

    await page.goto("https://example.com")
    await page.click("button#submit")
    await page.fill("#search", "query")

    text = await page.text_content("h1")
    await page.screenshot(path="page.png")

    # Locators
    button = page.locator("button.primary")
    await button.click()

    # Playwright-style selectors
    login = page.get_by_role("button", name="Log in")
    search = page.get_by_placeholder("Enter email")
    heading = page.get_by_text("Welcome")

    await context.close()
    await browser.close()

Supported features: Page navigation, click/fill/type/press, locators (CSS, text, role, test-id, xpath), frames, keyboard & mouse input, screenshots, network interception (route/unroute), dialogs, downloads, viewport emulation, and 20+ device descriptors (iPhone, Pixel, Galaxy, iPad, Desktop).

Data Extraction

Universal structured data extraction from any website — CSS selectors, auto-detection, tables, metadata, and multi-page scraping with pagination. No AI dependencies, works deterministically with BeautifulSoup.

from owl_browser import OwlBrowser, RemoteConfig
from owl_browser.extraction import Extractor

async def main():
    async with OwlBrowser(RemoteConfig(url="...", token="...")) as browser:
        ctx = await browser.create_context()
        ex = Extractor(browser, ctx["context_id"])
        await ex.goto("https://example.com/products")

        # CSS selector extraction
        products = await ex.select(".product-card", {
            "name": "h3",
            "price": ".price",
            "image": "img@src",
            "link": "a@href",
        })

        # Auto-detect repeating patterns (zero-config)
        patterns = await ex.detect()

        # Multi-page scraping with automatic pagination
        result = await ex.scrape(".product-card", {
            "fields": {"name": "h3", "price": ".price", "sku": "@data-sku"},
            "max_pages": 10,
            "deduplicate_by": "sku",
        })
        print(f"{result['total_items']} items from {result['pages_scraped']} pages")

Capabilities:

Method	Description
select() / select_first()	Extract with CSS selectors and field specs ("selector", "selector@attr", object specs with transforms)
table() / grid() / definition_list()	Parse <table>, CSS grid/flexbox, and <dl> structures
meta() / json_ld()	Extract OpenGraph, Twitter Card, JSON-LD, microdata, feeds
detect() / detect_and_extract()	Auto-discover repeating DOM patterns
lists()	Extract list/card containers with auto-field inference
scrape()	Multi-page with pagination detection (click-next, URL patterns, buttons, load-more, infinite scroll)
clean()	Remove cookie banners, modals, fixed elements, ads
html() / markdown() / text()	Raw content with cleaning levels

All extraction functions are also available as standalone pure functions for use without a browser connection.

Available Tools

Methods are dynamically generated from the server's OpenAPI schema. Common tools include:

Context Management

• create_context() - Create a new browser context
• close_context(context_id) - Close a context

Navigation

• navigate(context_id, url) - Navigate to URL
• reload(context_id) - Reload page
• go_back(context_id) - Navigate back
• go_forward(context_id) - Navigate forward

Interaction

• click(context_id, selector) - Click element
• type(context_id, selector, text) - Type text
• press_key(context_id, key) - Press keyboard key

Content Extraction

• extract_text(context_id, selector) - Extract text
• get_html(context_id) - Get page HTML
• screenshot(context_id) - Take screenshot

AI Features

• summarize_page(context_id) - Summarize page content
• query_page(context_id, query) - Ask questions about page
• solve_captcha(context_id) - Solve CAPTCHA challenges

Use browser.list_tools() to see all available tools.

Error Handling

from owl_browser import (
    OwlBrowserError,
    ConnectionError,
    AuthenticationError,
    ToolExecutionError,
    TimeoutError,
)

try:
    async with OwlBrowser(config) as browser:
        await browser.navigate(context_id="invalid", url="https://example.com")
except AuthenticationError as e:
    print(f"Authentication failed: {e}")
except ToolExecutionError as e:
    print(f"Tool {e.tool_name} failed: {e.message}")
except TimeoutError as e:
    print(f"Operation timed out: {e}")
except ConnectionError as e:
    print(f"Connection failed: {e}")

Configuration Options

from owl_browser import RemoteConfig, RetryConfig

config = RemoteConfig(
    url="https://your-domain.com",
    token="secret",

    # Timeout settings
    timeout=30.0,  # seconds

    # Concurrency
    max_concurrent=10,

    # Retry configuration
    retry=RetryConfig(
        max_retries=3,
        initial_delay_ms=100,
        max_delay_ms=10000,
        backoff_multiplier=2.0,
        jitter_factor=0.1
    ),

    # API prefix - determines URL structure for API calls
    # Default: "/api" (production via nginx proxy)
    # Set to "" for direct connection to http-server (development)
    api_prefix="/api",

    # SSL verification
    verify_ssl=True
)

API Reference

OwlBrowser

• connect() / connect_sync() - Connect to server
• close() / close_sync() - Close connection
• execute(tool_name, **params) / execute_sync(...) - Execute any tool
• health_check() - Check server health
• list_tools() - List all tool names
• list_methods() - List all method names
• get_tool(name) - Get tool definition

FlowExecutor

• execute(flow) - Execute a flow
• abort() - Abort current execution
• reset() - Reset abort flag
• load_flow(path) - Load flow from JSON file

Extractor

• goto(url, wait_for_idle=True) - Navigate to URL
• select(selector, fields) - Extract from all matches
• select_first(selector, fields) - Extract first match
• count(selector) - Count matching elements
• table(selector, options) - Parse HTML tables
• grid(container, item) - Parse CSS grids
• definition_list(selector) - Parse <dl> lists
• detect_tables() - Auto-detect tables
• meta() - Extract page metadata
• json_ld() - Extract JSON-LD
• detect(options) - Detect repeating patterns
• detect_and_extract(options) - Detect + extract
• lists(selector, options) - Extract lists/cards
• scrape(selector, options) - Multi-page scrape
• abort_scrape() - Abort running scrape
• clean(options) - Remove obstructions
• html(clean_level) - Get page HTML
• markdown() - Get page markdown
• text(selector, regex) - Get filtered text
• detect_site() - Detect site type
• site_data(template) - Site-specific extraction

Requirements

• Python 3.12+
• aiohttp >= 3.9.0
• pyjwt[crypto] >= 2.8.0
• cryptography >= 42.0.0
• beautifulsoup4 >= 4.12.0

License

MIT License - see LICENSE file for details.

Links

• Website: https://www.owlbrowser.net
• Documentation: https://www.owlbrowser.net/docs
• GitHub: https://github.com/Olib-AI/olib-browser