Hyperbrowser is a platform for running and scaling headless browsers. It lets you launch and manage browser sessions at scale and provides easy to use solutions for any webscraping needs, such as scraping a single page or crawling an entire site. Key Features:
  • Instant Scalability - Spin up hundreds of browser sessions in seconds without infrastructure headaches
  • Simple Integration - Works seamlessly with popular tools like Puppeteer and Playwright
  • Powerful APIs - Easy to use APIs for scraping/crawling any site, and much more
  • Bypass Anti-Bot Measures - Built-in stealth mode, ad blocking, automatic CAPTCHA solving, and rotating proxies
For more information about Hyperbrowser, please visit the Hyperbrowser website or if you want to check out the docs, you can visit the Hyperbrowser docs.

​
Installation and Setup

To get started with langchain-hyperbrowser, you can install the package using pip: 
pip install langchain-hyperbrowser
And you should configure credentials by setting the following environment variables: HYPERBROWSER_API_KEY=<your-api-key> Make sure to get your API Key from https://app.hyperbrowser.ai/

​
Available Tools

Hyperbrowser provides two main categories of tools that are particularly useful for:
  • Web scraping and data extraction from complex websites
  • Automating repetitive web tasks
  • Interacting with web applications that require authentication
  • Performing research across multiple websites
  • Testing web applications

​
Browser Agent Tools

Hyperbrowser provides a number of Browser Agents tools. Currently we supported
  • Claude Computer Use
  • OpenAI CUA
  • Browser Use
You can see more details here

​
Browser Use Tool

A general-purpose browser automation tool that can handle various web tasks through natural language instructions. 
from langchain_hyperbrowser import HyperbrowserBrowserUseTool

tool = HyperbrowserBrowserUseTool()
result = tool.run({
    "task": "Go to npmjs.com, find the React package, and tell me when it was last updated"
})
print(result)

​
OpenAI CUA Tool

Leverages OpenAI’s Computer Use Agent capabilities for advanced web interactions and information gathering. 
from langchain_hyperbrowser import HyperbrowserOpenAICUATool

tool = HyperbrowserOpenAICUATool()
result = tool.run({
    "task": "Go to Hacker News and summarize the top 5 posts right now"
})
print(result)

​
Claude Computer Use Tool

Utilizes Anthropic’s Claude for sophisticated web browsing and information processing tasks. 
from langchain_hyperbrowser import HyperbrowserClaudeComputerUseTool

tool = HyperbrowserClaudeComputerUseTool()
result = tool.run({
    "task": "Go to GitHub's trending repositories page, and list the top 3 posts there right now"
})
print(result)

​
Web Scraping Tools

Here is a brief description of the Web Scraping Tools available with Hyperbrowser. You can see more details here

​
Scrape Tool

The Scrape Tool allows you to extract content from a single webpage in markdown, HTML, or link format. 
from langchain_hyperbrowser import HyperbrowserScrapeTool

tool = HyperbrowserScrapeTool()
result = tool.run({
    "url": "https://example.com",
    "scrape_options": {"formats": ["markdown"]}
})
print(result)

​
Crawl Tool

The Crawl Tool enables you to traverse entire websites, starting from a given URL, with configurable page limits. 
from langchain_hyperbrowser import HyperbrowserCrawlTool

tool = HyperbrowserCrawlTool()
result = tool.run({
    "url": "https://example.com",
    "max_pages": 2,
    "scrape_options": {"formats": ["markdown"]}
})
print(result)

​
Extract Tool

The Extract Tool uses AI to pull structured data from web pages based on predefined schemas, making it perfect for data extraction tasks. 
from langchain_hyperbrowser import HyperbrowserExtractTool
from pydantic import BaseModel

class SimpleExtractionModel(BaseModel):
    title: str

tool = HyperbrowserExtractTool()
result = tool.run({
    "url": "https://example.com",
    "schema": SimpleExtractionModel
})
print(result)

​
Document Loader

The HyperbrowserLoader class in langchain-hyperbrowser can easily be used to load content from any single page or multiple pages as well as crawl an entire site. The content can be loaded as markdown or html. 
from langchain_hyperbrowser import HyperbrowserLoader

loader = HyperbrowserLoader(urls="https://example.com")
docs = loader.load()

print(docs[0])

​
Advanced Usage

You can specify the operation to be performed by the loader. The default operation is scrape. For scrape, you can provide a single URL or a list of URLs to be scraped. For crawl, you can only provide a single URL. The crawl operation will crawl the provided page and subpages and return a document for each page. 
loader = HyperbrowserLoader(
  urls="https://hyperbrowser.ai", api_key="YOUR_API_KEY", operation="crawl"
)
Optional params for the loader can also be provided in the params argument. For more information on the supported params, visit https://docs.hyperbrowser.ai/reference/sdks/python/scrape#start-scrape-job-and-wait or https://docs.hyperbrowser.ai/reference/sdks/python/crawl#start-crawl-job-and-wait. 
loader = HyperbrowserLoader(
  urls="https://example.com",
  api_key="YOUR_API_KEY",
  operation="scrape",
  params={"scrape_options": {"include_tags": ["h1", "h2", "p"]}}
)

​
Additional Resources