browserbase-haystack 0.0.4

Browserbase Haystack Fetcher

Browserbase Haystack Fetcher

Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.

Power your AI data retrievals with:

• Serverless Infrastructure providing reliable browsers to extract data from complex UIs
• Stealth Mode with included fingerprinting tactics and automatic captcha solving
• Session Debugger to inspect your Browser Session with networks timeline and logs
• Live Debug to quickly debug your automation

Installation and setup

• Get an API key and Project ID from browserbase.com and set it in environment variables (BROWSERBASE_API_KEY, BROWSERBASE_PROJECT_ID).
• Install the required dependencies:

pip install browserbase-haystack

Usage

You can load webpages into Haystack using BrowserbaseFetcher. Optionally, you can set text_content parameter to convert the pages to text-only representation.

Standalone

from browserbase_haystack import BrowserbaseFetcher

browserbase_fetcher = BrowserbaseFetcher()
browserbase_fetcher.run(urls=["https://example.com"], text_content=False)

In a pipeline

from haystack import Pipeline
from haystack.components.generators import OpenAIGenerator
from haystack.components.builders import PromptBuilder
from browserbase_haystack import BrowserbaseFetcher

prompt_template = (
    "Tell me the titles of the given pages. Pages: {{ documents }}"
)
prompt_builder = PromptBuilder(template=prompt_template)
llm = OpenAIGenerator()

browserbase_fetcher = BrowserbaseFetcher()

pipe = Pipeline()
pipe.add_component("fetcher", browserbase_fetcher)
pipe.add_component("prompt_builder", prompt_builder)
pipe.add_component("llm", llm)

pipe.connect("fetcher.documents", "prompt_builder.documents")
pipe.connect("prompt_builder.prompt", "llm.prompt")
result = pipe.run(data={"fetcher": {"urls": ["https://example.com"]}})

Parameters

• urls Required. A list of URLs to fetch
• text_content Optional. Only return page text content
• session_id Optional. The Session ID
• proxy Optional. Enable Proxy