added Browserbase fetcher

integrations/browserbase.md

@@ -0,0 +1,67 @@
+---
+layout: integration
+name: Browserbase
+description: Use Browserbase headless browsers with Haystack
+authors:
+    - name: Browserbase
+      socials:
+        github: https://github.com/browserbase
+        twitter: https://twitter.com/browserbasehq
+        linkedin: https://www.linkedin.com/company/browserbasehq
+pypi: https://pypi.org/project/browserbase-haystack
+repo: https://github.com/browserbase/haystack
+report_issue: https://github.com/browserbase/haystack/issues
+type: Data Ingestion
+logo: /logos/browserbase.png
+version: Haystack 2.0
+---
+
+# Browserbase Haystack Fetcher
+
+[Browserbase](https://browserbase.com) is a serverless platform for running headless browsers, it offers advanced debugging, session recordings, stealth mode, integrated proxies and captcha solving.
+
+## Installation and setup
+
+- Get an API key from [browserbase.com](https://browserbase.com) and set it in environment variables (`BROWSERBASE_API_KEY`).
+- 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
+
+```py
+from browserbase_haystack import BrowserbaseFetcher
+
+browserbase_fetcher = BrowserbaseFetcher()
+browserbase_fetcher.run(urls=["https://example.com"], text_content=False)
+```
+
+### In a pipeline
+
+```py
+from browserbase_haystack import BrowserbaseFetcher
+from haystack import Pipeline
+from haystack.components.generators import OpenAIGenerator
+from haystack.components.builders import PromptBuilder
+
+prompt_template = (
+    "Tell me the titles of the given pages. Pages: {{ documents }}"
+)
+prompt_builder = PromptBuilder(template=prompt_template)
+llm = OpenAIGenerator()
+
+pipe = Pipeline()
+pipe.add_component("fetcher", self.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"]}})
+```