RAG Web Browser
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RAG Web Browser
No credit card required
Web browser for OpenAI Assistants API and RAG pipelines, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages from the results, and returns their cleaned content as Markdown for further processing by an LLM.
Do you want to learn more about this Actor?
Get a demoYou can access the RAG Web Browser programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "query": "fast web browser in RAG pipelines",
10 "proxyConfiguration": { "useApifyProxy": True },
11 "removeElementsCssSelector": """nav, footer, script, style, noscript, svg, img[src^='data:'],
12[role=\"alert\"],
13[role=\"banner\"],
14[role=\"dialog\"],
15[role=\"alertdialog\"],
16[role=\"region\"][aria-label*=\"skip\" i],
17[aria-modal=\"true\"]""",
18 "htmlTransformer": "none",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("apify/rag-web-browser").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startRAG Web Browser API in Python
The Apify API client for Python is the official library that allows you to use RAG Web Browser API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Apify
