
RAG Web Browser
Pricing
Pay per usage

RAG Web Browser
Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).
4.4 (11)
Pricing
Pay per usage
85
Total users
2.4k
Monthly users
907
Runs succeeded
>99%
Issue response
4.7 days
Last modified
10 days ago
You can access the RAG Web Browser programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "query": "web browser for RAG pipelines -site:reddit.com",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 finish22run = 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-start
RAG 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-client
Other API clients include: