Pricing
Pay per usage
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).
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Pricing
Pay per usage
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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, youβll 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("πΎ 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# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe 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: