Pricing

from $1.00 / 1,000 results

RAG Web Browser

Search the web or fetch direct URLs and return clean markdown for LLM/RAG pipelines. filters: domainAllowlist/Blocklist, minTextLength, keywordsAnyOf. No login, no cookies.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Crawler Bros

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

Developer tools

Automation

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "query": "what is retrieval augmented generation",
12    "startUrls": [],
13    "maxResults": 3,
14    "outputFormats": [
15        "markdown"
16    ],
17    "requestTimeoutSecs": 40,
18    "scrapingTool": "raw-http",
19    "removeElementsCssSelector": "nav, footer, aside, script, style, .ad, .advertisement, [aria-hidden='true']",
20    "htmlTransformer": "readable-text",
21    "desiredConcurrency": 5,
22    "maxRequestRetries": 2,
23    "dynamicContentWaitSecs": 5,
24    "removeCookieWarnings": true,
25    "useApifyProxy": true,
26    "domainAllowlist": [],
27    "domainBlocklist": [],
28    "excludeContentSelectors": [],
29    "keywordsAnyOf": []
30};
31
32// Run the Actor and wait for it to finish
33const run = await client.actor("crawlerbros/rag-web-browser").call(input);
34
35// Fetch and print Actor results from the run's dataset (if any)
36console.log('Results from dataset');
37console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
38const { items } = await client.dataset(run.defaultDatasetId).listItems();
39items.forEach((item) => {
40    console.dir(item);
41});
42
43// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

RAG Web Browser API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use RAG Web Browser API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

RAG Web Browser API in Python

RAG Web Browser API through CLI

RAG Web Browser OpenAPI definition

RAG Web Browser API

🧠 RAG Web Browser — Web Content for AI & LLMs

nexgendata/rag-web-browser

Web browser for RAG pipelines and AI agents. Search Google, scrape top results, return clean Markdown. Feed your LLM with real-time web data. Works with Claude, GPT, LangChain, CrewAI. No API key needed.

NexGenData

RAG Web Browser

apify/rag-web-browser

Web search and fetch tool for AI agents and RAG pipelines. It queries Google Search, scrapes the top N pages using a full web browser, and returns their content as clean Markdown for further processing by an LLM. Can also fetch individual URLs.

Apify

121K

3.7

RAG Web Browser

simpleapi/rag-web-browser

SimpleAPI

RAG Web Browser

scraper-engine/rag-web-browser

Scraper Engine

RAG Web Browser

api-empire/rag-web-browser

API Empire

RAG Web Browser

scrapio/rag-web-browser

Scrapio

RAG Web Browser API - Search & Extract

tugelbay/rag-web-browser

Google search + public URLs to Markdown/text/HTML for RAG and AI agents. Guide: https://konabayev.com/tools/rag-web-browser/?utm_source=apify_info&utm_medium=referral&utm_campaign=rag-web-browser

Tugelbay Konabayev

RAG Web Browser

scrapier/rag-web-browser

🌐 RAG Web Browser (rag-web-browser) is an intelligent tool for retrieving and generating answers from web sources with RAG. ⚡ Speed up research, get accurate citations, and streamline workflows for developers & analysts.