Web Crawling
Scrapingdog's dedicated web crawling API allows you to scan all the pages on a domain and return them as clean, LLM-ready content.
Use Scrapingdog's General Scraping API to instantly turn any webpage into clean, structured Markdown/JSON, perfect for feeding data directly into LLM, without the hassle of parsing or cleaning.
# Scrapingdog: Best Web Scraping API Scrapingdog is your all-in-one Web Scraping API, effortlessly managing proxies and headless browsers, allowing you to extract the data you need with ease. ## Why Scrapingdog - **Real Browser Rendering**, headless Chrome opens every JavaScript-heavy or lazy-loaded page just like a real browser. - **Rotating Proxies**, a built-in proxy pool rotates IPs on every request so you never get blocked. - **Structured Output**, get clean Markdown or JSON, ready to feed straight into an LLM. [Get Started](https://www.scrapingdog.com/)
{
"title": "Scrapingdog: Best Web Scraping API",
"price": "$40/month",
"rating": "4.8",
"summary": "All-in-one Web Scraping API that manages proxies and headless browsers so you can extract clean, LLM-ready data with ease.",
"metadata": {
"language": "en",
"canonical": "https://www.scrapingdog.com/",
"word_count": 1284
}
}{
"pages_crawled": 42,
"results": [
{
"url": "https://www.scrapingdog.com/",
"markdown": "# Scrapingdog: Best Web Scraping API\n\nScrapingdog is your all-in-one Web Scraping API ...",
"content_type": "text/html"
},
{
"url": "https://www.scrapingdog.com/blog/",
"markdown": "# Scrapingdog Blog\n\nDesigned with you in mind, our web scraping ...",
"content_type": "text/html"
}
]
}import requests
api_key = "5eaa61a6e562fc52fe763tr516e4653"
url = "https://api.scrapingdog.com/scrape"
params = {
"api_key": api_key,
"url": "https://example.com",
"dynamic": "true",
"markdown": "true"
}
response = requests.get(url, params=params)
if response.status_code == 200:
data = response.text
print(data)
else:
print(f"Request failed with status code: {response.status_code}")import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.io.IOException;
public class Main {
public static void main(String[] args) {
try {
// Set the API key and request parameters
String apiKey = "5eaa61a6e562fc52fe763tr516e4653";
String targetUrl = "https://example.com";
String dynamic = "true";
String markdown = "true";
// Construct the API endpoint URL
String apiUrl = "https://api.scrapingdog.com/scrape?api_key=" + apiKey
+ "&url=" + targetUrl
+ "&dynamic=" + dynamic
+ "&markdown=" + markdown;
URL url = new URL(apiUrl);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod("GET");
int responseCode = connection.getResponseCode();
if (responseCode == 200) {
BufferedReader reader = new BufferedReader(new InputStreamReader(connection.getInputStream()));
String inputLine;
StringBuilder response = new StringBuilder();
while ((inputLine = reader.readLine()) != null) {
response.append(inputLine);
}
reader.close();
System.out.println(response.toString());
} else {
System.out.println("HTTP request failed with response code: " + responseCode);
}
connection.disconnect();
} catch (IOException e) {
e.printStackTrace();
}
}
}<?php
// Set the API key and request parameters
$api_key = '5eaa61a6e562fc52fe763tr516e4653';
$target_url = 'https://example.com';
$dynamic = 'true';
$markdown = 'true';
// Set the API endpoint
$url = 'https://api.scrapingdog.com/scrape?api_key=' . $api_key . '&url=' . $target_url . '&dynamic=' . $dynamic . '&markdown=' . $markdown;
// Initialize cURL session
$ch = curl_init($url);
// Set cURL options
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
// Execute the cURL request
$response = curl_exec($ch);
// Check if the request was successful
if ($response === false) {
echo 'cURL error: ' . curl_error($ch);
} else {
echo $response;
}
// Close the cURL session
curl_close($ch);require 'net/http'
require 'uri'
# Set the API key and request parameters
api_key = '5eaa61a6e562fc52fe763tr516e4653'
target_url = 'https://example.com'
dynamic = 'true'
markdown = 'true'
# Construct the API endpoint URL
url = URI.parse("https://api.scrapingdog.com/scrape?api_key=#{api_key}&url=#{target_url}&dynamic=#{dynamic}&markdown=#{markdown}")
# Create an HTTP GET request
request = Net::HTTP::Get.new(url)
# Create an HTTP client
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true # Enable SSL (https)
# Send the request and get the response
response = http.request(request)
# Check if the request was successful
if response.is_a?(Net::HTTPSuccess)
puts response.body
else
puts "HTTP request failed with code: #{response.code}, message: #{response.message}"
endconst axios = require('axios');
const api_key = '5eaa61a6e562fc52fe763tr516e4653';
const url = 'https://api.scrapingdog.com/scrape';
const params = {
api_key: api_key,
url: 'https://example.com',
dynamic: 'true',
markdown: 'true',
};
axios
.get(url, { params: params })
.then(function (response) {
if (response.status === 200) {
const data = response.data;
console.log(data);
} else {
console.log('Request failed with status code: ' + response.status);
}
})
.catch(function (error) {
console.error('Error making the request: ' + error.message);
});markdownheadingslinksliststablescode_blocksai_queryai_extract_rulestitlepriceratingsummarylanguagecanonicalword_countcontent_typestatus_codepages_crawledresultsurldepthdiscovered_linkspdfdocxparsed_textpagesmediadynamicwaitaction_queuescreenshotpremiumFeeding the web into an LLM by hand means raw HTML, boilerplate noise, and context that goes stale the moment you index it.
Navbars, cookie banners, footers, and ad markup bloat every page, wasting tokens and burying the signal your model needs.
React, Vue, and Angular apps ship near-empty HTML. Without a real browser to render them, your scraper captures nothing usable.
Stripping tags, rebuilding tables and code into Markdown, then chunking it for a vector store is fragile glue code to maintain.
A RAG index built on one-off scrapes drifts out of date fast, and selectors break silently, so your model answers from old context.
One API call turns any page into clean Markdown or JSON, with proxies, rendering, parsing, and scaling all handled for you.
Websites constantly change layout, and ultimately your workflow stops. Our API adapts to changes, with no downtime, no recoding, and no data loss.
Easily define your format, and AI will deliver your data in that same format every time.
Give the prompt in simple English, and get the exact data such as pricing, review, title, etc. Save time and effort in parsing!
Scrapingdog can scale as you scale, and your data pipeline can continuously flow without hiccups.
Scrapingdog's dedicated web crawling API allows you to scan all the pages on a domain and return them as clean, LLM-ready content.
Scrapingdog can parse the content from files, including DOCX and PDFs, turning them into clean text or structured JSON.
Pulls data after the last pixel paints, keeping layout-dependent info intact so nothing is missed.
Stack Navigate, Click, Type, Wait, Screenshot, and Scrape, then run them in order before extraction.
Scrapingdog can scale as you scale, and your data pipeline can continuously flow without hiccups.
Handles React, Vue, Angular, or plain jQuery without a single tweak, rendering every page like a real browser.
Feed clean Markdown into your chatbot so it answers questions grounded in real, up-to-date web content.
Turn company and prospect pages into structured fields like name, title, and pricing to enrich your CRM automatically.
Power Model Context Protocol servers with live, LLM-ready web data so your agents always work from fresh context.
Supply your AI platform with clean Markdown and JSON at scale, without building and maintaining your own scraping stack.
Crawl across domains and convert every page into clean content for deep research agents and long-form synthesis.
Continuously convert websites, docs, and files into structured content to keep your knowledge base and RAG index current.
Sign up and get 200 free credits to start testing the API.
Access your unique API key from the dashboard and use it to scrape the data.
Call /scrape with a target url and markdown=true for clean Markdown output.
Get boilerplate-free Markdown or JSON to chunk, embed, and feed into your RAG index.
Start your web scraping journey with 200 free credits. Test our service and upgrade to one of the plans below. Cancel anytime.

ScrapingDog on my first test try knocked out a complex scrape that I'd been unable to do with various other methods.
United States
The API is one of the best in the market for me, simple to grasp and powerful to use.
United Arab Emirates
A lifesaver service. Allowed us to solve the last piece of the puzzle.
Latvia
Reliable, and simple to use! Itβs also inexpensive and has packaged solutions for every need (Google, LinkedIn). Highly recommend.
France
Scrapingdog's AI Web Scraping API allows you to get a particular data point from a URL with a simple prompt.
With a normal web scraping API, you only get data in HTML format, then you have to parse it to get the desired one. With the AI Web Scraping API, you get clean Markdown or JSON, ready to feed directly into an LLM.
Yes, you can try the API for free with 200 credits to see if it works for you, and then commit to a paid plan.
Each API request consumes a certain number of credits based on the dedicated API you're using. For example, the Google Search API costs 5 credits per request. So, if you make one request to the Google Search API, it will deduct 5 credits from the available credits in your account.
Get 200 free credits to spin the API. No credit card required!