The Web Crawler for AI Agents and LLMs

Collect web data for AI agents, RAG pipelines, and data analysis. Spider offers the speed and structured output formats your project needs at any scale.

100,000+

pages/sec

99.5%

success rate

Pay per use

no minimums

Try for free

No credit card required

spider.cloud

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = {
  "url": "https://spider.cloud",
  "return_format": "markdown"
}

response = requests.post('https://api.spider.cloud/scrape',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/scrape', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    url: "https://spider.cloud",
    return_format: "markdown"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/crawl',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/crawl', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/screenshot',
  headers=headers, json=json_data)

# returns base64 encoded image
print(response.json())

const response = await fetch('https://api.spider.cloud/screenshot', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

// returns base64 encoded image
console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/links',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/links', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "search": "top AI crawling tools" }

response = requests.post('https://api.spider.cloud/search',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/search', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    search: "top AI crawling tools"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = {
  "url": "https://spider.cloud",
  "return_format": "markdown"
}

response = requests.post('https://api.spider.cloud/scrape',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/scrape', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    url: "https://spider.cloud",
    return_format: "markdown"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/crawl',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/crawl', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/screenshot',
  headers=headers, json=json_data)

# returns base64 encoded image
print(response.json())

const response = await fetch('https://api.spider.cloud/screenshot', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

// returns base64 encoded image
console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "limit": 5, "url": "https://spider.cloud" }

response = requests.post('https://api.spider.cloud/links',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/links', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    limit: 5,
    url: "https://spider.cloud"
  })
});

console.log(await response.json());

import requests, os

headers = {
    'Authorization': f'Bearer {os.getenv("SPIDER_API_KEY")}',
    'Content-Type': 'application/json',
}

json_data = { "search": "top AI crawling tools" }

response = requests.post('https://api.spider.cloud/search',
  headers=headers, json=json_data)

print(response.json())

const response = await fetch('https://api.spider.cloud/search', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.SPIDER_API_KEY}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    search: "top AI crawling tools"
  })
});

console.log(await response.json());

Integrations with leading AI platforms

Powering AI at Web Scale

The fastest web scraping infrastructure for AI agents, RAG systems, and large-scale data collection.

ENG: PERF_CORE

UNMATCHED_SPEED

Native concurrency crawls 20x faster than alternatives. Streaming results eliminate wait times.

$ spider crawl example.com --limit 100

▶ Connected, streaming 100 pages

▶ Throughput: 850 pages/sec

▶ Avg latency: 12ms

> complete in 1.47s

SYS: BILLING

PAY_PER_USE

Billed to the fraction of a cent. No minimums, no subscriptions. Scale from 1 to 1 million pages seamlessly.

COST_PER_REQUEST LIVE

$ 0 . 0 0 1 1 4 4 2 1

compute $0.000041

ai $0.001074

transfer $0.000026

1 page → 1K pages → 1M pages → same API

SYS: INFRA_SHIELD

RELIABILITY

Auto proxy rotation, anti-bot handling, and headless browser rendering.

Proxy rotation: active

Anti-bot bypass: enabled

Success rate: 99.5%

MOD: AI_EXTRACT

AI_EXTRACTION

Send a prompt, get structured JSON back. No CSS selectors, no XPath, no parsing.

POST /ai/crawl

"prompt": "Extract all prices"

▶ [{ title, price }, ...]

SDK: INTEGRATE

INTEGRATIONS

Drop Spider into any AI stack in minutes. Works with all major frameworks.

LangChain LlamaIndex CrewAI AutoGen Agno Dify

BENCH: PERF_MODES

SPEED_TEST

Benchmarked against tailwindcss.com · 06/16/2024

HTTP → SMART → CHROME

Benchmarks

Start Collecting Data Today

Our web crawling API provides elastic concurrency, multiple output formats, and AI-powered extraction.

PROC: PERF_TUNE

PERF_TUNED

Built for high-throughput web scraping, Spider runs in full concurrency to crawl thousands of pages in seconds.

Throughput: 850 p/s

p99 latency: 12ms

Concurrency: 100K

FMT: OUTPUT

RESPONSE_FORMATS

Get clean formatted markdown, HTML, and text content for fine-tuning or training AI models.

markdown html text raw

# Product Page

Clean extracted content ready

for your LLM pipeline...

OPT: CACHE

HTTP_CACHE

Boost speed by caching repeated crawls to minimize expenses while building.

HIT

2,847

MISS

153

hit rate 94.9%

SYS: SMART

SMART_MODE

Dynamically switch to Chrome to render JavaScript when needed.

HTTP → fast static

JS → Chrome render

AUTO → smart detect

API: SEARCH

SEARCH

Perform stable and accurate SERP requests with a single API.

GET /search?q=...

▶ [{ url, title }, ...]

CORE: LLM_READY

BUILT_FOR_LLMS

Don't let crawling and scraping be the highest latency in your LLM & AI agent stack.

CRAWL PARSE FORMAT LLM

WHY SPIDER

Purpose-built for AI agents

Speed, reliability, and structured output for every agent stack.

Collect data easily

Auto proxy rotations
Low latency responses
99.5% average success rate
Headless browsers
Markdown responses

The Fastest Web Crawler

Powered by spider-rs
100,000 pages/seconds
Unlimited concurrency
Simple consistent API
50,000 requests per minute

Do more with AI

Browser scripting
Advanced data extraction
Streamlined data pipelines
Ideal for LLMs and AI Agents
Precise labeling content

Join the Community

Backed by a network of early advocates, contributors, and supporters.

GitHub discussions Discord chat

@iammerrick

Rust based crawler Spider is next level for crawling & scraping sites. So fast. Their cloud offering is also so easy to use. Good stuff. https://github.com/spider-rs/spider

@WilliamEspegren

Web crawler built in rust, currently the nr1 performance in the world with crazy resource management Aaaaaaand they have a cloud offer, that's wayyyy cheaper than any competitor Name a reason for me to use anything else? github.com/spider-rs/spid…

@gasa

@spider_rs is the best crawling tool i have used. I had a complicated project where i needed to paste url and get the website whole website data. Spider does it in an instant

@Ashpreet Bedi

@spider_rs is THE best crawler out there, give it a try

@Troyusrex

I found a new tool, Spider-rs, which scrapes significantly faster and handles more scenarios than the basic scraper I built did. Our use of Spider-rs and AWS infrastructure reduced the scraping time from four months to under a week.

@Dify.AI

🕷️ Spider @spider_rust can be used as a built-in tool in #Dify Workflow or as an LLM-callable tool in Agent. It allows fast and affordable web scraping and crawling when your AI applications need real-time web data for context.

Get AI-ready data with zero friction

Start crawling in under 30 seconds. No credit card required for new accounts to try out.

Try for free

Read the docs

Frequently Asked Questions

Everything you need to know about Spider.

What is Spider?

Spider is a fast web scraping and crawling API designed for AI agents, RAG pipelines, and LLMs. It supports structured data extraction and multiple output formats including markdown, HTML, JSON, and plain text.

How can I try Spider?

Purchase credits for our cloud system or test the Open-Source Spider engine to explore its capabilities.

What are the rate limits?

Every account can make up to 50,000 core API requests per second.

Can you crawl all pages?

Yes, Spider accurately crawls all necessary content without needing a sitemap ethically. We rate-limit individual URLs per minute to balance the load on a web server.

What formats can Spider convert web data into?

Spider outputs HTML, raw, text, and various markdown formats. It supports JSON, JSONL, CSV, and XML for API responses.

Does it respect robots.txt?

Yes, compliance with robots.txt is default, but you can disable this if necessary.