Extract API for agent-readable pages

Extract API

Turn any public URL into clean text or HTML so agents can read the live web without brittle scraping.

Start for free View Documentation

50%

Lower cost

Clean

Page text

< 500ms

Response time

99.9%

Uptime

Extraction response preview

Turn messy web pages into model-ready context.

GET/web/extract

Agent query

Extract clean text from this URL.

clean text

optional HTML

rendered content

request status

Response contract

citations

structured JSON

cost metadata

freshness signals

See It In Action

One URL in, full page content out — clean, structured, and AI-ready

Request

from desearch_py import Desearch

desearch = Desearch(api_key='your-api-key')

# SDK compatibility method; REST: GET /web/extract
result = await desearch.web_crawl(
  url='https://en.wikipedia.org/wiki/Artificial_intelligence',
  format='html'
)

Response

<html>
  <head><title>Artificial intelligence - Wikipedia</title></head>
  <body>...extracted page HTML...</body>
</html>

Why Choose Desearch?

Decentralized extraction infrastructure with clean output — built for AI agents and data pipelines

Architecture

Desearch

Decentralized

Other Providers

Centralized

Setup Time

Desearch

< 5 minutes

Other Providers

Hours

Cost

Desearch

$0.50/1000 pages

Other Providers

$1.00+/1000 pages

Rate Limit

Desearch

1000+ req/sec

Other Providers

Limited

Full Page Text

Desearch

Yes

Other Providers

Raw HTML only

Structured Data

Desearch

Yes

Other Providers

Varies

JavaScript Rendering

Desearch

Yes

Other Providers

Limited

Open-source

Desearch

Data Validation (Open-source)

Other Providers

Feature	RECOMMENDEDDesearchDecentralized	Other ProvidersCentralized
Architecture	Decentralized(Multiple Providers)	Centralized
Setup Time	< 5 minutes	Hours
Cost	$0.50/1000 pages	$1.00+/1000 pages
Rate Limit	1000+ req/sec	Limited
Full Page Text	Yes(Clean, stripped output)	Raw HTML only
Structured Data	Yes(JSON with metadata)	Varies
JavaScript Rendering	Yes(Dynamic pages supported)	Limited
Open-source	Data Validation (Open-source)	No

Savings Calculator

Pages extracted per month

100,000 pages

You save

$50

per month (50% less)

Desearch: $50.00Others: $100.00

Get Started Discuss on Discord

Trusted by AI innovators worldwide

Built for teams that need fresh web, social, extraction, and cited AI context in production workflows.

bittensor

Chutes

TaoMarketCap

Community Use
Cases

From AI agent knowledge bases to competitive intelligence, Desearch Extract API powers content-driven applications at scale

AI Agent Knowledge

NEW

Feed live web content into AI agents and RAG pipelines for grounded, up-to-date responses

Competitive Intelligence

Extract and monitor competitor pricing pages, product updates, and announcements automatically

Content Extraction

Pull clean article text, author metadata, and publication dates from news and blog pages

SEO & Rank Tracking

Extract landing-page content and monitor changes over time

Data Pipeline Ingestion

Build automated pipelines that ingest, clean, and structure web content at scale

Research & Aggregation

Aggregate structured content from multiple sources for research, reports, and analysis

Frequently Asked Questions

Everything you need to know about Desearch Extract API

Builder community

Get closer to the search network.

Join the channels that help you ship: API examples, hard-query feedback, product release notes, and conversations with the team building Desearch and Subnet 22.

Join Discord API quickstart

Discord

Implementation help, query feedback, and direct product discussion.

Join Discord

X (Twitter)

Product releases, benchmark notes, and Bittensor ecosystem updates.

Follow on X

Release notes and community announcements in a lightweight channel.

Open Telegram

Company updates, partnerships, hiring, and product milestones.

View LinkedIn

Community proof

Builders are already using Desearch for live agent context

Real comments from users wiring Desearch into research, crypto analysis, and agent workflows.

View all voices

ExponentialReed

@ExponentialReed

Totally agree with this, i just connected mine to Bittensor $TAO subnet 22 @desearch_ai with an API end point for X data to help me with subnet analysis and the results are getting where they should be. This could be used by anyone in crypto doing reporting and research and is an incredible opportunity based on pricing.

SN22 is becoming an intelligence layer for agents. And behind agents… come predictions, then portfolio management. Revenue + aligned incentives. The market probably hasn't fully priced this yet.

The forecasting environments just got richer. Starting this Thursday, miners can choose to take on the cost of news retrieval via @desearch_ai The cost limit will move from $0.02 to $0.1 - making our environments ready for heavy forecasting tasks. #SN6 #TAO

// Desearch integration complete crustty now has full social sentiment guidance and its integrated (weighted) in his subnet valuations. All thanks to Bittensor SN22 @desearch_ai Desearch vs. native X API below. I gave him both and asked to research @HermesSubnet, no bias.