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Generate

Image GenerationCreate and edit images from prompts or references.Video GenerationCreate motion outputs from text and image inputs.Music GenerationProduce music tracks through one runtime.Audio GenerationGenerate speech, dialogue, sound effects, and complete audio scenes from text, audio, or image input.

Understand

Image UnderstandingRead screenshots, diagrams, and visual references.Video AnalysisInspect recordings and extract structured details.Audio UnderstandingTranscribe and analyze voice and audio files.

Retrieve

Web SearchSearch the web from the same agent workflow.Grounded Web SearchReturn synthesized answers with live citations.Web CrawlFetch pages and convert them into clean content.

Store

DriveStore outputs, organize assets, and create public URLs.
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Capabilities · Last updated April 13, 2026

Web Crawl
for AI agents

AnyCap web crawl gives agents a direct URL-to-Markdown extraction path through one CLI. Instead of wiring a separate crawling, scraping, or content extraction API, the agent can fetch a known page, normalize the content, and move it into the rest of the workflow through the same capability runtime used for search, generation, and analysis.

Equip your AgentWeb SearchGrounded Search
Search intentweb crawl apicontent extraction apicrawl api ai agentsweb scraping api ai agents

Read the source.

A known URL turns into clean Markdown the agent can reason over.

Agents do not need another disconnected tool.
They need the capability inside the workflow.

AnyCap turns capability access into agent action.

The short answer

Use AnyCap web crawl when the agent already knows the URL and needs clean page content, not a result list.

01

Known URLs become normalized Markdown without a separate scraping stack.

02

Crawl complements search: search discovers candidates, crawl extracts the chosen page.

03

Extracted content can flow into research, writing, coding, and citation workflows.


How web crawl fits an AnyCap workflow

01 / Select

The agent starts from a known URL, or receives one after a web search step has identified the right source.

02 / Extract

AnyCap fetches the page and returns clean content that is easier for models and downstream tools to process.

03 / Reuse

The agent can summarize, compare, quote, transform, or feed the extracted content into a larger workflow.


CLI usage

Read a known URL

anycap crawl https://example.com

Get the page title only

anycap crawl https://go.dev | jq -r '.data.title'

Extract Markdown content

anycap crawl https://docs.go.dev/ref/spec | jq -r '.data.markdown'

When agents need web crawl

Use case 1

Convert known URLs into clean Markdown for downstream summarization or analysis.

Use case 2

Extract documentation pages without maintaining a separate scraping stack.

Use case 3

Fetch content directly when search has already identified the right source page.

Use case 4

Normalize web page content before feeding it into a research, writing, or coding workflow.


Related pages

Related capability

Web Search

Search helps discover candidate pages before crawl extracts the content of the chosen URL.

Related capability

Grounded Web Search

Use grounded search when the workflow needs a synthesized answer with citations.

Pricing

Pricing

See crawl pricing alongside search and the rest of the capability stack.


FAQ

What does AnyCap web crawl let agents do?

It lets agents take a known URL and convert the page into clean Markdown through one CLI command. That makes web crawl a practical content extraction layer for documentation, articles, and reference pages.

Why not just call this scraping?

Scraping, crawl API, web data API, and content extraction API are all adjacent market terms. Web crawl is the capability label, but the page should also serve the broader content extraction intent because that is how demand usually appears.

When should teams use crawl instead of search?

Use crawl when the target URL is already known and the agent needs the page content itself. Use search when the workflow still needs discovery or source selection.

Why is Markdown conversion useful for AI agents?

Because Markdown is easier for downstream tools and models to process consistently. It reduces the amount of HTML cleanup or extraction logic teams need to maintain on their own.

Let your agent read the page.

Use crawl when the source is already known and the agent needs clean content it can reuse without rebuilding extraction logic.

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