Extract webpage content from a URL through 9Router and receive Markdown, plain text, or HTML. Choose among supported extraction services, limit output length, or use a fallback chain that tries another provider when needed.
中文简介正在准备中。当前显示英语简介。
Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Ollama Cloud / Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.
安装前可以查看交给 AI 代理的指令内容。
Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
curl $NINEROUTER_URL/v1/models/web | jq '.data[] | select(.kind=="webFetch") | .id'
# Per-provider params
curl "$NINEROUTER_URL/v1/models/info?id=firecrawl/fetch"
IDs end in /fetch (e.g. firecrawl/fetch, jina/fetch). fetch-combo chains providers with auto-fallback.
POST $NINEROUTER_URL/v1/web/fetch
| Field | Required | Notes |
|---|---|---|
model (or provider) | yes | from /v1/models/web (e.g. firecrawl or jina-reader) |
url | yes | URL to extract |
format | no | markdown (default) / text / html |
max_characters | no | truncate output |
curl -X POST $NINEROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"jina-reader","url":"https://9router.com","format":"markdown"}'
curl -X POST $NINEROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"exa","url":"https://example.com","format":"markdown","max_characters":0}'
curl -X POST $NINEROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"firecrawl","url":"https://example.com","format":"markdown","max_characters":0}'
curl -X POST $NINEROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"tavily","url":"https://example.com","format":"markdown","max_characters":0}'
Uses the API key from the existing ollama connection.
curl -X POST $NINEROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ollama","url":"https://example.com","format":"markdown"}'
JS:
const r = await fetch(`${process.env.NINEROUTER_URL}/v1/web/fetch`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.NINEROUTER_KEY}`, "Content-Type": "application/json" },
body: JSON.stringify({ model: "fetch-combo", url: "https://example.com", format: "markdown", max_characters: 5000 }),
});
const { data } = await r.json();
console.log(data.title, data.content.length);
{
"provider": "jina-reader",
"url": "...",
"title": "...",
"content": { "format": "markdown", "text": "...", "length": 1234 },
"links": ["https://example.com/related"],
"metadata": { "author": null, "published_at": null, "language": null },
"usage": { "fetch_cost_usd": 0 },
"metrics": { "response_time_ms": 850, "upstream_latency_ms": 700 }
}
links is included when the upstream provider returns discovered page links (currently Ollama Cloud).
| Provider | Auth | Best for |
|---|---|---|
firecrawl | Bearer | JS-rendered pages, format=markdown/html |
jina-reader | Bearer (optional) | Free tier (~1M chars/mo); fastest plain markdown |
tavily | Bearer | Bulk extract; returns raw_content |
exa | x-api-key | Pre-indexed pages; fast text extraction |
ollama | Bearer | Markdown plus page title and discovered links; uses the Ollama Cloud key |
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Set up access to 9Router, a shared gateway for multiple AI providers, and discover available models. Find the relevant capability skills for chat, images, speech, embeddings, web search, and webpage retrieval.
中文简介正在准备中。当前显示英语简介。
Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.
中文简介正在准备中。当前显示英语简介。
Turn text into embeddings, numeric representations of meaning, through 9Router. Choose a model and process individual texts or batches to prepare data for meaning-based search, similarity comparisons, or RAG systems that retrieve reference material.
中文简介正在准备中。当前显示英语简介。
Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.
中文简介正在准备中。当前显示英语简介。
Transcribe audio files through 9Router using models from providers such as OpenAI, Groq, and Deepgram. Receive plain text, structured results with timestamps, or SRT and VTT subtitles, depending on the selected model’s support.
中文简介正在准备中。当前显示英语简介。
Convert written text into speech through 9Router, choosing from multiple voice providers. Check available models and voices, then generate MP3 audio for narration, voiceovers, or reading text aloud.
中文简介正在准备中。当前显示英语简介。