Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
中文简介正在准备中。当前显示原文说明。
Extract title, summary, steps, related links, and last updated date from a public help center article.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Support teams use this recipe to ingest public help center pages into structured support and knowledge-base workflows. Extract article titles, summaries, steps, related links, and update dates.
Website Extraction (1 credit per website extraction)
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
curl -X POST https://api.iterationlayer.com/website-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"url": "https://example.com/help/reset-password"
},
"schema": {
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractWebsite({
file: {
type: "url",
url: "https://example.com/help/reset-password",
},
schema: {
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_website(
file={
"type": "url",
"url": "https://example.com/help/reset-password",
},
schema={
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
},
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractWebsite(il.ExtractWebsiteRequest{
File: il.UrlFileInput{
Type: "url",
Url: "https://example.com/help/reset-password",
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "article_title",
Type: "TEXT",
Description: "Help article title",
},
il.TextareaFieldConfig{
Name: "summary",
Type: "TEXTAREA",
Description: "Short support article summary",
},
il.ArrayFieldConfig{
Name: "steps",
Type: "ARRAY",
Description: "Step-by-step instructions",
Fields: []any{
il.TextFieldConfig{
Name: "step",
Type: "TEXT",
Description: "One instruction step",
},
},
},
il.ArrayFieldConfig{
Name: "related_links",
Type: "ARRAY",
Description: "Related article links",
Fields: []any{
il.TextFieldConfig{
Name: "link",
Type: "TEXT",
Description: "Related link label or URL",
},
},
},
il.DateFieldConfig{
Name: "last_updated",
Type: "DATE",
Description: "Last updated date",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Help Center Article from Website",
"nodes": [
{
"parameters": {
"content": "## Extract Help Center Article from Website\n\nSupport teams use this recipe to ingest public help center pages into structured support and knowledge-base workflows. Extract article titles, summaries, steps, related links, and update dates.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes before importing. Self-hosted n8n only.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "70b20598-1fe1-5def-b9ce-a7002978b11c",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Website Data\nResource: **Website Extraction**\n\nConfigure the public website URL and schema below, then connect your credentials.",
"height": 160,
"width": 320,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "90cae498-2bc1-586c-b612-b2e20ae43702",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "c92ba5a0-b1c1-5e10-b1bb-768ed57773fc",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "websiteExtraction",
"fileUrl": "https://example.com/help/reset-password",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"article_title\",\"type\":\"TEXT\",\"description\":\"Help article title\"},{\"name\":\"summary\",\"type\":\"TEXTAREA\",\"description\":\"Short support article summary\"},{\"name\":\"steps\",\"type\":\"ARRAY\",\"description\":\"Step-by-step instructions\",\"fields\":[{\"name\":\"step\",\"type\":\"TEXT\",\"description\":\"One instruction step\"}]},{\"name\":\"related_links\",\"type\":\"ARRAY\",\"description\":\"Related article links\",\"fields\":[{\"name\":\"link\",\"type\":\"TEXT\",\"description\":\"Related link label or URL\"}]},{\"name\":\"last_updated\",\"type\":\"DATE\",\"description\":\"Last updated date\"}]}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
520,
300
],
"id": "1f680089-530b-5f93-b00e-ad61432abb7e",
"name": "Extract Website Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Website Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract structured data from the public website page at [website URL]. Use the extract_website tool with this schema:
- article_title (TEXT): Help article title
- summary (TEXTAREA): Short support article summary
- steps (ARRAY): Step-by-step instructions. Each item has step (TEXT)
- related_links (ARRAY): Related article links. Each item has link (TEXT)
- last_updated (DATE): Last updated date
{
"success": true,
"data": {
"article_title": {
"type": "TEXT",
"value": "Reset your password",
"confidence": 0.97,
"citations": [
"Reset your password"
],
"source": "website.html"
},
"steps": {
"type": "ARRAY",
"value": [
"Open Account Settings",
"Choose Security",
"Select Reset Password"
],
"confidence": 0.9,
"citations": [
"Open Account Settings > Security"
],
"source": "website.html"
},
"last_updated": {
"type": "DATE",
"value": "2026-03-30",
"confidence": 0.87,
"citations": [
"Updated March 30, 2026"
],
"source": "website.html"
}
}
}
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。
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
中文简介正在准备中。当前显示原文说明。
Compress an image to fit within a specific file size in bytes using quality-first compression.
中文简介正在准备中。当前显示原文说明。
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
中文简介正在准备中。当前显示原文说明。
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
中文简介正在准备中。当前显示原文说明。
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
中文简介正在准备中。当前显示原文说明。
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
中文简介正在准备中。当前显示原文说明。