Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract role title, location, salary range, requirements, and application details from a public job posting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Recruiting teams use this recipe to convert public job posts into structured records for matching and reporting. Extract role details, requirements, salary ranges, and application links from career pages.
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/careers/senior-platform-engineer"
},
"schema": {
"fields": [
{
"name": "role_title",
"type": "TEXT",
"description": "Job title"
},
{
"name": "location",
"type": "TEXT",
"description": "Job location or remote policy"
},
{
"name": "salary_range",
"type": "TEXT",
"description": "Compensation or salary range"
},
{
"name": "requirements",
"type": "ARRAY",
"description": "Required qualifications",
"fields": [
{
"name": "requirement",
"type": "TEXT",
"description": "One requirement"
}
]
},
{
"name": "application_url",
"type": "TEXT",
"description": "URL or instructions for applying"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractWebsite({
file: {
type: "url",
url: "https://example.com/careers/senior-platform-engineer",
},
schema: {
"fields": [
{
"name": "role_title",
"type": "TEXT",
"description": "Job title"
},
{
"name": "location",
"type": "TEXT",
"description": "Job location or remote policy"
},
{
"name": "salary_range",
"type": "TEXT",
"description": "Compensation or salary range"
},
{
"name": "requirements",
"type": "ARRAY",
"description": "Required qualifications",
"fields": [
{
"name": "requirement",
"type": "TEXT",
"description": "One requirement"
}
]
},
{
"name": "application_url",
"type": "TEXT",
"description": "URL or instructions for applying"
}
]
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_website(
file={
"type": "url",
"url": "https://example.com/careers/senior-platform-engineer",
},
schema={
"fields": [
{
"name": "role_title",
"type": "TEXT",
"description": "Job title"
},
{
"name": "location",
"type": "TEXT",
"description": "Job location or remote policy"
},
{
"name": "salary_range",
"type": "TEXT",
"description": "Compensation or salary range"
},
{
"name": "requirements",
"type": "ARRAY",
"description": "Required qualifications",
"fields": [
{
"name": "requirement",
"type": "TEXT",
"description": "One requirement"
}
]
},
{
"name": "application_url",
"type": "TEXT",
"description": "URL or instructions for applying"
}
]
},
)
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/careers/senior-platform-engineer",
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "role_title",
Type: "TEXT",
Description: "Job title",
},
il.TextFieldConfig{
Name: "location",
Type: "TEXT",
Description: "Job location or remote policy",
},
il.TextFieldConfig{
Name: "salary_range",
Type: "TEXT",
Description: "Compensation or salary range",
},
il.ArrayFieldConfig{
Name: "requirements",
Type: "ARRAY",
Description: "Required qualifications",
Fields: []any{
il.TextFieldConfig{
Name: "requirement",
Type: "TEXT",
Description: "One requirement",
},
},
},
il.TextFieldConfig{
Name: "application_url",
Type: "TEXT",
Description: "URL or instructions for applying",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Job Listings from Website",
"nodes": [
{
"parameters": {
"content": "## Extract Job Listings from Website\n\nRecruiting teams use this recipe to convert public job posts into structured records for matching and reporting. Extract role details, requirements, salary ranges, and application links from career pages.\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": "bfce2742-61e9-5ce0-9b37-cf99740685b3",
"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": "f854d791-1d89-5d0b-8836-106b65106258",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "47b5ee48-e49d-5c8f-ad13-aac100a6329c",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "websiteExtraction",
"fileUrl": "https://example.com/careers/senior-platform-engineer",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"role_title\",\"type\":\"TEXT\",\"description\":\"Job title\"},{\"name\":\"location\",\"type\":\"TEXT\",\"description\":\"Job location or remote policy\"},{\"name\":\"salary_range\",\"type\":\"TEXT\",\"description\":\"Compensation or salary range\"},{\"name\":\"requirements\",\"type\":\"ARRAY\",\"description\":\"Required qualifications\",\"fields\":[{\"name\":\"requirement\",\"type\":\"TEXT\",\"description\":\"One requirement\"}]},{\"name\":\"application_url\",\"type\":\"TEXT\",\"description\":\"URL or instructions for applying\"}]}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
520,
300
],
"id": "966c2c61-d9c3-53a9-94dd-15426091d99f",
"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:
- role_title (TEXT): Job title
- location (TEXT): Job location or remote policy
- salary_range (TEXT): Compensation or salary range
- requirements (ARRAY): Required qualifications. Each item has requirement (TEXT)
- application_url (TEXT): URL or instructions for applying
{
"success": true,
"data": {
"role_title": {
"type": "TEXT",
"value": "Senior Platform Engineer",
"confidence": 0.98,
"citations": [
"Senior Platform Engineer"
],
"source": "website.html"
},
"location": {
"type": "TEXT",
"value": "Remote, EU time zones",
"confidence": 0.91,
"citations": [
"Remote - EU time zones"
],
"source": "website.html"
},
"salary_range": {
"type": "TEXT",
"value": "EUR 85,000 - EUR 110,000",
"confidence": 0.89,
"citations": [
"\u20ac85k-\u20ac110k"
],
"source": "website.html"
}
}
}
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Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.