Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
iterationlayer/skills42026年6月9日 更新
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extract-p60-data
Extract structured fields from p60 documents.
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- SKILL.md12.2 KB
SKILL.md（原文）
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Extract P60 Data
Payroll and HR teams use this recipe to extract P60 fields into structured JSON for payroll checks, employee records, and finance reconciliation.
APIs Used
Document Extraction (1 credit per page)
Prerequisites
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.
Implementation
curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"files": [
{
"type": "url",
"name": "p60.pdf",
"url": "https://example.com/documents/p60-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee name"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer name"
},
{
"name": "employee_identifier",
"type": "TEXT",
"description": "Employee, payroll, or taxpayer identifier"
},
{
"name": "period_end_date",
"type": "DATE",
"description": "Pay period, statement, or tax year end date"
},
{
"name": "gross_pay",
"type": "CURRENCY_AMOUNT",
"description": "Gross pay or taxable compensation"
},
{
"name": "tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Tax withheld"
},
{
"name": "social_contributions",
"type": "CURRENCY_AMOUNT",
"description": "Social security or payroll contributions"
},
{
"name": "net_pay",
"type": "CURRENCY_AMOUNT",
"description": "Net pay"
},
{
"name": "currency",
"type": "CURRENCY_CODE",
"description": "Currency code"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "p60.pdf",
"url": "https://example.com/documents/p60-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee name"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer name"
},
{
"name": "employee_identifier",
"type": "TEXT",
"description": "Employee, payroll, or taxpayer identifier"
},
{
"name": "period_end_date",
"type": "DATE",
"description": "Pay period, statement, or tax year end date"
},
{
"name": "gross_pay",
"type": "CURRENCY_AMOUNT",
"description": "Gross pay or taxable compensation"
},
{
"name": "tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Tax withheld"
},
{
"name": "social_contributions",
"type": "CURRENCY_AMOUNT",
"description": "Social security or payroll contributions"
},
{
"name": "net_pay",
"type": "CURRENCY_AMOUNT",
"description": "Net pay"
},
{
"name": "currency",
"type": "CURRENCY_CODE",
"description": "Currency code"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "p60.pdf",
"url": "https://example.com/documents/p60-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee name"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer name"
},
{
"name": "employee_identifier",
"type": "TEXT",
"description": "Employee, payroll, or taxpayer identifier"
},
{
"name": "period_end_date",
"type": "DATE",
"description": "Pay period, statement, or tax year end date"
},
{
"name": "gross_pay",
"type": "CURRENCY_AMOUNT",
"description": "Gross pay or taxable compensation"
},
{
"name": "tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Tax withheld"
},
{
"name": "social_contributions",
"type": "CURRENCY_AMOUNT",
"description": "Social security or payroll contributions"
},
{
"name": "net_pay",
"type": "CURRENCY_AMOUNT",
"description": "Net pay"
},
{
"name": "currency",
"type": "CURRENCY_CODE",
"description": "Currency code"
}
]
}
})
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractDocument(il.ExtractDocumentRequest{
Files: []il.FileInput{
il.FileInput{
Type: "url",
Name: "p60.pdf",
Url: "https://example.com/documents/p60-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "employee_name",
Type: "TEXT",
Description: "Employee name",
},
il.TextFieldConfig{
Name: "employer_name",
Type: "TEXT",
Description: "Employer name",
},
il.TextFieldConfig{
Name: "employee_identifier",
Type: "TEXT",
Description: "Employee, payroll, or taxpayer identifier",
},
il.DateFieldConfig{
Name: "period_end_date",
Type: "DATE",
Description: "Pay period, statement, or tax year end date",
},
il.CurrencyAmountFieldConfig{
Name: "gross_pay",
Type: "CURRENCY_AMOUNT",
Description: "Gross pay or taxable compensation",
},
il.CurrencyAmountFieldConfig{
Name: "tax_withheld",
Type: "CURRENCY_AMOUNT",
Description: "Tax withheld",
},
il.CurrencyAmountFieldConfig{
Name: "social_contributions",
Type: "CURRENCY_AMOUNT",
Description: "Social security or payroll contributions",
},
il.CurrencyAmountFieldConfig{
Name: "net_pay",
Type: "CURRENCY_AMOUNT",
Description: "Net pay",
},
il.CurrencyCodeFieldConfig{
Name: "currency",
Type: "CURRENCY_CODE",
Description: "Currency code",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract P60 Data",
"nodes": [
{
"parameters": {
"content": "## Extract P60 Data\n\nPayroll and HR teams use this recipe to extract P60 fields into structured JSON for payroll checks, employee records, and finance reconciliation.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "extract-p60-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-p60-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"employee_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employee name\"\n },\n {\n \"name\": \"employer_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employer name\"\n },\n {\n \"name\": \"employee_identifier\",\n \"type\": \"TEXT\",\n \"description\": \"Employee, payroll, or taxpayer identifier\"\n },\n {\n \"name\": \"period_end_date\",\n \"type\": \"DATE\",\n \"description\": \"Pay period, statement, or tax year end date\"\n },\n {\n \"name\": \"gross_pay\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Gross pay or taxable compensation\"\n },\n {\n \"name\": \"tax_withheld\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Tax withheld\"\n },\n {\n \"name\": \"social_contributions\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Social security or payroll contributions\"\n },\n {\n \"name\": \"net_pay\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Net pay\"\n },\n {\n \"name\": \"currency\",\n \"type\": \"CURRENCY_CODE\",\n \"description\": \"Currency code\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "p60.pdf",
"fileUrl": "https://example.com/documents/p60-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-p60-data-extract",
"name": "Extract Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract p60 data from the file at [file URL]. Use the extract_document tool with these fields:
- employee_name (TEXT): Employee name
- employer_name (TEXT): Employer name
- employee_identifier (TEXT): Employee, payroll, or taxpayer identifier
- period_end_date (DATE): Pay period, statement, or tax year end date
- gross_pay (CURRENCY_AMOUNT): Gross pay or taxable compensation
- tax_withheld (CURRENCY_AMOUNT): Tax withheld
- social_contributions (CURRENCY_AMOUNT): Social security or payroll contributions
- net_pay (CURRENCY_AMOUNT): Net pay
- currency (CURRENCY_CODE): Currency code
Response
{
"success": true,
"data": {
"employee_name": {
"value": "Employee Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE NAME"
]
},
"employer_name": {
"value": "Employer Name",
"confidence": 0.97,
"citations": [
"EMPLOYER NAME"
]
},
"employee_identifier": {
"value": "Employee Identifier",
"confidence": 0.97,
"citations": [
"EMPLOYEE IDENTIFIER"
]
},
"period_end_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
},
"gross_pay": {
"value": {
"amount": "1234.56",
"currency": "GBP"
},
"confidence": 0.97,
"citations": [
"GBP 1,234.56"
]
},
"tax_withheld": {
"value": {
"amount": "1234.56",
"currency": "GBP"
},
"confidence": 0.97,
"citations": [
"GBP 1,234.56"
]
},
"social_contributions": {
"value": {
"amount": "1234.56",
"currency": "GBP"
},
"confidence": 0.97,
"citations": [
"GBP 1,234.56"
]
},
"net_pay": {
"value": {
"amount": "1234.56",
"currency": "GBP"
},
"confidence": 0.97,
"citations": [
"GBP 1,234.56"
]
},
"currency": {
"value": "GBP",
"confidence": 0.97,
"citations": [
"CURRENCY"
]
}
}
}
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