# Extract News Article Metadata From Website > Extract headline, author, publication date, summary, category, and named entities from a public news article. - Skill: `iterationlayer/extract-news-article-metadata-from-website` (Agent Skill) - Install (CLI): `npx skillmds@latest add iterationlayer/extract-news-article-metadata-from-website` - Raw SKILL.md: https://api.skillmd.com/api/skills/iterationlayer/extract-news-article-metadata-from-website/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: iterationlayer (https://skillmd.com/u/iterationlayer) - Updated: 2026-09-08 - Page: https://skillmd.com/skills/iterationlayer/extract-news-article-metadata-from-website --- # Extract News Article Metadata from Website Media monitoring teams use this recipe to turn public article pages into structured metadata for research and alerts. Extract headline, author, date, summary, category, and named entities. ## APIs Used Website Extraction (1 credit per website extraction) ## Prerequisites You need an Iteration Layer API key. Get one at [platform.iterationlayer.com](https://platform.iterationlayer.com) during the 7-day trial. For full integration guidance (SDKs, auth, MCP, error handling), see the [Iteration Layer Integration Guide](https://iterationlayer.com/SKILL.md). ## Implementation ```bash 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/news/market-update" }, "schema": { "fields": [ { "name": "headline", "type": "TEXT", "description": "Article headline" }, { "name": "author", "type": "TEXT", "description": "Article author" }, { "name": "published_date", "type": "DATE", "description": "Publication date" }, { "name": "summary", "type": "TEXTAREA", "description": "Short article summary" }, { "name": "entities", "type": "ARRAY", "description": "Named entities mentioned in the article", "fields": [ { "name": "entity", "type": "TEXT", "description": "One named entity" } ] } ] } }' ``` ```typescript import { IterationLayer } from "iterationlayer"; const client = new IterationLayer({ apiKey: "YOUR_API_KEY" }); const result = await client.extractWebsite({ file: { type: "url", url: "https://example.com/news/market-update", }, schema: { "fields": [ { "name": "headline", "type": "TEXT", "description": "Article headline" }, { "name": "author", "type": "TEXT", "description": "Article author" }, { "name": "published_date", "type": "DATE", "description": "Publication date" }, { "name": "summary", "type": "TEXTAREA", "description": "Short article summary" }, { "name": "entities", "type": "ARRAY", "description": "Named entities mentioned in the article", "fields": [ { "name": "entity", "type": "TEXT", "description": "One named entity" } ] } ] }, }); ``` ```python from iterationlayer import IterationLayer client = IterationLayer(api_key="YOUR_API_KEY") result = client.extract_website( file={ "type": "url", "url": "https://example.com/news/market-update", }, schema={ "fields": [ { "name": "headline", "type": "TEXT", "description": "Article headline" }, { "name": "author", "type": "TEXT", "description": "Article author" }, { "name": "published_date", "type": "DATE", "description": "Publication date" }, { "name": "summary", "type": "TEXTAREA", "description": "Short article summary" }, { "name": "entities", "type": "ARRAY", "description": "Named entities mentioned in the article", "fields": [ { "name": "entity", "type": "TEXT", "description": "One named entity" } ] } ] }, ) ``` ```go 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/news/market-update", }, Schema: il.ExtractionSchema{ Fields: []any{ il.TextFieldConfig{ Name: "headline", Type: "TEXT", Description: "Article headline", }, il.TextFieldConfig{ Name: "author", Type: "TEXT", Description: "Article author", }, il.DateFieldConfig{ Name: "published_date", Type: "DATE", Description: "Publication date", }, il.TextareaFieldConfig{ Name: "summary", Type: "TEXTAREA", Description: "Short article summary", }, il.ArrayFieldConfig{ Name: "entities", Type: "ARRAY", Description: "Named entities mentioned in the article", Fields: []any{ il.TextFieldConfig{ Name: "entity", Type: "TEXT", Description: "One named entity", }, }, }, }, }, }) if err != nil { panic(err) } _ = result } ``` ```n8n { "name": "Extract News Article Metadata from Website", "nodes": [ { "parameters": { "content": "## Extract News Article Metadata from Website\n\nMedia monitoring teams use this recipe to turn public article pages into structured metadata for research and alerts. Extract headline, author, date, summary, category, and named entities.\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": "5766ba18-e695-5f62-aaae-932013b93399", "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": "eda4ec81-04b9-5775-abfb-6c49de96d208", "name": "Step 1 Note" }, { "parameters": {}, "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 250, 300 ], "id": "5be9ccc8-fefc-5654-af78-bff133a24904", "name": "Manual Trigger" }, { "parameters": { "resource": "websiteExtraction", "fileUrl": "https://example.com/news/market-update", "schemaInputMode": "rawJson", "schemaJson": "{\"fields\":[{\"name\":\"headline\",\"type\":\"TEXT\",\"description\":\"Article headline\"},{\"name\":\"author\",\"type\":\"TEXT\",\"description\":\"Article author\"},{\"name\":\"published_date\",\"type\":\"DATE\",\"description\":\"Publication date\"},{\"name\":\"summary\",\"type\":\"TEXTAREA\",\"description\":\"Short article summary\"},{\"name\":\"entities\",\"type\":\"ARRAY\",\"description\":\"Named entities mentioned in the article\",\"fields\":[{\"name\":\"entity\",\"type\":\"TEXT\",\"description\":\"One named entity\"}]}]}" }, "type": "n8n-nodes-iterationlayer.iterationLayer", "typeVersion": 1, "position": [ 520, 300 ], "id": "8e5eb38c-9e78-59a2-ac0d-8b7231907bf8", "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" } } ``` ```prompt Extract structured data from the public website page at [website URL]. Use the extract_website tool with this schema: - headline (TEXT): Article headline - author (TEXT): Article author - published_date (DATE): Publication date - summary (TEXTAREA): Short article summary - entities (ARRAY): Named entities mentioned in the article. Each item has entity (TEXT) ``` ### Response ```json { "success": true, "data": { "headline": { "type": "TEXT", "value": "European SaaS Spending Rises in Q1", "confidence": 0.98, "citations": [ "European SaaS Spending Rises in Q1" ], "source": "website.html" }, "author": { "type": "TEXT", "value": "Mara Klein", "confidence": 0.92, "citations": [ "By Mara Klein" ], "source": "website.html" }, "published_date": { "type": "DATE", "value": "2026-04-12", "confidence": 0.9, "citations": [ "April 12, 2026" ], "source": "website.html" } } } ``` ## Links - [Integration guide](https://iterationlayer.com/SKILL.md) - [Full documentation](https://iterationlayer.com/docs) - [OpenAPI spec](https://api.iterationlayer.com/openapi.json) - [Browse all recipes](https://iterationlayer.com/recipes)