Artificial Intelligence: A Modern Approach, Global Edition
price
EUR 62.14
format
Paperback
title
Co-Intelligence: Living and Working with AI
price
EUR 0.00 (Kindle Unlimited)
format
Kindle
title
The AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions
price
EUR 0.00 (Audible)
format
Audiobook
Input Preview
https://ai.google.dev/gemini-api/docs
Output Preview
product_name
Gemini API
tagline
The fastest path from prompt to production with Gemini, Veo, Nano Banana, and more.
models
name
Gemini 3
category
Language
name
Nano Banana
category
Language
name
Veo
category
Video
name
Imagen
category
Image
sdk_languages
language
Python
language
JavaScript
language
Go
language
Java
Request
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/pricing"
},
"schema": {
"fields": [
{
"name": "plan_name",
"type": "TEXT",
"description": "The name of the pricing plan"
},
{
"name": "monthly_price",
"type": "CURRENCY_AMOUNT",
"description": "The advertised monthly price"
},
{
"name": "features",
"type": "ARRAY",
"description": "Included plan features",
"fields": [
{
"name": "feature",
"type": "TEXT",
"description": "Feature label"
}
]
}
]
}
}'
Response
{"success":true,"data":{"plan_name":{"type":"TEXT","value":"Startup","confidence":0.97,"citations":["Startup — $119 per month"],"source":"pricing.html"},"monthly_price":{"type":"CURRENCY_AMOUNT","value":119,"confidence":0.95,"citations":["$119 per month"],"source":"pricing.html"}}}
Request
import{IterationLayer}from"iterationlayer";constclient=newIterationLayer({apiKey:"YOUR_API_KEY",});constresult=awaitclient.extractWebsite({file:{type:"url",url:"https://example.com/pricing",},schema:{fields:[{type:"TEXT",name:"plan_name",description:"The name of the pricing plan"},{type:"CURRENCY_AMOUNT",name:"monthly_price",description:"The advertised monthly price"},{type:"ARRAY",name:"features",description:"Included plan features",fields:[{type:"TEXT",name:"feature",description:"Feature label"}],},],},});
Response
{"success":true,"data":{"plan_name":{"type":"TEXT","value":"Startup","confidence":0.97,"citations":["Startup — $119 per month"],"source":"pricing.html"},"monthly_price":{"type":"CURRENCY_AMOUNT","value":119,"confidence":0.95,"citations":["$119 per month"],"source":"pricing.html"}}}
Request
fromiterationlayerimportIterationLayerclient=IterationLayer(api_key="YOUR_API_KEY")result=client.extract_website(file={"type":"url","url":"https://example.com/pricing",},schema={"fields":[{"type":"TEXT","name":"plan_name","description":"The name of the pricing plan"},{"type":"CURRENCY_AMOUNT","name":"monthly_price","description":"The advertised monthly price"},{"type":"ARRAY","name":"features","description":"Included plan features","fields":[{"type":"TEXT","name":"feature","description":"Feature label"}],},]},)
Response
{"success":true,"data":{"plan_name":{"type":"TEXT","value":"Startup","confidence":0.97,"citations":["Startup — $119 per month"],"source":"pricing.html"},"monthly_price":{"type":"CURRENCY_AMOUNT","value":119,"confidence":0.95,"citations":["$119 per month"],"source":"pricing.html"}}}
Request
importil"github.com/iterationlayer/sdk-go"client:=il.NewClient("YOUR_API_KEY")result,err:=client.ExtractWebsite(il.ExtractWebsiteRequest{File:il.NewWebsiteFromURL("https://example.com/pricing"),Schema:il.ExtractionSchema{"plan_name":il.NewTextFieldConfig("plan_name","The name of the pricing plan"),"monthly_price":il.NewCurrencyAmountFieldConfig("monthly_price","The advertised monthly price"),"features":il.NewArrayFieldConfig("features","Included plan features",[]il.FieldConfig{il.NewTextFieldConfig("feature","Feature label"),}),},})
Response
{"success":true,"data":{"plan_name":{"type":"TEXT","value":"Startup","confidence":0.97,"citations":["Startup — $119 per month"],"source":"pricing.html"},"monthly_price":{"type":"CURRENCY_AMOUNT","value":119,"confidence":0.95,"citations":["$119 per month"],"source":"pricing.html"}}}
Use the same workflow from code, agents, or n8n
When an automation moves from prototype to production, you should not have to rebuild it for every environment. Iteration Layer lets scripts, agents, and n8n workflows call the same European AI workflow runtime.
Input
40+ file formats
Extraction
Document, website and
markdown extraction
Generation
Document, image and
sheet generation
Output
Standardized format
Fits into your existing stack
Native SDKs for TypeScript, Python, and Go. OpenAPI spec for everything else. MCP server for AI agents and Claude Code skills. n8n integration for visual workflows.
EU AI workflow runtime
Run document, image, and file steps through one EU-hosted workflow layer with shared API conventions and billing.
Agent-ready by design
Expose the same document and image actions to MCP tools and Claude Code skills, then reuse the API contract when workflows graduate into scripts or automations.
Verified n8n node
Install the verified Iteration Layer node in n8n, then route documents and generated files through the same provider from visual workflows.
Describe the structured data you want returned using our schema format. Each field has a name, a type, and an optional description to guide extraction.
02
Send a URL
Pass a public URL. The API fetches the page directly by default. Optional fetch options control locale, user agent, timeout, and whether the page should be rendered in the browser.
03
Get structured data
Receive typed JSON with extracted fields, confidence scores, and source citations so you can automate downstream workflows and route uncertain results to review.
Intelligent Extraction
The API automatically selects the best extraction approach for your schema and page content, without stitching together scraping, prompting, and post-processing logic yourself.
Define typed fields — dates, IBANs, currencies, addresses, nested arrays — and get structured JSON back. No selectors, HTML parsing, or prompt post-processing required.
Deep Content Understanding
Pages aren't parsed as raw text patterns. The API understands product pages, pricing tables, article content, job posts, and embedded tables, then extracts field values from that meaning.
Built-In Trust Scores
Every extracted value includes a confidence score and a verbatim source citation from the page content. Use confidence as a workflow gate, citations as review context, and approved values before updating downstream records.
Public Website Fetching
Send a public URL. The API fetches pages directly first, falling back to browser-backed retrieval when you enable fetch options like JavaScript rendering, proxy, or geo-targeting.
No Model Training
Page content is never used to train or improve AI models. This is guaranteed for all plans — not gated behind an enterprise contract.
Real-world pipelines, ready to ship
Each recipe chains multiple APIs into a complete workflow. Pick one, tweak it, and deploy — or use it as a starting point for your own pipeline.
Your data is processed on EU-hosted infrastructure and never stored beyond temporary logs. Zero data retention, GDPR-compliant workflows, and a Data Processing Agreement are available for every customer.
Learn more about our security practices
.
EU-hosted core processing
Application and processing infrastructure runs in Europe, with provider-scope ISO 27001 and BSI C5 evidence documented for procurement reviews.
Zero data retention
Customer files and processing results are not stored after the request. Usage logs are retained for 90 days and automatically deleted.
Clear answers for security teams
Give reviewers the answers they need up front: where files are processed, what is retained, which subprocessors are involved, and how AI inputs, outputs, review gates, and audit records move through each workflow.
Our OCR benchmark shows strong extraction accuracy, reliability, and performance across 41 real workflow files, including forms, invoices, scans, tables, charts, and photos.
Can I extract from private or login-protected pages?
When should I use Website Extraction instead of Document Extraction?
Use Website Extraction when you want structured fields from a single public web page. Use Document Extraction when you have uploaded files, multiple inputs, or mixed formats like PDFs and images in the same request.
What kind of pages can I send to Website Extraction?
Send one public HTTPS URL per request. HTTP URLs are not accepted. Website Extraction is meant for public pages, not login-protected content, private dashboards, or pages that require credentials.
How do fetch options work?
Fetch options give you control over how the page is retrieved. Set a locale to control the Accept-Language header, a timeout for slow pages, a custom user agent, or should_render_javascript: true for single-page apps. Static HTML fetching is the default.
Do I need CSS selectors or custom scraping rules?
No. You define the fields you want in a schema, and the API applies that schema to the fetched page content instead of requiring selectors for each page layout.
What does the response include for each extracted field?
Each field follows the same structure as Document Extraction: type, value, confidence, citations, and source. The response also includes the requested and final url, and rich page metadata for the fetched page.
Can I run Website Extraction asynchronously?
Yes. If you provide a webhook_url, the API returns 201 immediately and sends the result to your HTTPS webhook when processing finishes.
Build your first workflow in minutes
Chain our APIs into a workflow you can test with your own data. Free trial credits included.