The data extraction field guide

EXTRACT.STRUCTURE.BUILD.

Messy sources. Clearer possibilities. Explore practical data extraction API guides for the web, files, AI, and your stack—then build a better path from source to structured data.

Find your extraction guide Read the journal

31 extraction topics10 in-depth guidesOne useful starting point

DATA, NOT DRAMA.

Data extract API neon typography with illustrated source-to-data flow and ExtractAPI.com branding — SOURCE → EXTRACT → VALIDATE → BUILD

WEBSITESJSON + CSVAI + LLMBROWSERS + DEVICESCLOUD + SELF-HOST

Choose your starting point

Different sources.
One clearer direction.

Start with the input you have—or the output you need. Each collection connects the practical choices, access boundaries, and next steps.

Browse all 31 topics ↗

01 / 7 TOPICS

Web & apps

A permitted source. A well-defined record.

Websites · WordPress · Apps

02 / 7 TOPICS

Files & formats

Keep types, identifiers, and relationships intact.

CSV · JSON · SQL · Files

03 / 4 TOPICS

Social & media

Official interfaces, explicit permissions.

X · Instagram · YouTube · Spotify

04 / 8 TOPICS

Browsers & devices

Put the right work on the right runtime.

Browsers · Mobile · Desktop

05 / 2 TOPICS

AI & LLM

Extract supported fields. Review uncertainty.

Documents · Text · Evidence

06 / 3 TOPICS

Cloud & self-host

Control access, job states, and recovery.

AWS · Azure · Your infrastructure

How it works. Actually.

LESS GUESSWORK.
MORE STRUCTURE.

A useful extraction workflow is not a magic scraper. It is a series of decisions you can explain and test.

Point it. Precisely.

Choose an authorized source and a specific task. Define what you need—and what you should leave behind.

Make it make sense.

Map source content into a small schema. Keep identities, timestamps, evidence, and missing values explicit.

Build on the useful.

Deliver accepted records to the next system. Test the handoff and keep partial results and failures visible.

Structure with a purpose

A record you can
actually reason about.

Good data has context. Keep the source, observation time, and field status alongside the useful values. A missing fact should stay missing—not become a confident guess.

Explore a sample record, a matching schema, and a CSV handoff. The examples are downloadable files, not a live extraction service.

Explore the documentation

sample-record.jsonEXAMPLE RECORD

{
  "schema_revision": "1.0",
  "source_id": "catalog-demo-01",
  "observed_at": "2026-09-13T00:00:00Z",
  "record": {
    "name": "Example reusable bottle",
    "price_amount": "24.00",
    "currency": "USD",
    "availability": null
  },
  "issues": [
    "availability_not_present"
  ]
}

Illustrative data · Explicit nulls · A contract, not a live API response

The Extraction Journal

Big ideas.
Practical field notes.

Ten complete guides. Ten neon covers. Real decisions about sources, formats, models, and deployment.

See all 10 articles

Website extract API neon typography with illustrated source-to-data flow and ExtractAPI.com branding

FoundationsJun 30, 2025

From website to useful data.

Choose an authorized retrieval path, identify the right record, and keep page changes from becoming silent errors.

LLM extract API neon typography with illustrated source-to-data flow and ExtractAPI.com branding

AI & LLMMay 18, 2025

Extract meaning. Keep proof.

Design narrow text tasks, constrain untrusted content, and accept fields because the source supports them.

Self-host extract API neon typography with illustrated source-to-data flow and ExtractAPI.com branding

DeploymentJul 14, 2026

Own the stack. Know the work.

Plan worker limits, access controls, secrets, job states, and recovery before deploying your own extraction runtime.

Before you build

Good questions.
Clear boundaries.

Start with the source and the task. These answers help keep the architecture—and the expectations—grounded.

Read all FAQs ↗

What is a data extract API?

It is an interface for obtaining selected information from a source and delivering it as a defined record. A useful design separates retrieval, field extraction, validation, and delivery. Start with the data contract guide.

Does ExtractAPI.com provide a live extraction endpoint?

ExtractAPI.com is an independent publication with guides, reference links, and downloadable example records. It does not issue API keys, process submitted URLs, or host the extraction runtimes described in the articles.

Should I choose JSON, CSV, or a database export?

Choose the format for the receiving system. JSON can retain nested relationships; CSV suits a deliberately flat record; database exports need controlled queries and snapshot rules. The formats guide compares the handoffs.

Can a browser extract content from any website?

No. A normal page has cross-origin access boundaries, and source permissions still apply. A browser extension or a server-side worker introduces different controls, not unlimited authorization. Read the web browser guide.

Are the Chrome, Safari, iOS, and Android pages app downloads?

They are implementation planning guides. This publication does not distribute browser extensions, mobile apps, watch apps, or desktop installers. The platform directory explains suggested roles and boundaries.

How should AI-extracted values be checked?

Use a defined schema, source evidence, business-rule checks, and a reviewed evaluation set. Keep uncertainty explicit and reserve consequential actions for an appropriately authorized workflow. See the AI and LLM collection.