// structured web data API

Capture website data as structured JSON

Turn public pages from marketplaces, travel sites, delivery apps, local directories, company databases and other complex sources into production-ready data for AI, BI and automation.

60

ready APIs

33

covered sources

REST + MCP

integrations

URL in → JSON out

request

{
  "url": "https://www.mercadolivre.com.br/produto/sku-789",
  "fields": ["title", "price", "seller", "availability"]
}

response

{
  "source": "mercadolivre.com.br",
  "source_url": ".../produto/sku-789",
  "captured_at": "2026-06-09T10:30:00Z",
  "data": {
    "title": "Smartwatch Pro X",
    "price": 299.9,
    "seller": "Official Store",
    "availability": "in_stock"
  }
}

// why web data is hard

External web data should not consume your engineering team.

The real cost appears when each source becomes its own scraping, proxy, parser, monitoring, normalization and layout-fixing project.

Before GeckoAPI

  • Fragile scrapers and browser automation
  • Constant layout fixes and source-specific parsing
  • Inconsistent data with weak auditability
  • Engineering time spent before data creates value

With GeckoAPI

  • Ready APIs and maintained web data workflows
  • Structured JSON with source, URL and timestamp
  • REST, MCP and workflow delivery options
  • Teams focused on pricing, product, BI and automation

// how it works

From public URL to integration-ready endpoint.

01

Choose a source

Start from a website, market, API or business objective.

02

Define fields

Select price, seller, rating, address, availability or other public fields.

03

Receive JSON

Consume structured responses through REST, workflows, webhooks or MCP.

04

Automate decisions

Feed dashboards, alerts, AI agents, CRM and internal products.

// business outcomes

Structured web data for recurring business decisions.

Pricing intelligence

Track price, sellers, inventory, shipping and availability across marketplaces and e-commerce channels.

Competitive intelligence

Monitor public market signals, assortment, reputation, rankings and digital presence in a consistent schema.

Lead generation

Turn directories, search pages, places and public company data into B2B accounts and prospecting signals.

AI agents and MCP

Give agents access to fresh web data with source, URL and timestamp instead of unverified answers.

BI and analytics

Feed Power BI, data warehouses, spreadsheets and dashboards with recurring external data.

Operational automation

Trigger workflows when prices drop, sellers change, leads appear, reviews worsen or inventory goes unavailable.

// AI and MCP

Connect AI agents to real web data.

GeckoAPI turns public websites into structured tools for agents, copilots, automations and MCP servers. Responses include the original source and capture time for traceable decisions.

agent-tool/geckoapi

tool_call: geckoapi.market_radar({"sku": "789123", "source": "marketplaces"})

3 alerts found: Mercado Livre -9.4%, Shopee -6.1%, Amazon lower shipping.

// ROI

ROI appears when data stops being manual work.

Hours

saved on collection, cleanup and recurring data updates

Days

to validate markets, competitors and opportunity sources

Margin

protected with price, inventory, shipping and seller alerts

// FAQ

Frequently asked questions about web data APIs.

What does GeckoAPI do?

GeckoAPI is a structured web data API platform. It turns complex public websites into normalized JSON for products, AI agents, BI dashboards and automation.

Is GeckoAPI a replacement for internal scrapers?

It can replace or complement internal collectors when a ready API exists for the source. Teams reduce scraper maintenance and consume a predictable schema instead.

What data can I capture?

Prices, sellers, availability, reviews, menus, places, company data, jobs, real estate listings, vehicles, events, travel rates and other public signals supported by each source.

Can I use GeckoAPI with AI agents and MCP?

Yes. GeckoAPI can expose public web data as tools for AI agents, internal copilots, MCP workflows and automations.

Do responses include source and timestamp?

Yes. Responses can include source, original URL, capture time and normalized fields so the data is traceable and ready for production systems.

// start with a URL

Test one URL and see which data can become business value.

Validate the sample JSON before scaling to API, BI, automation, MCP or an assisted workflow for your team.