One API key · Every vertical · JSON
Stop stitching together a different vendor for every data type. One unified scraping API covers ecommerce, food & restaurant, grocery, travel, real estate and social media data — plus AI-powered parsing for anything that doesn't fit a template — all behind a single API key and one consistent response schema.
The all-in-one scraping API is a single integration that routes requests to the right extraction pipeline for whatever kind of data you're pulling — a product listing, a restaurant menu, a flight fare, a property listing, a social profile — and returns it in a consistent JSON envelope. Instead of managing separate contracts, API keys and response formats for each data vendor, you call one API, specify the vertical and the source, and get structured data back every time.
Call the endpoint for the data type you need — ecommerce, food, grocery, travel, real estate or social.
Proxy rotation and headless rendering run behind the scenes for every vertical, on the same infrastructure.
Vertical-specific parsers, backed by the AI parser for edge cases, extract the fields automatically.
Every vertical returns the same envelope shape, so downstream code stays consistent.
You get a structured response synchronously, via webhook, or in a bulk export — across every vertical.
Everything a multi-vertical data pipeline needs, exposed through a single, consistent API surface.
A single key authenticates requests across ecommerce, food, travel, real estate and more.
Call any vertical synchronously, or schedule recurring monitoring jobs across all of them.
JavaScript-heavy pages across every vertical are fully rendered before extraction.
Unsupported sites or formats automatically route to AI-powered extraction instead of failing.
Rotating residential and datacenter proxies with automatic CAPTCHA and block handling.
One webhook configuration can receive change events from any vertical you monitor.
Client libraries for common languages, plus no-code and low-code integration paths.
Automated checks catch broken selectors or malformed responses before they reach you.
Seven data categories, one integration. Each vertical has its own dedicated endpoints and schema, callable with the same API key.
Product, price, review, seller and inventory data from marketplaces and storefronts.
Restaurant, menu, review and delivery data from food ordering platforms.
Grocery product, pricing, stock and delivery-slot data from grocery apps.
Flight, hotel, fare and availability data from airlines, OTAs and metasearch sites.
Property, valuation, agent and listing-status data from listing portals and MLS feeds.
Public profile, post, hashtag and engagement data from major social platforms.
Natural-language and schema-based extraction for anything outside a standard template.
Need a category that isn't listed? Custom parser builds extend the same unified API.
A sample of the ready-built parsers available the moment you get your API key — spanning every vertical the API supports.
One predictable URL pattern — /v1/{vertical}/{resource} — covers every data
category behind the same authentication and response structure.
Swap the vertical in the URL and the request shape stays the same — here's the identical pattern applied to a real estate listing.
Every account gets a single bearer-token API key that works across all verticals, a shared sandbox environment, and clear, predictable limits.
The same API key authenticates requests to ecommerce, food, travel, real estate and every other endpoint.
Request limits scale with your plan and apply across verticals, with clear headers on remaining quota.
Test integrations across every vertical against sample responses before spending live request credits.
Every account includes a dashboard showing request volume, latency, success rate and job status in real time — broken down by vertical, so you can see exactly where usage is coming from.
Field names go deeper per vertical, but every response shares the same outer envelope — so your parsing logic stays the same no matter which endpoint you call.
Integrate however fits your stack — call the REST API directly, use a client library, or push results from every vertical straight into storage.
Lightweight libraries for common languages wrap authentication and routing across verticals.
Register one callback URL and receive events from every vertical you've subscribed to.
Pipe results from any vertical directly into spreadsheets, BI tools or automation platforms.
JSON, CSV or XLSX exports for bulk jobs, delivered to S3, GCS or your own bucket.
Managed connectors write results from all verticals straight into your warehouse on a schedule.
Versioned reference docs covering every vertical's endpoints, fields and changelogs.
The same infrastructure layer powers every vertical, so reliability and extraction quality don't vary depending on which data type you're calling.
Residential and datacenter IPs rotate automatically across every vertical to avoid blocks.
Sites outside a vertical's standard templates automatically fall back to AI-powered extraction.
Automated CAPTCHA solving is built into the request pipeline for every vertical, with no manual steps.
Replace five vendor contracts with one API powering every product team's data needs.
Pull comparable data across ecommerce, travel and real estate for broad market studies.
Power apps that span multiple verticals — food, grocery, travel — on one data layer.
Build and resell vertical-specific data products on top of one underlying API.
Test a new product idea in any vertical without onboarding a new data vendor.
Cut vendor sprawl by replacing multiple scraping contracts with a single relationship.
Give an AI agent one tool that can fetch real-world data across every vertical it needs.
Pull signals across industries for analysts who need more than one data category.
A developer-first API for teams who need data from more than one industry and don't want to manage a different vendor, key and schema for each one.
Ready when you are
Tell us the platforms, cities and fields you need — Web Fusion Data will scope a crawl and send back a sample dataset within one business day.