Wire turns any website into managed APIs. Pre-built API actions for hundreds of popular websites: scrape, browse, extract structured data, and run automation tasks. Each action handles browser rendering, authentication, and structured data extraction. Jobs are processed asynchronously: submit a task and poll for results. Pick an API from our catalog, or request one and we'll build it for you. Replace fragile workarounds with clean API calls.
Key Features:
Pre-built actions across hundreds of popular websites. Catalog covers travel, commerce, real estate, analytics, and many more categories, with new sites added regularly.
Up to 1000x cheaper than scraping. Calls the underlying API directly. Kilobytes instead of megabytes, no proxy spend, no browser overhead, no LLM parsing costs.
Skip the reverse engineering. No network inspection, auth tracing, or schema mapping. Wire handles the complexity for you.
Discover and execute in one system. Search available services, inspect schemas, and run actions instantly through a single REST API with Python and Node.js SDKs.
Identity-based authentication. An identity is a named account on a website. Each identity holds one or more credentials, the encrypted auth data needed to run tasks as that account.
Automate systems that were never built for it. Portals, dashboards, legacy tools, and marketplaces. Wire turns them into callable APIs.
How It Works:
Discover an action through the catalog or search to find an action_id and parameter schema.
Submit a task to /v1/holocron/task with the action_id and your params.
Poll for results using the returned job_id at /v1/holocron/jobs/{id}.
Use Cases:
Web data extraction at scale. Pull structured data from sites without building or maintaining custom scrapers.
Authenticated workflow automation. Run actions on platforms under stored user identities for order management, account operations, and listing changes.
Legacy system integration. Turn portals, dashboards, and SaaS tools that lack public APIs into callable endpoints.
Data ingestion for LLM and RAG pipelines. Feed real-time structured data into vector databases, retrieval layers, and context windows.
