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I really want to rip out Scrapin.io entirely from the stack and build my own agent that I could just drop into a customer's environment. The founders would prefer something that wasn't based around a UI.
Scrapin.io provides real-time scraping and enrichment APIs, but customers must build their own monitoring logic, change detection, and downstream intelligence layers for agent-based systems. Crustdata’s APIs are designed to power AI agents, internal tools, and production-grade data products that require structured schemas, cross-entity relationships, and event-driven updates.
Real-time monitoring
Scrapin.io positions itself as real-time, but its data is primarily returned through direct extraction and enrichment APIs without native support for continuous monitoring or change-based triggers. Crustdata retrieves and enriches people and company data at the moment of request using live crawlers, real-time pipelines, and on-demand enrichment.
| Feature | Crustdata | Scrapin.io |
|---|---|---|
| Update frequency | Real-time (all profiles) | Real-time (on request) |
| Real-time monitoring webhooks | ✅ Yes | ❌ No |
| Custom event tracking | ✅ Yes | ❌ No |
| Feature | Crustdata | Scrapin.io |
|---|---|---|
| Firmographic data | ✅ Yes | ✅ Yes |
| Employee data | ✅ Yes | ✅ Yes |
| Technographic data | ✅ Yes | ✅ Yes |
| Job posting data | ✅ Yes | ✅ Yes |
| Post data | ✅ Yes | ❌ No |
| Website traffic data | ✅ Yes | ❌ No |
| Product review data | ✅ Yes | ❌ No |
| Employee review data | ✅ Yes | ❌ No |
| News | ✅ Yes | ❌ No |
Data coverage for your needs
Scrapin.io focuses primarily on extracting and structuring professional network and public web profile data for people and companies. Crustdata provides structured data on people, companies, posts, and events across multiple verified sources.
While both platforms provide structured data APIs, Crustdata is designed to support a broader range of entity relationships, including posts, engagement data, and activity signals.
Use filters to discover companies and people and build lists that automatically update whenever a new profile matches your criteria. With our real-time discovery APIs, you receive profiles and updates as soon as they appear, rather than managing discovery logic manually within your own systems.
All our company and people profiles are enriched with more than 350+ datapoints, including granular information such as job start and end dates, education history, job descriptions, skills, and company-level growth and activity signals.
| Feature | Crustdata | Scrapin.io |
|---|---|---|
| Social media post tracking via webhooks | ✅ Yes | ❌ No |
Use filters to discover companies and people and build lists that auto-update whenever a new profile matches your criteria. With our real-time discovery and monitoring capabilities, you can track meaningful changes as they happen rather than polling for updates.
Crustdata is built for AI agents & tools
Scrapin.io provides real-time scraping and enrichment APIs, but customers must build their own monitoring logic, change detection, and downstream intelligence layers for agent-based systems.
Crustdata’s APIs are designed to power AI agents, internal tools, and production-grade data products that require structured schemas, cross-entity relationships, and event-driven updates.
User support
Clay's table-based interface works for manual workflows, but breaks down when you need to build automated systems, respond to real-time events, or embed enrichment into your product.
✅ Yes
❌ No
Scrapin.io provides real-time extraction and enrichment capabilities, but does not offer a native intelligence layer for monitoring, change detection, or automated downstream actions.
Crustdata’s APIs are built for products that require live data to function over time. From real-time enrichment to continuous discovery and event tracking, Crustdata is the infrastructure layer designed for AI agents and platforms that need to react instantly to changes in the world.
Web Search API
Crustdata’s Web Search API converts live web search results into structured, machine-readable JSON. Instead of scraping result pages and parsing HTML, your systems receive normalized data including titles, URLs, snippets, ranking position, result type, and source.
This allows AI agents to reason over live web data, enrich profiles, power RAG pipelines, and monitor markets without maintaining scraping infrastructure.
Book a demo to see how Crustdata replaces scraping workflows with a real-time, structured data layer built for AI agents and modern data products.