The Web Is the Largest
Database Nobody Can Query
We are building the infrastructure that changes that — AI agents that find, extract, and maintain web data at scale, without the engineering team you would otherwise have to hire.
our mission
Make Any Public Web Source Behave Like an API
Web data has always been available in theory and unreachable in practice. The pages exist, the numbers are right there on the screen — but turning them into a clean, current, trustworthy table takes a team of engineers, a proxy budget, and a tolerance for pipelines that break every time a site ships a redesign.
Most companies never build that team. They settle for a stale report, a sample of the market, or a gut call. The information asymmetry that follows is expensive, and it compounds.
We think extracting a dataset from the open web should take minutes and a sentence — not a quarter and a headcount.
The platform starts with existing datasets. Supported scrapers can refresh them, and the discovery pipeline can evaluate new sources. You can inspect execution results and collected rows before using them in your workflow.
platform capabilities
Built for Data Workflows
Browse datasets, export rows, and track extraction from one platform.
how we collect
Start With Your Data Requirements
Tell us which sources you need and how you intend to use the data. Review coverage and discuss your data handling requirements before integrating.
Review the source
Confirm which websites and fields you need before collecting data.
Discuss data handling
Tell us your security, retention, and privacy requirements so we can assess the fit.
Inspect a sample
Check the available fields and coverage before using a dataset in your workflow.
Assess intended use
Review source terms and applicable rights for your planned use of the data.
API keys
Scoped access
Dashboard
Authenticated access
Exports
JSON and CSV
how we work
Agents Do the Work Engineers Used to Do
Query existing data
Explore the datasets already collected before requesting a new extraction.
Refresh supported sources
Run a supported scraper or use scheduled collection where available.
Discover a new source
The discovery pipeline looks for usable endpoints and validates an extraction recipe before promotion to a scraper.
who we are
Built on Practical Engineering
We build tools for web extraction and AI workflows, with a focus on making collected data accessible through a dashboard, API, and MCP server.
AI Workflows
PandorLabs builds managed web extraction, dataset access, and AI tools for working with collected web data.
Managed Extraction
Supported scrapers collect data into datasets that can be queried and exported through the platform.
Source Discovery
Our discovery pipeline examines a website for usable data endpoints and validates a recipe before it becomes a scraper.
Tell Us What You Need to Know. We'll Go Get It.
Send us your sources and your schema. We will come back with a sample dataset from your real target sites — before you commit to anything.
