Built for websites that aren’t simple HTTP requests.
The data that matters most often sits behind JavaScript applications, multi-step searches, sessions, and systems older than the people maintaining them. We engineer an agent for each source — and keep it reliable as the source changes.
What makes a source complex
Seven ways a source resists a simple scraper.
Most real sources combine several of these. Each one is a reason generic tools break — and a part of the agent we design on purpose.
- 01
Dynamic applications
- JavaScript
- SPA
- AJAX
- API-backed
Why it’s hardThe page you see is assembled in the browser. The HTML a simple request returns is an empty shell.
How we engineer itAgents target the data layer the application itself consumes, not a fragile snapshot of the rendered page.
- 02
Multi-step workflows
- Search
- Results
- Detail
- Related records
Why it’s hardThe record you need is four screens deep, behind a search form, a results list, and a detail view.
How we engineer itEach step of the journey is modelled explicitly, so the agent knows where it is and what it expects to find next.
- 03
Session-dependent sources
- Cookies
- Tokens
- State
- Authentication flows
Why it’s hardEvery request depends on the one before it: a session cookie, a form token, a view state that expires.
How we engineer itThe session lifecycle is part of the agent's design. Credentials stay in your workspace, never in the agent definition.
- 04
Protected sources
- CAPTCHA
- Rate limits
- WAF
- Bot protection
Why it’s hardSources guard their capacity, and a collector that ignores that fails — or gets turned away.
How we engineer itWe assess every source before accepting the work, pace collection to what it can sustain, and tell you plainly what isn't feasible.
- 05
Unstable sources
- Changing HTML
- Intermittent errors
- Legacy systems
Why it’s hardLayouts change without notice, old systems time out, and a quiet failure looks just like a quiet day.
How we engineer itTransient errors are retried, persistent ones are surfaced, and runtime baselines flag drift so maintenance happens before the data goes wrong.
- 06
High-volume sources
- Pagination
- Millions of records
- Concurrency
Why it’s hardThousands of result pages, cursors that shift mid-run, and volumes where one missed page is invisible.
How we engineer itConcurrency is tuned per source, and completion is checked against the expected record count — not “reached the last page.”
- 07
Complex data relationships
- Parent
- Child
- Detail
- Supplemental records
Why it’s hardA case has parties, a party has filings, a filing has documents — spread across separate pages and requests.
How we engineer itAgents follow the relationships and deliver one structured record with its children attached, not a pile of disconnected rows.
What you receive
Many pages in. One structured record out.
The complexity stays on our side. However many screens, tabs, and lookups a source spreads a record across, you get it back whole — validated, with its related records nested where they belong.
Engineering reliability
Getting the data once is easy. Getting it every run is the job.
Assessed before accepted
Every source is reviewed before we commit: what's collectible, at what cadence, and what we'd decline.
Engineered per source
One agent for one source, built around how that source actually works — never a generic template.
Validated output
Fields are checked and completeness is measured, so an empty result is a finding, not a silent gap.
Paced to the source
Concurrency and pacing are set per source and tuned against how it behaves under load.
Monitored every run
Failures and unusually slow or fast runs are flagged the moment they happen, not when someone notices.
Maintained as it changes
When a source changes, our engineers update the agent and ship a new version. You don't file a ticket to keep it alive.
Reliability, not evasion.
Protected sources are part of the work, but defeating protection isn’t the product. We assess each source before we take it on, collect at a pace it can sustain, and tell you plainly when a source isn’t a fit — so the agents we do ship keep working.
Have a source others couldn’t automate?
Tell an engineer about it. We’ll assess it, tell you what’s feasible, and scope the agent with you.