Connect systems that weren’t built to connect
Flat-rate pricing. Most projects scoped within 48 hours.
The official path never covers everything
You picked your new system. You found a migration tool or an iPaaS connector. It handles the standard fields. Then you discover the rest: custom objects that don’t map, activity history the export skips, attachments the API won’t serve, fields the vendor never exposed. That gap between what transfers officially and what you actually need transferred is where most projects stall. We close it.
API where it works, scraping where it doesn’t
We use every channel the source system offers. When the API stops short, we scrape. When it throttles, we pace. When it doesn’t exist, we extract from the UI.
One-time move or ongoing sync
Same extraction logic, different delivery schedule. Migrate once and shut down the source, or keep both systems in sync indefinitely.
Every record accounted for
Automated validation on every object type. Nothing migrates or syncs without a check. Discrepancies surface before they reach production.
Any system, any direction
SaaS platforms, on-premise software, legacy databases, web portals, internal tools. If the data is visible somewhere, we can extract it.
What most teams try first
Native export and reimport
The source system has an export button. Download, transform in a spreadsheet, upload to the target.
Standard fields transfer. Custom objects, relationships, activity history, and anything the vendor chose not to include in the export get left behind.
iPaaS connector (Zapier, Make, Workato)
Pre-built connectors between popular platforms. Set up a sync in minutes.
Connectors map field to field. When a field doesn’t exist on one side, or the API doesn’t expose it, the connector may silently skip it. Complex objects and historical data often don’t survive.
Vendor migration service
The new vendor offers onboarding migration for common source platforms.
Tends to cover the happy path. Custom configurations, data the source system restricts, and edge-case record types may not come through. You often discover the gaps after the switch.
Internal team writes scripts
Your engineers know the data model and can build extraction scripts.
Works until the source system throttles API calls, blocks bulk reads, or stores data in undocumented formats. Data transfer is a one-time project that demands scraping skills your team doesn’t use daily.
Why the gap exists
Software vendors control what leaves their system. APIs expose what the vendor chose to expose. Export functions include what the vendor chose to include. Connectors map what both sides agreed to surface. Everything else, your custom fields, your historical data, your relationships between records, sits in a gap that no off-the-shelf tool is built to cross. Crossing it requires engineers who extract data from uncooperative systems for a living.
Built for these situations
Tell us what needs to connect
Name the systems and the data that needs to move. We’ll scope a pipeline within 48 hours.
Get a QuoteFrom disconnected systems to data that flows
Source audit
We map your source system’s data model, API coverage, and access restrictions. You get a written assessment: what transfers through official channels, what doesn’t, and how we’ll extract the rest.
Extraction build
We build the extraction pipeline. API calls where the API cooperates, scraping where it doesn’t. Every field captured, including the ones the export button leaves behind.
Transformation and mapping
Scripts to clean, normalize, and restructure your data for the target schema. Field types converted, relationships preserved, duplicates flagged.
Validation run
Full dry run with automated checks on every object type. You review a validation report before anything touches production.
Delivery or cutover
For one-time transfers: production migration after validation sign-off. For ongoing syncs: scheduled pipeline with monitoring and alerting. Both validated before going live.
Post-launch support
30 days of support. For ongoing syncs, we monitor pipeline health and adapt when source systems change.
Why teams choose Stratalis for data transfer
Scraping is our core skill
We’ve spent 15 years extracting data from systems that don’t want to give it up. The gap between what the API offers and what you need is exactly where we work.
Flat-rate pricing
You know the full cost before we start. No hourly billing, no surprise overruns when the source system turns out to be harder than expected.
Engineers, not account managers
You talk directly to the people building the extraction and loading scripts. No layers between your question and the answer.
We adapt when systems change
Source systems update their UI, throttle their API, or change their data model. We detect it and adjust. For ongoing syncs, that’s included.
FAQ
Either. We build the same extraction and transformation pipeline in both cases. For a one-time transfer, we run it, validate, and hand off. For ongoing sync, we schedule it and monitor it.
We extract data through whatever channel works: screen scraping, browser automation, file parsing, database access. No API is not a blocker.
Our migration pages focus on switching from one platform to another. This page covers the broader problem: getting data between systems that don’t connect well, whether that’s a one-time move, a parallel run, or a permanent integration.
Yes. We design extraction schedules around rate limits, combine API calls with scraping for fields the API doesn’t expose, and batch intelligently to stay within quotas.