What is managed Data-as-a-Service (DaaS)?

Managed Data-as-a-Service means PyroSync runs the data infrastructure for you — the browser cloud, worker fleet, proxy layer, schedules, and validation — and delivers governed external data as a service, so your team gets trusted records without operating databases, queues, or scraping clusters.

How is PyroSync different from a DIY scraper?

A DIY scraper leaves you maintaining browsers, proxies, retries, schedules, and validation yourself. PyroSync operates that managed infrastructure for you and adds mapping, sanitation, data contracts and run evidence so your team can inspect data before using it downstream.

How is PyroSync different from a one-time extract or an app-to-app handoff?

Those tools are good at a moment: a page for an AI to read, a crawl you run yourself, an agent visit, or a handoff into another app. PyroSync takes the work that should last. The fields land in a record you own, the history stays, and a repeat visit does not start from zero.

What are data contracts?

Data contracts define freshness, required fields, types, drift thresholds, and export rules for a source. The quality engine evaluates configured expectations and reports failures. Enforcement depends on the source or delivery path invoking those checks; inspect that integration before relying on a downstream gate.

Yes. Your workspace data belongs to you. PyroSync operates the infrastructure, workers, and reliability layer, while you control exports, retention, deletion, and downstream usage.

Does saving a sync send my data?

No. The guided sync flow saves a reviewed draft for HubSpot or Google Sheets. It does not write destination records and it does not turn on a schedule. Run the dry run, check the sample, then save. Other destination drivers exist in the library and are not all offered on that screen.

What happens when a workflow step fails?

The default is to stop at that step. The run does not continue, retry, or undo earlier steps on its own. You can set a step to retry, ignore the error and continue, keep or compensate a side effect, or hand the error to another step. Pausing a workflow drops new triggers unless you choose to queue them.

Collect. Map. Clean. Verify. Keep your data.

Turn source data into records your team can trust

Collect from pages and configured sources, map fields to your model, then inspect cleaning and quality results. Keep the records and the evidence behind them.

Read the workflow guide Build a workflow Review a sync draft

example.com

Local services directory

Sample

A public page with provider names, phone numbers, prices, and service areas.

Headings

Links

Images

Auto regex detector

Suggested extraction patterns from this page

Phone numbers

82%

(?:\+?1[\s.-]?)?(?:$?\d{3}$?[\s.-]?)\d{3}[\s.-]?\d{4}

sample listing A, sample listing B

Prices

82%

[$€£]\s?\d[\d,]*(?:\.\d{2})?

$49.00, $120.00

Primary headlineDescriptionStructured data

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From URL to a pipeline you can trust

PyroSync keeps the external data your team collects. Pages, files, and apps become records you own, with the history of how each value got there.

Point at a page

Paste a public URL. PyroSync finds fields, writes selectors, and saves a target you can rerun.

Map to your model

Bring different source fields into a canonical model. Review proposed mappings, confidence and transforms before publishing.

Clean values with evidence

Preview sanitation rules on sample records. Compare before and after, preserve originals where configured, and inspect flagged values.

Check data quality

Define dataset expectations, inspect quality scores and review quarantine. Confirm enforcement on each configured delivery path.

Keep the data and its history

Browse lake tables and snapshots, trace mapping decisions and inspect the records behind an entity. Your workspace data stays yours.

Send it where work happens

Publish a workflow, then pause or archive it from the workflow list. History shows the run and its cost. A failed step stops the run unless you choose otherwise.

Review a sync before it leaves

The guided setup connects HubSpot or Google Sheets, previews a sample, and saves a draft. Saving does not start a schedule or write to the destination.

Prove a webhook came from PyroSync

Deliveries are signed. Verify the raw body and the timestamp before you trust the event. Pin a payload version when the old shape must keep working.

Where the work goes

Other tools are good at a moment. PyroSync is where the data lives after that moment.

How you work today	What that tool keeps	What PyroSync takes
A script that worked once	The one-off scrape	Fresh production data, without hiring a crawler team
A clean page for an AI to read	The one-time extract	The record that remains after that page is gone
A crawl library your engineers run	The library	A hosted run, with limits and a record of what happened
An agent billed at full price every visit	The expensive first pass	A smart first visit, then a cheap repeat
A click-trained extractor someone babysits	The training session	A living table, and a short fix when the page moves
A handoff from one app to the next	The trigger	The copy that stays, and where each value came from

DaaS control plane

PyroSync runs the infrastructure

Reliability layer

Live jobs, worker health, drift signals

Data ownership

Export, retain, and delete workspace data

What you get

Review before publishingManaged browsersCustomer-owned dataSchedules and retriesExports and webhooksSigned webhooksSync drafts you review

Frequently asked questions

What is managed Data-as-a-Service (DaaS)?: Managed Data-as-a-Service means PyroSync runs the data infrastructure for you — the browser cloud, worker fleet, proxy layer, schedules, and validation — and delivers governed external data as a service, so your team gets trusted records without operating databases, queues, or scraping clusters.
How is PyroSync different from a DIY scraper?: A DIY scraper leaves you maintaining browsers, proxies, retries, schedules, and validation yourself. PyroSync operates that managed infrastructure for you and adds mapping, sanitation, data contracts and run evidence so your team can inspect data before using it downstream.
How is PyroSync different from a one-time extract or an app-to-app handoff?: Those tools are good at a moment: a page for an AI to read, a crawl you run yourself, an agent visit, or a handoff into another app. PyroSync takes the work that should last. The fields land in a record you own, the history stays, and a repeat visit does not start from zero.
What are data contracts?: Data contracts define freshness, required fields, types, drift thresholds, and export rules for a source. The quality engine evaluates configured expectations and reports failures. Enforcement depends on the source or delivery path invoking those checks; inspect that integration before relying on a downstream gate.
Do I own my data?: Yes. Your workspace data belongs to you. PyroSync operates the infrastructure, workers, and reliability layer, while you control exports, retention, deletion, and downstream usage.
Does saving a sync send my data?: No. The guided sync flow saves a reviewed draft for HubSpot or Google Sheets. It does not write destination records and it does not turn on a schedule. Run the dry run, check the sample, then save. Other destination drivers exist in the library and are not all offered on that screen.
What happens when a workflow step fails?: The default is to stop at that step. The run does not continue, retry, or undo earlier steps on its own. You can set a step to retry, ignore the error and continue, keep or compensate a side effect, or hand the error to another step. Pausing a workflow drops new triggers unless you choose to queue them.

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