MindCloud connects PostgreSQL and Quick Scraper so a workflow can turn work in one system into governed updates in the other.

It can use Query and Select from PostgreSQL, combine them with Get Account Info and Parse URL from Quick Scraper, and run the handoff inside Gravity.

Partly. MindCloud can read from PostgreSQL and Quick Scraper, with write-backs focused on PostgreSQL where the connector exposes changes.

For Quick Scraper, the workflow should treat the connector as a source of grounded data unless a writable action is available.

PostgreSQL exposes actions such as Query and Select. MindCloud uses those operations to pick up the records, events, or API responses that belong in Quick Scraper, then maps only the fields your workflow needs.

Quick Scraper exposes actions such as Get Account Info and Parse URL. Those actions can create the notification, record update, lookup, or handoff step that should happen after PostgreSQL data enters the workflow.

The mapping is explicit. MindCloud takes the fields your process needs from PostgreSQL, transforms them when formats differ, and sends the approved values into Quick Scraper.

Validation, defaults, and branching live in the workflow instead of being hidden in one-off scripts.

It can. A workflow can branch when required data is missing, route an approval before writing to the next app, or send a review step through Quick Scraper when its connector supports it.

Failed handoffs stay visible in Gravity for correction and replay.

MindCloud uses Gravity, our integration platform. Gravity provides the connector layer, authentication handling, field mapping, workflow steps, retries, and operational visibility needed to run a PostgreSQL and Quick Scraper integration without maintaining brittle custom glue code.

No. MindCloud can fully manage this for you using Gravity, our integration platform. Our team scopes, builds, tests, launches, and maintains your PostgreSQL and Quick Scraper integration end to end.

You bring the requirements and system access, and we handle the mapping, edge cases, and upkeep as those systems change.

Tell us which systems need to talk to PostgreSQL and Quick Scraper, and what should happen between them.

Our team will map it out, build it, and run it for you. Talk to us to get started.