Simultaneous primary collection

Cross-map collection: one job, multiple maps in one run

Set the query or area once. CrawlRover builds a provider-specific plan, shows progress by source, and links matching listings into connected records.

Already have a dataset?

When cross-map collection earns its time

Use it when comparable coverage matters more than the speed of one source

One territory

Check the same district or polygon across several sources without recreating the setup.

One category

Run one query while each map keeps its available discovery methods and pace.

Comparable outcomes

See which listings linked, which source returned no match, and which candidates need confirmation.

Cross-map setup with several sources, one area and one query — One run: a shared job with an independent execution plan for every map available in the package.

Shared intent, provider-specific execution

A common job does not make the maps identical

Layer	Shared by the run	Provider-specific
Input	query, area, selected sources	available methods and page context
Plan	one parent run and work upper bounds	phase order, zoom and pace
Progress	overall state, Pause and Stop	counters and terminal state per source
Output	one table and export	source fields, links and skip reason

Cross-map progress shown separately for each source — Maps move at their own pace; completed and partial results remain visible.

After primary collection

Primary scans reach a terminal state before the finite set of found places is completed

Primary cross-map scan

discovers new listings from an area or query
runs several maps at the same time
lets each provider finish independently

→

“Complete every found place across the selected maps”

uses only the already-found finite set
links records and checks missing sources
then plans proven field gaps

The UI label does not promise completeness of an external map. It applies to places already found in this run. The phases stay visible: scanning → linking → collecting → gap planning → gap fill.