The same company looks different across maps. On Yandex it has one rating and set of reviews, on 2GIS another, on Bing a third; here the opening hours are current, there the phone is outdated. To understand a competitor whole, you need all the available sources side by side instead of comparing them from memory.
What happens without CrawlRover
Reconciliation is manual: you open a listing on one map, switch to another, compare in your head. The picture comes out fragmented, discrepancies between maps get lost, and across dozens of objects it’s simply unrealistic.
How it works with CrawlRover
- Collection across available maps. The source set depends on the installation channel: store packages contain four maps, while the full website package contains five.
- Cross-map in one row. The data is merged into a single profile: rating and review count per map, listing data — side by side, in one record.
- Comparison across all objects. The whole competitor list is merged the same way — you see who has a stronger presence where and where the data diverges between maps.
All of it is the maps’ publicly visible business data, collected and reconciled.
What it gives you
A linked rather than fragmented profile of a competitor or your own location: you can see which source supplied a field, where no listing was found, and which candidate needs review. If you are starting a new dataset, use cross-map collection. If the rows already exist, use Find on other maps.
[Install free] · sources side by side · linked profile · competitor comparison
Ready to try it yourself?
Free plan — compatible store package, basic export, no card required