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- LoopNet + Crexi Scraper · CRE Listings · CoStar AlternativeLaunched 05/2026
Commercial Real Estate Brokerage Intel is an Apify actor for CRE brokers and acquisition teams who monitor public LoopNet and Crexi listings. It turns selected searches into one structured dataset with cap rate context, days-on-market fields, broker/company fields, public contacts when exposed, duplicate signals, and CSV/API export.
Recent activity
- Commented onI charge $5 per 1,000 results. My niche Apify Actor tripled its revenue in month two
- PostedI charge $5 per 1,000 results. My niche Apify Actor tripled its revenue in month two
- PostedA Broker Wanted the Delta, Not the Dataset
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- PostedMy $5/1k-listing data product didn’t need a dashboard yet. It needed proof pages.
- Commented onI built a tool directory that doesn't pretend every founder has the same needs
- PostedI got the data. Then I realized none of it was usable.
- Commented onPriorities for launching a SaaS solo, with no budget
- Commented onI built a $5/1k-listing CRE data API because CoStar is overkill for first-pass scans
- Commented onI built a $5/1k-listing CRE data API because CoStar is overkill for first-pass scans
- PostedThe code was easier than explaining what my product actually does
- Commented on258 users in 2 days(Now 285) with zero ads — here's exactly how we did it (and the real problem we're solving)
- Commented on258 users in 2 days(Now 285) with zero ads — here's exactly how we did it (and the real problem we're solving)
- Commented onI built a CSV cleaning tool after wasting too much time on dirty data.