BatchLeads shows up on almost every real estate data buyer’s shortlist, usually alongside PropStream — and for good reason: it bundles list building, skip tracing, and an outbound dialer into one investor workflow. But “alternative to BatchLeads” means something different depending on which piece of that bundle is actually the bottleneck. This guide sorts the field by job instead of by brand recognition.
Disclosure: Scout Data is our product; treat that entry as a maker’s pitch and the rest as our honest read.
Why data buyers look beyond BatchLeads
- Investor-shaped signals. Pre-foreclosure, absentee owner, equity position, distress. Excellent for flippers and wholesalers; off-axis for teams selling solar, roofing, or other home services to owner-occupants who aren’t distressed at all.
- List-platform pricing at dialer volume. Per-record skip tracing on top of a list-platform subscription adds up quickly once a call center is burning through tens of thousands of records a month rather than a few hundred.
- One owner, not two vendors. BatchLeads and BatchDialer were acquired by PropStream’s parent company in 2025 — worth knowing before you treat “BatchLeads plus PropStream” as vendor diversification. Details in BatchLeads vs BatchData.
The alternatives, by job
| Platform | Pick it when |
|---|---|
| BatchData | You want investor-grade bulk skip tracing or an API, from the Batch company that stayed independent of the PropStream deal |
| DealMachine | Your team is driving for dollars in the field and wants one-tap owner traces on a mobile app rather than a desktop list export |
| PropStream | You want the wider investor research suite BatchLeads now shares an owner with — comps, liens, equity — compared here |
| Scout Data | You sell to homeowners — solar, roofing, home services — and need signal-built lists with dialer-ready, owner-matched contact data at call-center volume |
Where Scout Data fits
BatchLeads was built for a buyer looking for distress and equity. Atlas starts from a different question: who just became a plausible buyer of a home-services project. It builds homeowner audiences from live property signals — storms mapped within hours, a million-plus new permits a week, roof age, move-ins — and ships them with phones matched by name to the owner of record, DNC-scrubbed before delivery, dead numbers replaced. The same graph is queryable per-property through the API, for teams that want to pull records into their own stack rather than work from exported lists. Bulk homeowner records are typically priced well below per-search investigative tools, as publicly advertised at the time of writing — talk to sales for a current quote on your list profile.
Pricing mentions on this page are examples or publicly advertised figures at the time of writing — confirm current pricing with each vendor, and with our sales team for Scout Data.
How to choose in one afternoon
Start with the job, not the brand: bulk data and API access points toward BatchData, field-driven traces point toward DealMachine, and homeowner outbound at dialer volume points toward Scout Data. Then run the same 500 records through your top candidate and score right-party connects, not raw match rate — the method is in our skip tracing software guide. Whichever vendor was actually built for your job tends to win that test fast.
Frequently asked questions
Is BatchLeads the same company as BatchData?
Not since 2025. BatchLeads and BatchDialer were acquired by PropStream’s parent company, while BatchData continues independently as the bulk data and API business. Full breakdown: BatchLeads vs BatchData: what changed.
What is the best BatchLeads alternative for dialer-volume outbound?
For staying in the investor-data lane, BatchData is the closest bulk/API analog. For homeowner outbound at call-center volume — solar, roofing, home services — Scout Data’s Atlas is built for the job: signal-built lists with owner-matched, DNC-scrubbed phones and dead-number replacement, queryable through the API.
Should a solar or roofing call center use BatchLeads at all?
BatchLeads is genuinely good at what it was built for: investor list-building around distress, equity, and comps, with skip tracing baked into the same platform. Home-services floors usually find the match rates disappointing because the list was never built around homeowner-predictive signals — storms, permits, roof age, move-ins — and the phones aren’t matched to the person selling the service to.