"Get the data you want and need to find, contact, and close more real estate deals nationwide."
Typical plan: $149 / month
- 1 reviews
- 5.0
- Monthly users
- 222K
- Pricing
- $99 – $232 / month
- Platform
- Web App · Mobile App
Overview
DealMachine is an AI-powered real estate lead generation platform designed for investors, agents, and teams to find and connect with off-market property owners. It offers features such as driving for dollars, AI deal scoring, custom list building with over 700 filters, unlimited contact info, integrated dialer, direct mail automation, skip tracing, and CR...
Get the data you want and need to find, contact, and close more real estate deals nationwide.
Tool Details
Pricing opens by default; expand other sections for key facts, compliance, specs, and provider info. The main column keeps the quick summary.
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Key Features
Interactive data visualization
Drag-and-drop interfaces make it easy to explore data without writing queries.
Programmatic access
Webhook and API support keep DealMachine aligned with bespoke internal processes. DealMachine is most useful when routin
Tooling for engineering teams
Developers get client libraries that smooth integration work.
Hands-on demos
Live demos and sandboxes simplify evaluation across stakeholders.
Reduce manual work
Trigger-based flows keep work moving without extra check-ins.
Insights & analytics
DealMachine consolidates data to expose actionable insights quickly. Dashboards in DealMachine are useful when they expo
Expert Insight
Dr. William Bobos
Dr. William Bobos has analyzed DealMachine for Data Analytics. Given Dr. William Bobos's expertise in AI tools, this tool is particularly recommended for entrepreneurs who prioritize AI tools capabilities.
Pricing & Plans
Pricing: $99 – $232 / month(Updated September 2025)
Starter: $99/month, Pro: $149/month, Pro Plus: $232/month (all USD, monthly billed). No free tier; 7-day free trial offered.
Usage Model: Pay-as-You-Go, Credits — ensuring you only pay for what you actually use.
With subscription pricing starting at $99 – $232 / month, DealMachine offers entrepreneurs a straightforward way to access data analytics features. The subscription model provides consistent monthly costs, making financial planning easier. For entrepreneurs who rely on data analytics tools regularly, the subscription approach ensures continuous access to updates and support.
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About DealMachine
“Get the data you want and need to find, contact, and close more real estate deals nationwide.”
DealMachine Snapshot
Key facts we track so you can judge fit before visiting the provider.
- Primary category
- Data Analytics
- Best fit
- Entrepreneurs, Business Executives, Marketing Professionals +1 more
- Platforms
- Web App, Mobile App
- Pricing signal
- Subscription - $99-$232 / month
- Provider context
- DealMachine - US
- Known integrations
- Plugin/Integration, API
- Developer access
- API documentation, Python, JavaScript/TypeScript
- Data handling
- US hosting, Privacy policy linked
Before you choose DealMachine
- Confirm DealMachine's current limits, renewal terms, and seat pricing on the official site.
- Review privacy, retention, and data-processing terms before using sensitive data.
- Test the integrations or API path against one real workflow before rollout.
- Make sure the supported platform matches where your team actually works.
Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.
How DealMachine Works
Understanding the core functionality and approach of DealMachine.
DealMachine automates the path from data ingestion to insight delivery. Teams spend less time wrangling spreadsheets and more time acting on findings. Integrations with Plugin/Integration and API keep DealMachine connected to your workflow.
Key Features
Explore what makes DealMachine stand out.
Interactive data visualization
Drag-and-drop interfaces make it easy to explore data without writing queries.
Programmatic access
Webhook and API support keep DealMachine aligned with bespoke internal processes. DealMachine is most useful when routine operations can be clearly defined and checked after execution.
Tooling for engineering teams
Developers get client libraries that smooth integration work.
Hands-on demos
Live demos and sandboxes simplify evaluation across stakeholders.
Reduce manual work
Trigger-based flows keep work moving without extra check-ins.
Insights & analytics
DealMachine consolidates data to expose actionable insights quickly. Dashboards in DealMachine are useful when they expose metrics your team already reviews.
Use Cases
Discover how different audiences leverage DealMachine.
Operational efficiency
Bots, rules, and triggers ensure nothing gets stuck in manual queues.
Insight generation
Analysts use DealMachine to assemble data, explore patterns, and publish findings faster.
FAQ about DealMachine
What is DealMachine and what does it do?
How much does DealMachine cost?
Is DealMachine secure and compliant with data privacy regulations?
What platforms does DealMachine support?
How can I try DealMachine before purchasing?
What file formats does DealMachine support?
Who develops and maintains DealMachine?
How do I get access to DealMachine?
How is usage measured and billed in DealMachine?
What deployment options does DealMachine offer?
Compare Similar Tools
See how DealMachine stacks up against similar alternatives in the market.
Keep DealMachine's listing accurate
Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.
How to Evaluate DealMachine
Use this page to evaluate DealMachine alongside similar data analytics tools in our alternatives overview. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.
- Step 1Run the demo with one real entrepreneurs task, not a sample prompt.
- Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
- Step 3Verify the integration path with your existing stack before you commit.
- Step 4Review privacy, retention, and compliance terms before using sensitive data.
For developer teams, inspect the Python SDK and JavaScript/TypeScript support. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more data analytics tools for entrepreneurs, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.
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