★★★★★
4.8 / 5
Your complete real estate data collection partner
Transform fragmented real estate data and market intelligence with automated extraction and unified analytics.
A schema matched to your product.
We collect from map listings, professional profiles, company websites, and public registries, then standardize the fields, categories, and relationships your product requires.
Company and firmographic
- Legal name and DBA
- Business segment
- Employee count
- Year founded
- Website and domain status
- Headquarters and branch locations
Location and presence
- Full address and coordinates
- Phone and email
- Hours and service area
- Ratings and review counts
- Social and website links
- Multi-location relationships
People and contacts
- Name and title
- Role and seniority
- Work email and phone
- Profile URL
- Job changes
- Company association
Business signals
- Revenue signals
- Technology stack
- Hiring activity
- Ownership and funding
- News mentions
- Corporate family relationships
Quality and provenance
- Source URL
- Confidence score
- Last-verified date
- Dedupe cluster ID
- Change history
- Segment tags
Need more fields?
We'll provide custom-built datasets.
Real estate data is its own language, we speak it well.
Pipelines built for an industry made of small local businesses: no central registry, messy listings, and companies that rename, move, and close every month.
One team runs the full data operation.
End-to-end delivery. Source discovery, collection, classification, company-contact matching, QA, and delivery are handled by one dedicated team.
Cross-source coverage. Map listings, professional profiles, company websites, and registries are combined to fill coverage gaps and resolve conflicting records.
Linked company and contact records. Companies and contacts arrive matched and deduplicated, so your product does not have to reconcile records from separate vendors.
QA before delivery. Confidence scoring, automated validation, deduplication, and human review are applied before records reach your systems.
Data kept private to your project. The dataset built for your product is not pooled across clients or resold to other companies.
Expansion without rebuilding. Add new locations, business segments, fields, or sources without creating a separate data operation for each expansion.
Build with real estate data.
The data supports products and workflows that depend on accurate coverage of real estate businesses and professionals.
Prospecting and lead-generation products
Company and contact data for products serving contractors, agents, brokers, loan officers, suppliers, and other real estate professionals. Records arrive classified, deduplicated, and ready to load.
CRM and data enrichment
Match, append, and refresh company and contact data in customer records, with added coverage for local and regional businesses.
Market intelligence and bid platforms
Company universes for TAM analysis, market maps, dashboards, and construction bid platforms. Track which businesses operate in each market, and when that coverage changes.
Wealth and financial services coverage
Coverage across family offices, wealth managers, mortgage companies, and related firms. In one program we delivered 50K+ family offices, 38K+ wealth management firms, and 19K+ mortgage companies.
Latest and hottest in real estate data.
Researching your way through data extraction? Start here.
Forage AI builds company and contact datasets across contractors, builders, trades, suppliers, mortgage companies, title agents, HOAs, property managers, brokerages, wealth firms, family offices, and real estate law firms.
Coverage can be defined by geography, business type, company attributes, professional role, seniority, and exclusion rules. Parcel, deed, AVM, MLS, and other property-level data require a separate pipeline.
Yes. Fields, category definitions, company-contact relationships, identifiers, confidence levels, validation rules, and output structure can be mapped to an existing data model.
The dataset is built around the product’s requirements rather than delivered through a fixed field catalog.
Forage AI supports datasets built for customer-facing data products, internal platforms, prospecting tools, market-intelligence products, and enrichment workflows.
The intended use, delivery structure, and applicable usage terms are agreed during scoping so the dataset fits the product and commercial model.
The pipeline is tested against the target segments and markets before rollout. A sample dataset can be reviewed against agreed criteria such as coverage, field completion, company-contact match quality, duplicate rate, classification accuracy, and confidence thresholds.
Full deliveries pass automated validation, cross-source deduplication, and human review for exceptions. Project-specific quality commitments can also be defined in the SLA.
The client team defines the target segments, required fields, taxonomy, quality threshold, refresh cadence, and delivery requirements.
Forage AI handles source discovery, crawling, extraction, classification, company-contact matching, deduplication, QA, delivery, and ongoing pipeline maintenance.
Refresh schedules are set by segment and source. Recrawls and change monitoring identify new businesses, closures, moves, rebrands, contact changes, and other updates between deliveries.
Forage AI also maintains the pipeline when source pages, layouts, or data structures change.
Turn fragmented real estate sources into one reliable data feed.
Tell us about your business and project requirements.
- Dedicated team from scoping through ongoing delivery
- One managed pipeline across companies, contacts, and locations
- Custom schema, QA rules, refresh cadence, and destination