Data Feed Products
Person Data Feed
Schema 800M+ people, refreshed on a rolling basisWhat’s included
A comprehensive professional profile for each person, including identity attributes, location, current and historical employment, titles and roles, education, skills, certifications, and organization relationships — all normalized into a consistent, query-ready schema.Common use cases
- Bulk enrichment of CRM, lead, or contact records
- Workforce and talent analytics
- Training or powering AI models that require structured person data
- Segmentation, matching, and identity resolution across systems
Organization Data Feed
Schema 65M+ companiesWhat’s included
Standardized firmographic and company-level data including organization identifiers, domains, industries, locations, employee size ranges, and other attributes needed to model companies at scale.Common use cases
- Account and company enrichment
- ICP expansion and TAM modeling
- Firmographic segmentation and reporting
- Creating a canonical company layer across internal systems
Job Post Data Feed
Schema 16M+ job posts a monthWhat’s included
Structured job listings with titles, associated companies, locations, posting dates, sources, and activity metadata — collected and normalized across major online sources.Common use cases
- Hiring intent and demand signals
- Labor-market and trend analysis
- Competitor hiring and team expansion tracking
- Enhancing person and company profiles with opportunity data
Delivery Options
We support two primary delivery models depending on how your data team prefers to consume data: compressed file drops into a bucket you own, which you load into your warehouse, or a Snowflake private listing you query in place.Snowflake Private Listing
We publish the data directly into your Snowflake account as a shared, continuously refreshed table. Your team can query, join, and transform the data just like any internal dataset. DocumentationCloud Storage (S3, S3-compatible, or GCS)
We can deliver daily, weekly, or monthly drops to your own bucket. Data is provided as compressed, partitioned files (NDJSON by default; CSV, TSV and Parquet are also supported, see Output Data File Details) for efficient ingestion into data lakes, warehouses, and pipelines. Documentation: S3 | GCSLearn more
- Output Data File Details
- Data feed schemas
- Migrate from Forager Data Feeds V1 -> V2
- Delivery methods
- Snowflake
- Amazon S3
- Google Cloud Storage
- Azure Blob (coming soon)
Why Choose Forager.ai?
✅ Continuously refreshed: Records are recrawled on a rolling basis.🌍 Global Reach: Access to 800M+ people and 65M+ companies worldwide.
💰 Cost-Effective: Unlimited access at a competitive price.
🔍 Tailored Solutions: Custom datasets to fit your unique requirements.
💡 Exceptional Support: Dedicated customer success team to ensure your success.