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Industry · HR tech

People data feed for HR tech

Stop scraping.

What HR tech teams need from people data feed, what Forager returns, and how teams like yours test it.

3 recipes use people data feed for HR tech teams.

  • $5 free credits
  • 800M+ people
  • 65M+ companies

A selection of teams in HR tech using Forager for people data feed · plus other teams on Forager

  • SeekOut
  • Vieu
  • MarketMapr
  • Adzact
  • Evident
  • SBR2TH
  • Chamaeleon
  • DealSource
For HR tech teams
The job
Index global profiles so recruiters can type 'Java developers in Oslo who sold B2B software' and get non-obvious fits.
When
A recruiting platform builds or expands its own candidate index.
Outcome
Recruiters surface niche, non-applicant profiles and cut sourcing time.
Lead recipe 1

Build natural-language candidate search on a licensed people feed

When to use it: A recruiting platform builds or expands its own candidate index.

  1. Ingest people_feed (experience, education, skills, location) and company_feed
  2. Normalise titles and employers; embed profiles for semantic search
  3. Tag companies (stage, industry) to support 'people from companies like X' queries
  4. Refresh the index per delivery and enrich on open with POST /person_detail_lookup/
InputsOutputs
people feedsearchable candidate index
company feedsemantic match
company tags
Lead recipe 2

Run always-on sourcing agents on fresh people data

When to use it: A requisition is open and the agent runs daily against new and changed profiles.

Show the steps
  1. Agent subscribes to people_feed deltas and job_postings_feed for market context
  2. Match new/changed profiles against open role criteria
  3. Queue matches for recruiter review with reasons
  4. Auto-sequence approved candidates
InputsOutputs
open requisitionsnew candidate matches
feed deltasmatch reasons
sequence status
Open the recipe: Run always-on sourcing agents on fresh people data
Lead recipe 3

Benchmark a company's skills mix against its competitors

When to use it: An HR or workforce-planning team runs its annual skills review, or plans a new capability.

Show the steps
  1. Load people_feed and select current roles at the customer and its peers (forager_organization_id)
  2. Group people by function from role_title and count skills per function
  3. Compare skill share and team size by function across the peer set
  4. Show the gaps and where peers hired that talent from (prior roles)
InputsOutputs
customer and peer company listskills by function
people feedpeer comparison
function mappingsource companies for each skill
Open the recipe: Benchmark a company's skills mix against its competitors
Fields

Fields you get back

  • searchable candidate index
  • semantic match
  • company tags
  • new candidate matches
  • match reasons
  • sequence status
  • skills by function
  • peer comparison
  • source companies for each skill

From the workflows above. Full field reference: People data feed and the People data feed documentation.

Who owns this

Who evaluates people data feed at HR tech teams, and what they are judged on

  • Data engineering lead who ingests the feed: judged on fields and freshness
  • Data acquisition or partnerships lead: judged on licence terms and cost
  • Product owner of the search or intelligence product: judged on what users find

A selection of teams in HR tech using Forager for people data feed · plus other teams on Forager

  • SeekOut
    • Talent intelligence

    Selected use case: Forager’s people data feed, used to keep candidate profiles current.

    2–3 years on the Forager people data feed, by SeekOut’s own account1

  • Vieu
    • ABM & intent

    Relationship-mapping platform that helps sales teams and AI agents find warm introductions.

  • MarketMapr
    • Talent intelligence

    Selected use case: licensed people and company feeds that let recruiters map a whole niche.

  • Adzact
    • ABM & intent

    B2B advertising platform that models ideal buyers from business signals.

  • Evident
    • Market intelligence

    Publisher of the Evident AI Index, which ranks banks, insurers and payments firms on AI maturity.

  • SBR2TH
    • Staffing firms

    Selected use case: people and job-postings feeds loaded into its own data lake for AI search.

  • Chamaeleon
    • VC & PE research

    Early-stage venture firm that analyses companies with its own AI and quantitative engine.

  • DealSource
    • VC & PE research

    Selected use case: company and people data for private-company profiles.

Sources

1 SeekOut: SeekOut, customer interview, Sep 2026.

“Forager leads in accuracy across all regions, Forager's dual strength in accuracy and volume makes it a powerhouse for sales teams that are targeting businesses around the globe.”
ClayStefan K.Data Partnerships
800M+people
65M+companies
How to test it

Test people data feed on your own sample

  1. Pull a sample. Take profiles your users looked up last week.
  2. Run it. Use a self-serve key, or book a demo and send us the list.
  3. Measure what your users feel. Connect rate for mobiles, bounces for emails, and whether the right person answers.
  • $5 free credits
  • No credit card
  • Run your sample
FAQ

Frequently asked questions

How do HR tech companies use the people data feed?

Index global profiles so recruiters can type 'Java developers in Oslo who sold B2B software' and get non-obvious fits. A licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. This page walks through 3 workflows with the exact steps.

How much does the people data feed cost for HR tech companies?

People data feed is a flat annual licence, global or regional, not priced in credits. The price depends on the records, fields and refresh schedule you license, so talk to sales with your use case and we quote it.

Which HR tech workflows use the people data feed?

Build natural-language candidate search on a licensed people feed, run always-on sourcing agents on fresh people data and benchmark a company's skills mix against its competitors. Each is on this page with its trigger, steps and outcome.

What data do AI recruiting search engines like natural-language sourcing tools use?

You send people feed and company feed. You get back searchable candidate index, semantic match and company tags. Recruiters surface niche, non-applicant profiles and cut sourcing time.

Can HR tech companies see a sample of the people data feed before licensing it?

Yes. Request a sample extract of the people data feed on a 30-minute call and check the fields against your own records before you license it.

What is an AI sourcing agent and what data does it need?

You send open requisitions and feed deltas. You get back new candidate matches, match reasons and sequence status. Pipelines fill continuously instead of per search.

How accurate is Forager data?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

Should I use the people data feed or the API?

Use the API when your product needs one person at a time, at the moment a user asks. License the people data feed when you need the whole layer in your own warehouse or search index, for analytics, matching or retrieval, without a call per record.

Where can the people data feed be delivered?

Delivered as a data share to Snowflake, Databricks and Amazon S3. Everything else connects through the REST API with one API key.

Is there a contract or minimum commitment?

Data feeds are licensed on an annual agreement, with the term, volume and refresh schedule written into it. There are no self-serve plans for feeds.

What if we need more than the largest plan?

Pro, the largest self-serve plan, includes 22,500 credits a month (1,500 mobiles or 4,500 emails). Above that, enterprise plans with volume pricing are agreed with our team, and yearly billing costs 10% less than month to month on every self-serve plan. Platforms that embed Forager in their product pay per record at volume.

How is the data sourced, and what about privacy?

HR tech companies often have to explain their data source to their own customers. Bring your legal and security questions to a call with our team, and we take you through how Forager data is sourced and the terms that cover people data feed for HR tech companies. Forager's privacy policy is public, and anyone can send a request about their own personal data through the consumer rights form on forager.ai.

Start building

Put people, company and job data your users can act on inside your product

Send us a list. We run it, show you what we find, then talk volume and terms.

  • $5 free credits
  • No credit card
  • Run your sample
Platforms and teams that build on Forager
  • Clay
  • Juicebox
  • Nooks
  • Andela
  • HubSpot
  • SeekOut