Monitor any company's open jobs as structured data.

Three verbs, one feed.

Discover writes the scraper, Monitor runs it, Repair keeps it working. You never maintain a parser.

Discover

A model reads the careers page once and writes a custom scraper tuned to its exact markup.

Monitor

A trusted engine replays that scraper on a schedule and diffs every run for new and closed roles.

Repair

When the page changes and a run breaks, the scraper is regenerated and verified before the next poll.

A schema you can build on.

Every job is normalized to the same shape, no matter how the source page is laid out. Read it three ways.

{
  "title":          string,
  "location":       string,
  "salary":         string | null,
  "employmentType": string,
  "department":     string | null,
  "description":    string,
  "url":            string,
  "posted":         string  // ISO 8601
}

$ curl https://api.whitecontext.com/v1 \
    /companies/acme/jobs \
    -H "Authorization: Bearer $WC_KEY"

{ "company": "acme",
  "new": 3, "closed": 1,
  "jobs": [ /* ... */ ] }

GUI

A dashboard to add companies, browse the feed, and watch diffs land in real time.

REST API

Pull the same structured jobs as JSON, filter by company, location, or department.

MCP server

Expose the feed as tools so agents can query monitored jobs without bespoke glue.

Who reads the feed.

Anyone who treats hiring as a signal. One feed, many jobs to be done.

• Recruiters & sourcers

  See which competitors are hiring for a role the moment it opens, not weeks later.

• Job seekers

  Track a shortlist of companies and get the new listing before it hits a job board.

• Market researchers

  Measure hiring velocity by team and geography across a whole sector at once.

• Sales & supply-chain teams

  Read open headcount as a buying signal — a growing team is a budget forming.

• Investors & analysts

  Build a hiring time series per portfolio company straight from the source page.

• HR & staffing agencies

  Keep client requisitions in sync with what their careers site actually shows.

Questions, answered.

How accurate is the extracted data?

Each scraper is generated for one page and verified against it before it goes live. Fields the page does not expose are returned null rather than guessed.

How fresh is the feed?

Checks run as often as hourly depending on your plan. Every run is diffed, so you see new and closed roles with the timestamp they changed.

Which companies can I monitor?

Any company with a public careers page. Hosted ATS portals and bespoke in-house pages are both supported through the same Discover step.

Who owns the data?

You do. Structured jobs are yours to export over the API, pipe into your own systems, or delete at any time.

Is there an API and an MCP server?

Yes. The same monitored feed is available through the GUI, a REST API, and a Model Context Protocol server for agent workflows.