Company Search by Technology (Beta)

POST https://api.jobspipe.dev/v1/companies/search

Returns companies whose own job postings show they use the technologies you ask for - "which companies in Germany use Snowflake and dbt" - with the evidence behind every answer: how many postings named the technology, how strongly, over which time windows, and the first and last date we saw it. Requires authentication.

The filter and field names follow the TheirStack company search, so an integration written for it can switch by changing the base URL and key. Where we hold more evidence than TheirStack does, it is added beside their fields, never in place of them.

Evidence tiers

Every company-technology pair is graded into one of three tiers from the postings behind it. Single mentions are kept and labelled, never dropped.

A posting re-published on a second board, or under a new id, is still one posting. Before a technology release is served, we judge a sample of 300 company-technology pairs and require at least 95% precision on confirmed and 85% on likely. The measured precision per tier will be published here with the first release.

tier_min sets the weakest tier that counts for filtering and for technologies_found. The default is likely.

Request

All filters are optional except that at least one of company_technology_slug_or, company_technology_slug_and or expand_technology_slugs is required. Filters combine with AND. An unknown field is a 400, never silently ignored.

Slugs are lowercase, e.g. snowflake, dbt, apache-kafka. GET /v1/technologies lists them.

curl https://api.jobspipe.dev/v1/companies/search \
  -H "Authorization: Bearer jp_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"company_technology_slug_and": ["snowflake", "dbt"], "company_country_code_or": ["DE"], "limit": 25}'

import requests

resp = requests.post(
    "https://api.jobspipe.dev/v1/companies/search",
    headers={"Authorization": "Bearer jp_live_your_key_here"},
    json={"company_technology_slug_and": ["snowflake", "dbt"], "company_country_code_or": ["DE"], "limit": 25},
    timeout=60,
)
companies = resp.json()["data"]

const res = await fetch("https://api.jobspipe.dev/v1/companies/search", {
  method: "POST",
  headers: { Authorization: "Bearer jp_live_your_key_here", "Content-Type": "application/json" },
  body: JSON.stringify({ company_technology_slug_and: ["snowflake", "dbt"], company_country_code_or: ["DE"], limit: 25 }),
});
const { data: companies } = await res.json();

Response

{
  "metadata": {
    "truncated_results": 0,
    "truncated_companies": 0,
    "credits_charged": 1,
    "companies_already_paid": 0,
    "next_cursor": null,
    "as_of": "2026-09-25 06:00:00"
  },
  "data": [
    {
      "id": "2512632719191904832",
      "name": "Northwind Analytics GmbH",
      "domain": "northwind.example",
      "url": "https://northwind.example",
      "logo": null,
      "country_code": "DE",
      "employee_count": 1800,
      "employee_count_range": "1001-5000",
      "founded_year": 2009,
      "annual_revenue_usd": null,
      "industry": null,
      "linkedin_url": "https://www.linkedin.com/company/northwind-example",
      "num_jobs": 214,
      "num_jobs_found": 31,
      "num_jobs_last_30_days": 12,
      "num_technologies": 3,
      "technology_slugs": ["snowflake", "dbt", "apache-airflow"],
      "technology_names": ["Snowflake", "dbt", "Apache Airflow"],
      "technologies_found": [
        {
          "technology": {
            "slug": "snowflake",
            "name": "Snowflake",
            "category": "Data Warehouse",
            "category_slug": "data-warehouse",
            "parent_category": "Data",
            "kind": "product",
            "logo": null
          },
          "confidence": "high",
          "tier": "confirmed",
          "jobs": 27,
          "jobs_last_7_days": 2,
          "jobs_last_30_days": 9,
          "jobs_last_180_days": 22,
          "first_date_found": "2024-11-04",
          "last_date_found": "2026-09-22",
          "rank_within_category": 1,
          "relative_occurrence_within_category": 1,
          "required_jobs": 19,
          "preferred_jobs": 5,
          "mentioned_jobs": 3,
          "recency": "active",
          "share": 0.1262,
          "occupations": ["2511", "2521"],
          "countries": ["DE", "AT"]
        }
      ]
    }
  ]
}

Company fields

Evidence fields (technologies_found[])

metadata.as_of is when the current technology release was published. Placeholder employers such as "Confidential" are never returned.

Cost

One credit per company returned. A company you already paid for this calendar month is free every time it comes back, in any search and through any key; metadata.companies_already_paid counts those. An empty page costs nothing. Free accounts get at most 25 companies per call.

To download every matching company as one CSV or JSON Lines file instead of paging, use the technology export (paid plans). Companies paid for in either are free in the other for the rest of the month.

Errors