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Datasets API endpoint

Facet the jobs dataset API

Aggregations over all open postings: top companies hiring, breakdown by provider (every provider filterable via /datasets/jobs/search's `provider` param), department, location, employment type, skill, benefit, education, security clearance, seniority, and ESCO/ISCO job family, plus the remote share — a live hiring-market snapshot. Seniority uses one mutually exclusive value: `entry`, `mid`, or `senior`; ambiguous occupations are omitted from job-family buckets.

GETapiKey1 credit/requestDatasetsdatasets.jobsFacetResponseDoc/datasets/jobs/facets

Endpoint facts

Method: GET
API path: /datasets/jobs/facets
Auth: apiKey
Credits: 1 credit/request
Charged on: Successful 2xx responses only
Platform: Datasets
Execution: Stored dataset records. No live scraping, browser session or proxy routing.
Response schema: #/definitions/datasets.jobsFacetResponseDoc

Stored structured dataset search API Try Facet the jobs dataset API in Playground Datasets API documentation

How this endpoint behaves

Query parameters:

size — buckets per facet, default 20, max 100.

Returns facets with top_companies, by_provider, by_department, by_location, by_employment_type, by_ai_tool, by_benefit, by_security_clearance, by_education_level, by_skill, by_seniority, and by_job_family (each {key, count}), plus remote_open and total_open. by_seniority uses the mutually exclusive values entry, mid, and senior. by_job_family counts only postings with a sufficiently confident ESCO occupation assignment; ambiguous postings are omitted.

Live monitoring

Monitored request: GET /datasets/jobs/facets?size=5
Checks passed, 7 days to 14 Oct 2026: 100%
Median response time: 4.20 s

Current status of every endpoint

Sampled response

Request, 14 Oct 2026: GET /datasets/jobs/facets?size=20
Items in facets.top_companies: 20
Fields filled in every checked item: 2

Field	Filled in, of 20 checked	Values in the sample
key	20
count	20	5,511 to 24,844, median 9,820

Request parameters

Parameter	Type	Required	Default	Description	Example
size	integer	No		Buckets per facet, default 20, max 100
x-api-key (header)	string	Yes		API key required

cURL example

curl -X GET "https://api.crawlora.net/api/v1/datasets/jobs/facets" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Example JSON response

{
  "code": 200,
  "msg": "OK",
  "data": {
    "facets": {
      "top_companies": [
        {
          "key": "Stripe",
          "count": 511
        }
      ],
      "by_provider": [
        {
          "key": "greenhouse",
          "count": 120000
        }
      ],
      "by_department": [
        {
          "key": "Engineering",
          "count": 40000
        }
      ],
      "by_location": [
        {
          "key": "Remote",
          "count": 30000
        }
      ],
      "by_employment_type": [
        {
          "key": "Full-time",
          "count": 180000
        }
      ],
      "by_seniority": [
        {
          "key": "mid",
          "count": 150000
        },
        {
          "key": "entry",
          "count": 65000
        },
        {
          "key": "senior",
          "count": 35000
        }
      ],
      "by_job_family": [
        {
          "key": "Information and communications technology professionals",
          "count": 42000
        }
      ],
      "remote_open": 30000,
      "total_open": 250000
    }
  }
}

Request schema

No body schema

Response schema

#/definitions/datasets.jobsFacetResponseDoc

Field	Type	Required	Example	Description
code	integer	No	200
data	datasets.JobsFacetResponse	No
data.facets	object	No		Counts of open job postings grouped by company, provider, department, location, employment type, skill and other attributes.
data.facets.by_ai_tool	array	No		ByAITool counts canonical AI tool and platform names mentioned in open job postings.
data.facets.by_ai_tool[].count	integer	No		Number of open job postings with this value.
data.facets.by_ai_tool[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_benefit	array	No		ByBenefit, BySecurityClearance, and ByEducationLevel count canonical requirements and offerings mentioned in open job postings.
data.facets.by_benefit[].count	integer	No		Number of open job postings with this value.
data.facets.by_benefit[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_department	array	No		Open posting counts by department.
data.facets.by_department[].count	integer	No		Number of open job postings with this value.
data.facets.by_department[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_education_level	array	No		Open posting counts by education level mentioned in the posting.
data.facets.by_education_level[].count	integer	No		Number of open job postings with this value.
data.facets.by_education_level[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_employment_type	array	No		Open posting counts by employment type, for example `Full-time`.
data.facets.by_employment_type[].count	integer	No		Number of open job postings with this value.
data.facets.by_employment_type[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_job_family	array	No		ByJobFamily counts conservative ESCO/ISCO occupation-family classifications; postings without sufficient evidence are omitted.
data.facets.by_job_family[].count	integer	No		Number of open job postings with this value.
data.facets.by_job_family[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_location	array	No		Open posting counts by location.
data.facets.by_location[].count	integer	No		Number of open job postings with this value.
data.facets.by_location[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_provider	array	No		Open posting counts by job source.
data.facets.by_provider[].count	integer	No		Number of open job postings with this value.
data.facets.by_provider[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_security_clearance	array	No		Open posting counts by security clearance level mentioned in the posting.
data.facets.by_security_clearance[].count	integer	No		Number of open job postings with this value.
data.facets.by_security_clearance[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_seniority	array	No		BySeniority counts the mutually exclusive entry/mid/senior classification over open postings.
data.facets.by_seniority[].count	integer	No		Number of open job postings with this value.
data.facets.by_seniority[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_skill	array	No		BySkill counts canonical ESCO skill labels mentioned in open job postings.
data.facets.by_skill[].count	integer	No		Number of open job postings with this value.
data.facets.by_skill[].key	string	No		Facet value, for example a company, department or location name.
data.facets.remote_open	integer	No		Number of open postings marked remote.
data.facets.top_companies	array	No		Companies with the most open postings, with the posting count for each.
data.facets.top_companies[].count	integer	No		Number of open job postings with this value.
data.facets.top_companies[].key	string	No		Facet value, for example a company, department or location name.
data.facets.total_open	integer	No		Total number of open postings.
msg	string	No	OK

Failure responses

Status	Description	Schema
400	Bad Request	#/definitions/app.Response
500	Internal Server Error	#/definitions/app.Response

Code examples

Use environment variables for secrets and keep Crawlora API keys server-side.

curl -X GET "https://api.crawlora.net/api/v1/datasets/jobs/facets" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Shared guides

Authentication Errors and retries Rate limits and credits Pricing Acceptable use

More Datasets endpoint docs Stored structured dataset search API Stored Datasets List API documentation Airbnb Markets Dataset Facets API documentation Airbnb Markets Dataset Country API documentation Nearby Airbnb Markets Dataset API documentation Airbnb Markets Dataset Search API documentation Facet the Apple Books dataset API documentation

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Docs menu

Datasets API endpoint

Facet the jobs dataset API

GETapiKey1 credit/requestDatasetsdatasets.jobsFacetResponseDoc/datasets/jobs/facets

Endpoint facts

Method: GET
API path: /datasets/jobs/facets
Auth: apiKey
Credits: 1 credit/request
Charged on: Successful 2xx responses only
Platform: Datasets
Execution: Stored dataset records. No live scraping, browser session or proxy routing.
Response schema: #/definitions/datasets.jobsFacetResponseDoc

Stored structured dataset search API Try Facet the jobs dataset API in Playground Datasets API documentation

How this endpoint behaves

Query parameters:

size — buckets per facet, default 20, max 100.

Live monitoring

Monitored request: GET /datasets/jobs/facets?size=5
Checks passed, 7 days to 14 Oct 2026: 100%
Median response time: 4.20 s

Current status of every endpoint

Sampled response

Request, 14 Oct 2026: GET /datasets/jobs/facets?size=20
Items in facets.top_companies: 20
Fields filled in every checked item: 2

Field	Filled in, of 20 checked	Values in the sample
key	20
count	20	5,511 to 24,844, median 9,820

Request parameters

Parameter	Type	Required	Default	Description	Example
size	integer	No		Buckets per facet, default 20, max 100
x-api-key (header)	string	Yes		API key required

cURL example

curl -X GET "https://api.crawlora.net/api/v1/datasets/jobs/facets" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Example JSON response

{
  "code": 200,
  "msg": "OK",
  "data": {
    "facets": {
      "top_companies": [
        {
          "key": "Stripe",
          "count": 511
        }
      ],
      "by_provider": [
        {
          "key": "greenhouse",
          "count": 120000
        }
      ],
      "by_department": [
        {
          "key": "Engineering",
          "count": 40000
        }
      ],
      "by_location": [
        {
          "key": "Remote",
          "count": 30000
        }
      ],
      "by_employment_type": [
        {
          "key": "Full-time",
          "count": 180000
        }
      ],
      "by_seniority": [
        {
          "key": "mid",
          "count": 150000
        },
        {
          "key": "entry",
          "count": 65000
        },
        {
          "key": "senior",
          "count": 35000
        }
      ],
      "by_job_family": [
        {
          "key": "Information and communications technology professionals",
          "count": 42000
        }
      ],
      "remote_open": 30000,
      "total_open": 250000
    }
  }
}

Request schema

No body schema

Response schema

#/definitions/datasets.jobsFacetResponseDoc

Field	Type	Required	Example	Description
code	integer	No	200
data	datasets.JobsFacetResponse	No
data.facets	object	No		Counts of open job postings grouped by company, provider, department, location, employment type, skill and other attributes.
data.facets.by_ai_tool	array	No		ByAITool counts canonical AI tool and platform names mentioned in open job postings.
data.facets.by_ai_tool[].count	integer	No		Number of open job postings with this value.
data.facets.by_ai_tool[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_benefit	array	No		ByBenefit, BySecurityClearance, and ByEducationLevel count canonical requirements and offerings mentioned in open job postings.
data.facets.by_benefit[].count	integer	No		Number of open job postings with this value.
data.facets.by_benefit[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_department	array	No		Open posting counts by department.
data.facets.by_department[].count	integer	No		Number of open job postings with this value.
data.facets.by_department[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_education_level	array	No		Open posting counts by education level mentioned in the posting.
data.facets.by_education_level[].count	integer	No		Number of open job postings with this value.
data.facets.by_education_level[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_employment_type	array	No		Open posting counts by employment type, for example `Full-time`.
data.facets.by_employment_type[].count	integer	No		Number of open job postings with this value.
data.facets.by_employment_type[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_job_family	array	No		ByJobFamily counts conservative ESCO/ISCO occupation-family classifications; postings without sufficient evidence are omitted.
data.facets.by_job_family[].count	integer	No		Number of open job postings with this value.
data.facets.by_job_family[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_location	array	No		Open posting counts by location.
data.facets.by_location[].count	integer	No		Number of open job postings with this value.
data.facets.by_location[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_provider	array	No		Open posting counts by job source.
data.facets.by_provider[].count	integer	No		Number of open job postings with this value.
data.facets.by_provider[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_security_clearance	array	No		Open posting counts by security clearance level mentioned in the posting.
data.facets.by_security_clearance[].count	integer	No		Number of open job postings with this value.
data.facets.by_security_clearance[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_seniority	array	No		BySeniority counts the mutually exclusive entry/mid/senior classification over open postings.
data.facets.by_seniority[].count	integer	No		Number of open job postings with this value.
data.facets.by_seniority[].key	string	No		Facet value, for example a company, department or location name.
data.facets.by_skill	array	No		BySkill counts canonical ESCO skill labels mentioned in open job postings.
data.facets.by_skill[].count	integer	No		Number of open job postings with this value.
data.facets.by_skill[].key	string	No		Facet value, for example a company, department or location name.
data.facets.remote_open	integer	No		Number of open postings marked remote.
data.facets.top_companies	array	No		Companies with the most open postings, with the posting count for each.
data.facets.top_companies[].count	integer	No		Number of open job postings with this value.
data.facets.top_companies[].key	string	No		Facet value, for example a company, department or location name.
data.facets.total_open	integer	No		Total number of open postings.
msg	string	No	OK

Failure responses

Status	Description	Schema
400	Bad Request	#/definitions/app.Response
500	Internal Server Error	#/definitions/app.Response

Code examples

Use environment variables for secrets and keep Crawlora API keys server-side.

curl -X GET "https://api.crawlora.net/api/v1/datasets/jobs/facets" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Shared guides

Authentication Errors and retries Rate limits and credits Pricing Acceptable use

Open in Playground Back to group

Facet the jobs dataset API

Endpoint facts

How this endpoint behaves

Live monitoring

Sampled response

Request parameters

cURL example

Example JSON response

Failure responses

Code examples

Shared guides

Related

Facet the jobs dataset API

Endpoint facts

How this endpoint behaves

Live monitoring

Sampled response

Request parameters

cURL example

Example JSON response

Failure responses

Code examples

Shared guides

Related