# Data Dictionary: Multi-source Jobs API Find all data fields with explanations available in the Multi-source Jobs Data. Each category includes a table listing the available data fields, their explanations, and data types. {% tabs %} {% tab title="Data fields per category" %} 1. [Metadata](#metadata) 2. [Job sources](#job-sources) 3. [Job information](#job-information) 4. [Recruiter information](#recruiter-information) 5. [Location information](#location-information) 6. [Company information](#company-information) 7. [Company funding](#company-funding) 8. [Company technologies](#company-technologies) 9. [Salary information](#salary-information) 10. [Benefits](#benefits) {% endtab %} {% endtabs %} {% hint style="info" %} All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes. {% endhint %} ## Metadata | Data field | Description | Data type | | ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- | | `id` | Unified job identifier across all sources | Long | |

job\_id\_expired

|

Indicates whether the job cluster is now considered fully expired, with all related jobs deleted and expired. Responses are:
1 – expired. Field value will never change to 0 again;
0 – not expired

| Integer | | `created_at` | Timestamp when the job record was first created | Timestamp | | `updated_at` | Timestamp when the job record was last updated | Timestamp | | `date_posted` | Posting date | Timestamp | | `valid_through` | Expiry date | Timestamp | | `status` |

Job cluster status after aggregation:

| Integer | **Refer to the table example from the data:** {% code title="Metadata" %} ```json "id": 12345678, "job_id_expired": 1, "created_at": "2025-06-02T00:06:00.000", "updated_at": "2025-07-22T03:54:10.504", "date_posted": null, "valid_through": null, "status": 3, ``` {% endcode %} ## Job sources | Data field | Description | Data type | | ------------- | ------------------------------------------------------------------------------------------------------------------------ | ---------------- | | `job_sources` | List of job postings from different sources for the same job | Array of structs | | `source_id` | Source-specific job ID | String | | `source` | Name of the data source (Professional network, Indeed, Glassdoor, etc.) | String | | `updated_at` | Last update timestamp from this source | Timestamp | | `url` | URL of the job post in the source | String | | `status` |

Posting status:

| String | **Refer to the table example from the data:** {% code title="Job sources" %} ```json "job_sources": [ { "source_id": "1234567890", "source": "professional network", "updated_at": "2025-07-01T05:53:10.535", "url": "https://www.professional-network.com/jobs/service-specialist-1234567890", "status": "deleted" }, { "source_id": "indeed_job_1a2b3c4d", "source": "indeed", "updated_at": "2025-07-10T00:21:00.000", "url": "https://www.indeed.com/view-job?jk=1a2b3c4d", "status": "inactive" }, { "source_id": "glassdoor_job_1020304050", "source": "glassdoor", "updated_at": "2025-07-22T03:54:10.504", "url": "https://www.glassdoor.com/job-listing/service-specialist-?ab=1020304050", "status": "inactive" } ], ``` {% endcode %} ## Job information | Data field | Description | Data type | | ------------------------ | ------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `title` | Standardized job title | String | | `description` | Cleaned full description | String | | `department` | Department name | String | | `management_level` | Management responsibility level | String | | `is_decision_maker` | Marks if the employee is a decision maker, based on `active_experience_title` | Boolean | | `seniority` | Level of seniority | String | | `functions` | Standardized job functions | Array of strings | | `external_url` | External (company) job URL | String | | `applicants_count` | Number of applicants | String | | `employment_type` | Standardised values to display one of the values: “Full-time “, “Part-time“, “Contract”, “Temporary“, “Internship“, “Volunteer“ | String | | `shift_schedule` | List of shift types (e.g., “Monday – Friday”) | Array of strings | | `accepts_remote` | Accepts remote work | Boolean | | `is_urgently_hiring` | Urgent hire | Boolean | | `is_easy_apply` | Supports “quick apply” | Boolean | | `is_responsive_employer` | Employer marked as responsive | Boolean | **Refer to the table example from the data:** {% code title="Job information" %} ```json "title": "Backend Engineer", "description": "We're looking for a skilled backend engineer to join our growing team.", "department": "Engineering and Technical", "management_level": "Specialist", "is_decision_maker": false, "seniority": "Mid-Senior level", "functions": [ "Backend Engineer" ], "external_url": null, "applicants_count": "Be among the first 25 applicants", "employment_type": "Full-time", "is_urgently_hiring": false, "is_easy_apply": false, "is_responsive_employer": false, "shift_schedule": [ "Monday to Friday" ], "accepts_remote": false, ``` {% endcode %} ## Recruiter information | Data field | Description | Data type | | ------------- | --------------------------------------- | --------- | | `recruiter` | Recruiter or contact data, if available | Struct | | `profile_url` | Recruiter’s public profile URL | String | | `full_name` | Full name | String | | `first_name` | First name | String | | `middle_name` | Middle name | String | | `last_name` | Last name | String | **Refer to the table example from the data:** {% code title="Recruiter information" %} ```json "recruiter": { "profile_url": "https://www.professional-network.com/john-doe", "full_name": "John Doe", "first_name": "John", "middle_name": null, "last_name": "Doe" }, ``` {% endcode %} ## Location information | Data field | Description | Data type | | ----------- | ------------------------------------ | --------- | | `location` | Job location | String | | `country` | Country | String | | `city` | City | String | | `state` | State | String | | `latitude` | Latitude of location (if available) | Float | | `longitude` | Longitude of location (if available) | Float | **Refer to the table example from the data:** {% code title="Location information" %} ```json "location": "Akron, OH", "country": "United States", "city": "Akron", "state": "Ohio", "latitude": 41.0812, "longitude": 81.5188, ``` {% endcode %} ## Company information | Data field | Description | Data type | | --------------------------------- | ------------------------------------------------------------------------------------------------------ | ---------------- | | `company_ids` | Source-specific company IDs | Struct | | `professional_network_company_id` | Professional network company ID | Long | | `gd_company_id` | Glassdoor company ID | String | | `ind_company_id` | Indeed company ID | String | | `company_name` | Standardized company name | String | | `company_url` | Company's website | String | | `company_domain` | Cleaned the main company domain | String | | `company_logo_url` | Logo URL (available from Professional network only) | String | | `company_description` | Short description | String | | `company_size_range` | Company size based on employee count range (as selected by the company profile administrator) | String | | `company_employees_count` | Number of employees on Professional network who associated their experience with the company | Long | | `company_followers` | Company's profile follower count on Professional network | Integer | | `company_industry` | Primary industry | String | | `company_type` | Company type | String | | `company_enriched_keywords` | Categories and keywords that are assigned to the company profile and products across various platforms | Array of strings | | `company_hq_region` | Detailed region where the company's headquarters is located | Array of strings | | `company_hq_country` | Country where the company's headquarters is located | String | | `company_hq_country_iso2` | ISO 2-letter code of the headquarters country | String | | `company_hq_country_iso3` | ISO 3-letter code of the headquarters country | String | | `company_hq_location` | Headquarters location | String | | `company_hq_full_address` | Full address of the headquarters | String | | `company_hq_city` | Headquarters city | String | | `company_hq_state` | Headquarters state | String | | `company_hq_street` | Headquarters street address | String | | `company_hq_zipcode` | Headquarters zip code | String | | `company_locations_full` | List of company locations | Array of structs | | `location_address` | Company location address | String | | `is_primary` | Indicates if this is the primary company location | Integer | **Refer to the table example from the data:** {% code title="Company information" %} ```json "company_ids": { "professional_network_company_id": 10779556, "gd_company_id": null, "ind_company_id": "Example-Company-1" }, "company_name": "Example Company", "company_url": "http://www.example-company.com", "company_domain": "example-company.com", "company_logo_url": "https://www.professional-network.com/logo.png", "company_description": "Example Company provides innovative software solutions for businesses.", "company_size_range": "501-1000 employees", "company_employees_count": 1000, "company_followers": 12345, "company_industry": "Software", "company_type": "Private", "company_enriched_keywords": [ "AI", "Cloud", "SaaS", "Business Tools" ], "company_hq_region": [ "Americas", "Northern America", "AMER" ], "company_hq_country": "United States", "company_hq_country_iso2": "US", "company_hq_country_iso3": "USA", "company_hq_location": "Austin, TX, United States", "company_hq_full_address": "123 Main Street; Suite 500; Austin, TX 78701, US", "company_hq_city": "Austin", "company_hq_state": "Texas", "company_hq_street": "123 Main Street; Suite 500", "company_hq_zipcode": "78701", "company_locations_full": [ { "location_address": "123 Main St, Cityville, USA", "is_primary": true } ], ``` {% endcode %} ## Company funding | Data field | Description | Data type | | --------------------------------------------------- | ---------------------------------------- | ---------------- | | `company_last_funding_round_type` | Last funding round type (e.g., Series A) | String | | `company_last_funding_round_announced_date` | Date of the latest funding round | Date | | `company_last_funding_round_lead_investors` | Lead investors | Array of strings | | `company_last_funding_round_amount_raised` | Amount raised in the most recent round | Long | | `company_last_funding_round_amount_raised_currency` | Currency of the raised amount | String | | `company_last_funding_round_num_investors` | Number of investors | Long | **Refer to the table example from the data:** {% code title="Company funding" %} ```json "company_last_funding_round_type": "Series A", "company_last_funding_round_announced_date": "2025-08-20", "company_last_funding_round_lead_investors": [ "John Doe" ], "company_last_funding_round_amount_raised": 10000000, "company_last_funding_round_amount_raised_currency": "USD", "company_last_funding_round_num_investors": 1, ``` {% endcode %} ## Company technologies | Data field | Description | Data type | | --------------------------- | ---------------------------------- | ---------------- | | `company_technologies_used` | Technologies used by the company | Array of structs | | `technology` | Technology name | String | | `first_verified_at` | When was technology first verified | Date | | `last_verified_at` | When was technology last verified | Date | **Refer to the table example from the data:** {% code title="Company technologies" %} ```json "company_technologies": [ { "technology": "figma", "first_verified_at": "2023-06-01", "last_verified_at": "2025-07-09" }, { "technology": "microsoft", "first_verified_at": "2025-06-20", "last_verified_at": "2025-08-04" } ] ``` {% endcode %} ## Salary information | Data field | Description | Data type | | ----------- | ------------------------------------------------------------------- | ---------------- | | `salary` | All salary records for this job | Array of structs | | `min_value` | Minimum advertised salary | Float | | `max_value` | Maximum advertised salary | Float | | `currency` | Salary currency | String | | `type` | One of the following values: "Year", "Month", "Week", "Day", "Hour" | String | | `text` | Raw/cleaned salary text | String | | `source` | Source name | String | **Refer to the table example from the data:** {% code title="Salary information" %} ```json "salary": [ { "min_value": 28.33, "max_value": 43.11, "currency": "USD", "type": "HOUR", "text": "$28.33 - $43.11 an hour", "source": "indeed" } ] ``` {% endcode %} ## Benefits | Data field | Description | Data type | | ---------- | --------------------------------------------------- | ---------------- | | `benefits` | List of job benefits ("healthcare", "remote", etc.) | Array of strings | **Refer to the table example from the data:** {% code title="Benefits" %} ```json "benefits": [ "employee discount", "life insurance", "paid sick time", "vision insurance", "dental insurance", "health savings account", "health insurance" ] ``` {% endcode %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.coresignal.com/jobs-api/multi-source-jobs-api/data-dictionary-multi-source-jobs-api.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.