Dictionary: Multi-source Jobs Data

find all data points with explanations available in the multi source jobs data each category includes a table listing the available data points, their explanations, and data types dictionary multi source jobs data /#metadata dictionary multi source jobs data /#job information dictionary multi source jobs data /#recruiter information dictionary multi source jobs data /#company information dictionary multi source jobs data /#company funding dictionary multi source jobs data /#company technologies dictionary multi source jobs data /#salary information dictionary multi source jobs data /#benefits metadata data point description data type job id unified job identifier across all sources string job id expired shows if the job cluster is now considered a fully expired job – all related jobs are deleted and expired responses are 1 – expired 0 – not expired integer 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, gd, etc ) string updated at last update timestamp from this source timestamp url url of the job post in the source string status posting status active, expired, deleted string 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 unified status 1 – active, 2 – expired, 3 – deleted integer refer to the table example from the data metadata "job id" "a1b2c3d4e5f6g7h8i9j0", "job id expired" 1, "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" } ], "created at" "2025 06 02t00 06 00 000", "updated at" "2025 07 22t03 54 10 504", "date posted" null, "valid through" null, "status" 3, job information data point 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 1 – the employee is a decision maker 0 – the employee is not a decision maker boolean/integer 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 job info "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, recruiter information data point 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 recruiter info "recruiter" { "profile url" "https //www professional network com/john doe", "full name" "john doe", "first name" "john", "middle name" null, "last name" "doe" }, company information data point description data type company ids source specific company ids struct 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 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 company info "company ids" { "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 } ], company funding data point description data type company last funding round name last funding round (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 company funding "company last funding round name" "example funding round name", "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, company technologies data point 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 company technologies "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" } ] salary information data point 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 salary info "salary" \[ { "min value" 28 33, "max value" 43 11, "currency" "usd", "type" "hour", "text" "$28 33 $43 11 an hour", "source" "indeed" } ] benefits data point description data type benefits list of job benefits ("healthcare", "remote", etc ) array of strings refer to the table example from the data benefits "benefits" \[ "employee discount", "life insurance", "paid sick time", "vision insurance", "dental insurance", "health savings account", "health insurance" ]