Job Postings Dataset for Labour Market Research and Insights
# | _meta.creationDate |
_meta.creationtimestamp |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.company_size |
doc.country |
doc.description |
doc.employee_count |
doc.facebook |
doc.founded |
doc.headquarters |
doc.id |
doc.industry |
doc.interview_difficulty |
doc.interview_difficulty_count |
doc.interview_duration |
doc.interview_duration_count |
doc.interview_experience |
doc.interview_experience_count |
doc.links |
doc.location |
doc.logo |
doc.name |
doc.open_job_count |
doc.people_also_viewed |
doc.rating |
doc.revenue |
doc.review_compensation_benefit |
doc.review_count |
doc.review_culture |
doc.review_job_security_advancement |
doc.review_management |
doc.review_worklife_balance |
doc.source_id |
doc.twitter |
doc.url |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
2 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
5 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
6 | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
7 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx |
8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx |
9 | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx |
10 | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx |
... | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx |
# | _meta.creationDate |
_meta.creationtimestamp |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.apply_url |
doc.company_image_url |
doc.company_name |
doc.company_stack_url |
doc.company_website |
doc.created_at_timestamp |
doc.id |
doc.location |
doc.remote |
doc.slug |
doc.title |
doc.tools |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
10 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
_meta.creationDate
|
String | [2021, 4, 8] | |
_meta.creationtimestamp
|
Float | 1617862990.576721 | |
_meta.entity
|
String | company | |
_meta.origin
|
String | indeed | |
_meta.lastupdatedate
|
String | [2023, 7, 10] | |
_meta.lastupdatetimestamp
|
Float | 1688994338.278959 | |
_meta.versionid
|
String | 062277a8 | |
doc.company_size
|
String | ||
doc.country
|
String | www | |
doc.description
|
|||
doc.employee_count
|
|||
doc.facebook
|
String | ||
doc.founded
|
|||
doc.headquarters
|
|||
doc.id
|
String | indeed_company_Healthworks | |
doc.industry
|
String | Insurance Agencies & Brokerages | |
doc.interview_difficulty
|
String | MEDIUM | |
doc.interview_difficulty_count
|
Integer | 14 | |
doc.interview_duration
|
String | About a day or two | |
doc.interview_duration_count
|
Integer | 11 | |
doc.interview_experience
|
String | FAVORABLE | |
doc.interview_experience_count
|
Integer | 12 | |
doc.links
|
String | [] | |
doc.location
|
String | ||
doc.logo
|
String | https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/96x96... | |
doc.name
|
String | Healthworks | |
doc.open_job_count
|
Integer | 18 | |
doc.people_also_viewed
|
String | [{https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/64x... | |
doc.rating
|
Float | 3.7 | |
doc.revenue
|
String | ||
doc.review_compensation_benefit
|
Float | 3.1 | |
doc.review_count
|
Integer | 31 | |
doc.review_culture
|
Float | 3.5 | |
doc.review_job_security_advancement
|
Float | 2.9 | |
doc.review_management
|
Float | 3.3 | |
doc.review_worklife_balance
|
Float | 3.5 | |
doc.source_id
|
String | Healthworks | |
doc.twitter
|
String | ||
doc.url
|
String | https://www.indeed.com/cmp/Healthworks |
Attribute | Type | Example | Mapping |
---|---|---|---|
_meta.creationDate
|
String | [2022, 4, 17] | |
_meta.creationtimestamp
|
Float | 1650155584.900456 | |
_meta.entity
|
String | jobs | |
_meta.origin
|
String | stackshare | |
_meta.lastupdatedate
|
String | [2022, 4, 19] | |
_meta.lastupdatetimestamp
|
Float | 1650357167.764727 | |
_meta.versionid
|
String | fcc9aa5e | |
doc.apply_url
|
String | https://www.mongodb.com/careers/job/?gh_jid=4136306 | |
doc.company_image_url
|
String | https://img.stackshare.io/company/938/default_61b7312ff23... | |
doc.company_name
|
String | MongoDB | |
doc.company_stack_url
|
String | https://stackshare.io/companies/mongodb | |
doc.company_website
|
String | http://www.mongodb.com/ | |
doc.created_at_timestamp
|
Integer | 1650009751 | |
doc.id
|
Integer | 1770110 | |
doc.location
|
String | Madrid, Barcelona or Spain | |
doc.remote
|
Boolean | t | |
doc.slug
|
String | mongodb-software-engineer-sales-engineering-engineering-c... | |
doc.title
|
String | Software Engineer - Sales Engineering, Engineering Corps | |
doc.tools
|
String | [] |
Attribute | Type | Example | Mapping |
---|---|---|---|
Job Title
|
|||
Company
|
|||
Seniority
|
|||
Industry
|
|||
Location
|
|||
Salary
|
|||
Employment type
|
Description
Geography
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Job Postings Dataset for Labour Market Research and Insights?
Job Posting Datasets for labor market insights: enhance your recruitment strategies; predict future labor industry trends; discover investment opportunities.
What is Job Postings Dataset for Labour Market Research and Insights used for?
This product has 5 key use cases. Oxylabs recommends using the data for Human Resources (HR), HR Intelligence, Investment Opportunities, Labor Industry Trends, and Recruitment Strategies. Global businesses and organizations buy Job Postings Data from Oxylabs to fuel their analytics and enrichment.
Who can use Job Postings Dataset for Labour Market Research and Insights?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Job Postings Data. Get in touch with Oxylabs to see what their data can do for your business and find out which integrations they provide.
Which countries does Job Postings Dataset for Labour Market Research and Insights cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Oxylabs is headquartered in Lithuania.
How much does Job Postings Dataset for Labour Market Research and Insights cost?
Pricing information for Job Postings Dataset for Labour Market Research and Insights is available by getting in contact with Oxylabs. Connect with Oxylabs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Job Postings Dataset for Labour Market Research and Insights?
Businesses can buy Job Postings Data from Oxylabs and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Oxylabs can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Job Postings Dataset for Labour Market Research and Insights?
You can compare and assess the data quality of Oxylabs using Datarade’s data marketplace. Oxylabs appears on selected Datarade top lists ranking the best data providers, including Best APIs For SEO to use in 2023, Best 6 SERP Tracking APIs to use in 2023, and Best +8 Real Estate APIs to use in 2023.
What are similar products to Job Postings Dataset for Labour Market Research and Insights?
This Tabular Data has 3 related products. These alternatives include Forager.ai - Global Job Postings Data Set 732M Records 21M Updates/Month Delivery Hourly via CSV/JSON/PostgreSQL Human Resources (HR) Data, OpenWeb Ninja Job Postings Data, Salary Data + More API Global LinkedIn, Indeed, Glassdoor, ZipRecruiter, Monster + All Job Sites Real-Time, and Grepsr Jobs Posting Data Feeds from Job Aggregator sites: LinkedIn, Indeed, Glassdoor, Monster, Zip recruiter Global Coverage. You can compare the best Job Postings Data providers and products via Datarade’s data marketplace and get the right data for your use case.