WageScape Global Job Postings Data | Salary Data for 16 Countries | Over 15.6M Hiring Organizations | 6M New Jobs Monthly across All Industries
# | JOB_ID |
TITLE |
ROLE_PRIMARY |
JOB_FAMILY |
SUB_JOB_FAMILY |
COMPANY |
COMPANY_REF |
TICKER |
NAICS_PRIMARY |
SIC_PRIMARY |
REGION_STATE |
LOCATION |
CITY |
STATE |
STATE_LONG |
LONGITUDE |
LATITUDE |
COUNTY |
ZIP |
POST_DATE |
REMOVE_DATE |
DURATION_DAYS |
SOC6D |
SOC6D_TITLE |
COMPANY_SIZE |
REVENUES |
COMPANY_URL_LINK |
ESTIMATED_SALARY |
SALARY |
OTHER_SALARY |
TAGS |
FULL_TEXT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | 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 |
3 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
5 | 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 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
6 | 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 |
7 | xxxxxxxx | xxxxxxx | Xxxxx | 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 |
8 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
9 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
10 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | 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 | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
JOB_ID
|
Float | 823000000000000.0 | |
TITLE
|
String | Phlebotomist I | |
ROLE_PRIMARY
|
String | Phlebotomist | |
JOB_FAMILY
|
String | Healthcare/Pharmacy Services | |
SUB_JOB_FAMILY
|
String | Physicians | |
COMPANY
|
String | Quest Diagnostics | |
COMPANY_REF
|
String | QUEST DIAGNOSTICS | |
TICKER
|
String | DGX | |
NAICS_PRIMARY
|
Integer | 3391 | |
SIC_PRIMARY
|
String | 80710000|80710100|80710000|80710000 | |
REGION_STATE
|
String | Columbia| SC MSA | |
LOCATION
|
String | Irmo| SC 29063 | |
CITY
|
String | Irmo | |
STATE
|
String | SC | |
STATE_LONG
|
String | South Carolina | |
LONGITUDE
|
Float | -81.19660187 | |
LATITUDE
|
Float | 34.11029816 | |
COUNTY
|
String | Richland | |
ZIP
|
Integer | 29063 | |
POST_DATE
|
String | 2023-07-18 13:42:05.000 Z | |
REMOVE_DATE
|
String | 2023-07-23 09:44:34.000 Z | |
DURATION_DAYS
|
Integer | 5 | |
SOC6D
|
String | 31-9097 | |
SOC6D_TITLE
|
String | Phlebotomists | |
COMPANY_SIZE
|
String | 10000_PLUS | |
REVENUES
|
String | 5B_10B | |
COMPANY_URL_LINK
|
String | http:wwwquestdiagnosticscom | |
ESTIMATED_SALARY
|
String | Estimated $32.8K - $41.6K a year | |
SALARY
|
Integer | 37200 | |
OTHER_SALARY
|
String | Additional pay information will be provided upon executio... | |
TAGS
|
String | 1 Year, 10 Years, ASE Certifed, Accurate, Administer, Ann... | |
FULL_TEXT
|
String | overview phlebotomist irmo sc monday friday am ... |
Attribute | Type | Example | Mapping |
---|---|---|---|
Integer | 8009346234 | Job ID | |
String | Application Developer | Job Title | |
String | "Responsible for developing software solutions..." | Job Description | |
String | Amazon Robotics | Company Name | |
company_ref
|
String | Amazon | |
Integer | 541511 | Company NAICS Code | |
Integer | 7371 | Company SIC Code | |
String | New York-Newark-Jersey City, NY-NJ-PA | Location Name | |
String | Chicago | City Name | |
String | Illinois | State Abbreviation | |
String | 60018 | ZIP Code | |
post_date
|
Timestamp | 2024-05-26T16:00:00Z | |
remove_date
|
Timestamp | 2024-06-26T16:00:00Z | |
duration_days
|
Integer | 15 | |
String | AMZN | Stock Ticker | |
Integer | 115000 | Job Compensation |
Description
Country Coverage
Volume
5.9 million | Hiring Organizations |
2.45 million | New Jobs Per Month |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries?
Access comprehensive job postings data with WageScape’s global dataset, delivering real-time insights to optimize recruitment and inform global trade data trends. By leveraging recruiting, salary, and skill taxonomy data, businesses gain key insights into workforce dynamics and global market impact.
What is WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries used for?
This product has 5 key use cases. WageScape recommends using the data for Salary Benchmarking, Job Pricing, Job Market Pricing, HR Analytics, and Market Analysis. Global businesses and organizations buy Job Postings Data from WageScape to fuel their analytics and enrichment.
Who can use WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries?
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 WageScape to see what their data can do for your business and find out which integrations they provide.
Which countries does WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries cover?
This product includes data covering 62 countries like USA, China, Japan, Germany, and India. WageScape is headquartered in United States of America.
How much does WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries cost?
Pricing information for WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries is available by getting in contact with WageScape. Connect with WageScape to get a quote and arrange custom pricing models based on your data requirements.
How can I get WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries?
Businesses can buy Job Postings Data from WageScape and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, WageScape can deliver this product in .json and .csv format.
What is the data quality of WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries?
You can compare and assess the data quality of WageScape using Datarade’s data marketplace.
What are similar products to WageScape Global Job Postings Data Salary Data for 16 Countries Over 15.6M Hiring Organizations 6M New Jobs Monthly across All Industries?
This product has 3 related products. These alternatives include WageScape Enriched US Job Postings Data Basic Salary Data 4.4M New Jobs Monthly Over 6M Hiring Organizations, Job Postings Data and Salary Data from Google for Jobs, LinkedIn, Indeed, Glassdoor, and more Real-Time API, and Canaria Salary Data US 25M+ Monthly Job Postings & 2 Year Historical AI-LLM Enhanced Salary Data. 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.