Global Data Explorer Pricing
Only pay for the data you need, it’s that simple.
Create custom searches and export based on your needs
Global Data Explorer
WageScape Global Data Explorer enables users to search the full dataset with specific field parameters. Searches can be saved and scheduled based on business needs. The subscription plans are consumption based so you only pay for the data you need. Now you can find and download the data you need for your use in your own applications and reports.
All data is real-time, transparent and is updated daily, giving your team access to real-time insights. Since data is obtained from public-facing sources, it is fully transparent with no masking or aggregation.
Build your own labor market intelligence where the data can easily be plugged into your web applications. With billions of data points at your fingertips, it’s easy to get exactly the data you need, when you need it.
Global Data Explorer PREVIEW Period
Available Now – July through August 2024
Limited Enrollment – Apply Now to Enroll
60-day PREVIEW period
$79 Unlimited Downloads
30% off discount after PREVIEW ends
The Fine Print:
- U.S. job advertisement data only
- Download limit to 1000 records per download
- Download Manager functionality and keyword filter not included
- Discount for Preview Period users applies to annual license
| 1,000 Credits | 5,000 Credits | 25,000 Credits | |
| Search Parameters | |||
| Post Date |  |
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| Job Type (Part Time/Full Time) | |
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| Job Title | |
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| Company | |
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| Stock Ticker | |
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| Country | |
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| Location (State, City, Zip) | |
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| NAICS Code | |
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| SIC Code | |
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| Industry | |
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| Job Family | |
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| Job Sub Family | |
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| Published Salary (min/max) | |
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| Keyword Search | |
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| Additional Data Extract Attributes | |||
| Job Description | |
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| Job URL | |
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| Apply Now URL | |
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| Removed Date | |
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| Education Requirement | |
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| Experience (Entry, Intermediate, Senior) |
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| Experience (Min/Max number of years) |
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| Posted Salary (High,Low, Mid, Confidence Level) |
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| Job Board Salary Estimate (High,Low, Mid, Confidence Level) |
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| Modeled Salary (High,Low, Mid, Confidence Level) |
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| Discovered Salary (High,Low, Mid, Confidence Level) |
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