TagX | 100000+ Job Postings data | Job listings data | Human Resource (HR) data | Linkedin, Indeed , Monster, Glassdoor | Global
# | JD |
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Other Information |
Salary |
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6 | 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 |
7 | xxxxxx | Xxxxxxxx | xxxxxxxxxx | 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 |
8 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx |
9 | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx |
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... | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
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JD
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String | Full Job Description Overview: Position: Adult Protective... | |
Entity 1
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String | An APS Investigator will independently investigate report... | |
Entity 2
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String | Your success will be measured by your ability to gather e... | |
Entity 3
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String | Conduct virtual interviews with alleged victims, alleged ... | |
Entity 4
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String | Collect and evaluate information to make decisions relate... | |
Entity 5
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String | Document all pertinent activity for each investigation an... | |
Entity 6
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String | Collaborate with law enforcement, judicial entities, fami... | |
Entity 7
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String | Identify and refer at-risk and vulnerable adults to appro... | |
Entity 8
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String | Provide client advocacy, consultation, networking, family... | |
Entity 9
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String | Prepare and provide testimony at administrative hearings,... | |
Entity 10
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String | Represent PCG and the client in a professional manner. | |
Entity 11
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String | Attend all trainings and collaborate with the State of Wa... | |
Entity 12
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String | Review and respond to quality assurance evaluations. | |
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String | Attend individual and team meetings to include supervisio... | |
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String | Assists other supervisors and managers in duty assignment... | |
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String | Adult Protective Services | Job Title | |
Other Information
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String | Qualifications: Required Skills: Proficiency with Micro... | |
Salary
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String | $43.2K - $54.7K a year | |
Benefits
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Attribute | Type | Example | Mapping |
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String | "What you will get to do: Assist with the fabrication, in... | Company Description |
Description
Country Coverage
History
Volume
1 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$1$0.90 / purchase |
Monthly License |
$1$0.90 / month |
Yearly License |
$1$0.90 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global?
Job Descriptions dataset scraped from more than 60+ countries. Analyze demand, forecast demand, train machine learning algorithms and gain insights about company hiring activities.
What is TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global used for?
This product has 5 key use cases. TagX recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Job Pricing, Job Market Pricing, and Job Income Analysis. Global businesses and organizations buy Job Postings Data from TagX to fuel their analytics and enrichment.
Who can use TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global?
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 TagX to see what their data can do for your business and find out which integrations they provide.
How far back does the data in TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global go?
This product has 5 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global cover?
This product includes data covering 240 countries like USA, China, Japan, Germany, and India. TagX is headquartered in United Arab Emirates.
How much does TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global cost?
Pricing for TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global starts at USD1 per purchase. TagX offers a 10% discount when you buy data from them through Datarade. Connect with TagX to get a quote and arrange custom pricing models based on your data requirements.
How can I get TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global?
Businesses can buy Job Postings Data from TagX and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, TagX can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global?
TagX has reported that this product has the following quality and accuracy assurances: 100% Full descriptions, 100% Custom Annotations. You can compare and assess the data quality of TagX using Datarade’s data marketplace. TagX has received 1 review from clients. TagX appears on selected Datarade top lists ranking the best data providers, including Best 6 Twitter Data Scrapers to Utilize in 2023, Best +8 Web Scraping APIs to use in 2023, and Best 5 Facebook Data Scrapers to Utilize in 2023.
What are similar products to TagX 100000+ Job Postings data Job listings data Human Resource (HR) data Linkedin, Indeed , Monster, Glassdoor Global?
This product has 3 related products. These alternatives include OpenWeb Ninja Job Postings Data, Salary Data Google for Jobs - LinkedIn, Indeed, Glassdoor, ZipRecruiter + All Job Sites Global Real-Time API, Coresignal Job Postings Data Largest Professional Network + Indeed Jobs + 3 Other Sources Global / 437M+ Records / Updated Monthly, 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.