PredictLeads: HR Data | Recruiting Data | Employee Data | Global Coverage | Sourced From Company Websites | 182+ Million Records | Recruiting Data
| # | Website Domain |
Ticker |
Job Opening Title |
Job Opening URL |
First Seen At |
Last Seen At |
Location |
Location Data |
Category |
Seniority |
Keywords |
Description |
Salary |
Salary Data |
Contract Types |
Job Status |
Job Language |
Job Last Processed At |
O*NET Code |
O*NET Family |
O*NET Occupation Name |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
| 8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
| 10 | xxxxx | Xxxxxx | xxxxxx | 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 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Website Domain
|
String | 3m.com | |
|
Ticker
|
String | NYSE:MMM | |
|
Job Opening Title
|
String | Ingeniero de Procesos Jr. | |
|
Job Opening URL
|
String | https://3m.wd1.myworkdayjobs.com/en-US/Search/job/MX-San-... | |
|
First Seen At
|
DateTime | 2024-04-22T01:48:48+00:00 | |
|
Last Seen At
|
DateTime | 2024-04-24T03:17:44+00:00 | |
|
Location
|
String | San Luis Potosí, Mexico | |
|
Location Data
|
String | [{"city":"San Luis Potosí","state":null,"zip_code":null,"... | |
|
Category
|
String | engineering | |
|
Seniority
|
String | non_manager | |
|
Keywords
|
String | SAP | |
|
Description
|
String | **Ingeniero de Procesos Jr.** remote type On-site locat... | |
|
Salary
|
|||
|
Salary Data
|
String | {"salary_low":null,"salary_high":null,"salary_currency":n... | |
|
Contract Types
|
|||
|
Job Status
|
String | closed | |
|
Job Language
|
String | es | |
|
Job Last Processed At
|
DateTime | 2024-04-26T02:04:46+00:00 | |
|
O*NET Code
|
String | 17-2199.00 | |
|
O*NET Family
|
String | Architecture and Engineering | |
|
O*NET Occupation Name
|
String | Engineers, All Other |
Description
Country Coverage
History
Volume
| 182 | Million Job Openings detected |
| 7 | Million Active Job Openings |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
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Frequently asked questions
What is PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data?
Enhance HR and recruitment strategies with PredictLeads Job Openings Data, offering fresh, directly sourced insights from company websites, ideal for Job Boards, HR Consulting, and HR Analytics.
What is PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data used for?
This product has 5 key use cases. PredictLeads recommends using the data for HR Consulting, Employment Analytics, Human Resources (HR), HR Analytics, and Job Board. Global businesses and organizations buy Job Postings Data from PredictLeads to fuel their analytics and enrichment.
Who can use PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data?
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 PredictLeads to see what their data can do for your business and find out which integrations they provide.
How far back does the data in PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data go?
This product has 6 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. PredictLeads is headquartered in United States of America.
How much does PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data cost?
Pricing information for PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data is available by getting in contact with PredictLeads. Connect with PredictLeads to get a quote and arrange custom pricing models based on your data requirements.
How can I get PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data?
Businesses can buy Job Postings Data from PredictLeads and get the data via S3 Bucket, SFTP, REST API, and Feed API. Depending on your data requirements and subscription budget, PredictLeads can deliver this product in .json format.
What is the data quality of PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data?
PredictLeads has reported that this product has the following quality and accuracy assurances: 99% Accuracy. You can compare and assess the data quality of PredictLeads using Datarade’s data marketplace. PredictLeads has received 1 review from clients.
What are similar products to PredictLeads: HR Data Recruiting Data Employee Data Global Coverage Sourced From Company Websites 182+ Million Records Recruiting Data?
This product 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, PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 182+ Million Records, and OpenWeb Ninja Job Postings Data, Salary Data Google for Jobs - LinkedIn, Indeed, Glassdoor, ZipRecruiter + All Job Sites Global Real-Time API. 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.
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