Global Web Data | Web Scraping Data | Job Postings Data | Source: Company Website | 192M+ Records
| # | 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
| 192 | Million Job Openings detected |
| 7 | + Million Active Job Openings |
| 1.7 million | Websites |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records?
Utilize PredictLeads Job Openings Data for advanced B2B insights, leveraging direct web scraping techniques to provide fresh, accurate Job Postings Data, Salary Data, and Business Website Data for strategic business analysis.
What is Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records used for?
This product has 5 key use cases. PredictLeads recommends using the data for 360-Degree Customer View, Account Profiling, Company Analysis, Analytics, and B2B Data Cleansing. Global businesses and organizations buy Job Postings Data from PredictLeads to fuel their analytics and enrichment.
Who can use Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records?
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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records 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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records 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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records cost?
Pricing information for Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records 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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records?
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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records?
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 Global Web Data Web Scraping Data Job Postings Data Source: Company Website 192M+ Records?
This product has 3 related products. These alternatives include Web Data Web Scraping Data Technographic Data Source: Job Openings, HTML and JavaScripts 716M+ Records, Coresignal Web Scraping Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily, and Job Postings Data - Glassdoor, Indeed, LinkedIn and 50+ Job Boards Globally. 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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