PredictLeads: Web Data | Web Scraping data | Job Postings Data | Global Coverage |API & Flat File | Source: Company Website | 166+ Million 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
| 174 | Million Job Openings detected |
| 7 | Million Active Job Openings |
| 1.6 million | Websites |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million Records go?
This Web Scraping 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: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million Records cost?
Pricing information for PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million 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 PredictLeads: Web Data Web Scraping data Job Postings Data Global Coverage API & Flat File Source: Company Website 166+ Million Records?
This Web Scraping has 3 related products. These alternatives include PredictLeads: Web Data Web Scraping data Technographic Data APIs & Flat File Source: Job Openings, HTML and JavaScripts 636+ Million Records, TagX Web Scraping Data Web data extraction Scrape Ecommerce websites Data from all popular domains Global web data 100% compliant, and CrawlBee Web Scraping Data Web Data Extraction Web Data Web Activity 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.
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