PredictLeads: B2B Data | Job Postings Data | API & Flat File | Global Coverage | Sourced From Company Websites | 166+ Million Records | Since 2018
| # | 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
| 166 | Million Job Openings detected |
| 7 | Million Active Job Openings |
| 1.5 million | Million Websites |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is PredictLeads: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018?
Harness PredictLeads Job Postings Data to boost B2B sales, trusted by Fortune 500 companies and startups alike. Our data, extracted directly from company websites, ensures superior accuracy and strategic growth.
What is PredictLeads: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018 used for?
This product has 5 key use cases. PredictLeads recommends using the data for Cold Outreach, B2B Data Enrichment, Account Scoring, B2B Sales, and Company Data Enrichment. Global businesses and organizations buy B2B Leads Data from PredictLeads to fuel their analytics and enrichment.
Who can use PredictLeads: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads 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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018 go?
This Data Enrichment 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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018 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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018 cost?
Pricing information for PredictLeads: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018 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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018?
Businesses can buy B2B Leads 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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018?
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: B2B Data Job Postings Data API & Flat File Global Coverage Sourced From Company Websites 166+ Million Records Since 2018?
This Data Enrichment has 3 related products. These alternatives include PredictLeads: B2B Data Technographic Data API & Flat File Global Coverage Sourced from HTML, Java scripts and Jobs 636+ Million Records, Xverum Job Listing Datasets - Global - Monitored daily - Biggest B2B Network, and Plugindata Food Importers, Distributors, Wholesalers Company Data & Contact Data (4M+ businesses, 150+ countries) Food Data. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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