Global B2B Data | Job Postings Data | Sourced From Company Websites Since 2018 | 206M+ Records product image in hero

Global B2B Data | Job Postings Data | Sourced From Company Websites Since 2018 | 206M+ Records

PredictLeads
5.0(1)Badge iconVerified Data Provider
#
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
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Sign In To Preview Data
Volume
1.8M
Websites
Data Quality
99%
Accuracy
Avail. Format
.json
File
Coverage
250
Countries
History
7
years

Data Dictionary

[Sample] PredictLeads_JobOpenings_Data_Sample.csv
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

Access 206M+ job postings from 1.8M+ company websites to power B2B sales, market research, and workforce analytics. Track hiring trends, salary insights, and required skills to identify high-growth companies and enrich CRM data.
PredictLeads Job Openings Data provides high-quality hiring insights sourced directly from company websites - not job boards. By leveraging advanced web scraping technology, this dataset delivers access to job market trends, salary insights, and in-demand skills. A valuable resource for B2B sales, recruiting, investment analysis, and competitive intelligence, this data helps businesses stay ahead in a dynamic job market. Key Features: ✅ 206M+ Job Postings Tracked – Data sourced from 1.8M+ company websites worldwide. ✅ 7M+ Active Job Openings – Continuously updated to reflect real hiring demand. ✅ Salary & Compensation Insights – Extract salary ranges, contract types, and job seniority levels. ✅ Technology & Skill Tracking – Identify emerging tech trends and industry demands. ✅ Company Data Enrichment – Link job postings to employer domains, firmographics, and growth signals. ✅ Web Scraping Precision – Directly sourced from employer websites for unmatched accuracy. Primary Attributes in the Dataset: General Information: - id (UUID) – Unique identifier for the job posting. - type (constant: "job_opening") – Object type. - title (string) – Job title. - description (string) – Full job description extracted from the job listing. - url (URL) – Direct link to the job posting. - first_seen_at (ISO 8601 date-time) – When the job was first detected. - last_seen_at (ISO 8601 date-time) – When the job was last observed. - last_processed_at (ISO 8601 date-time) – When the job data was last updated. Job Metadata: - contract_types (array of strings) – Employment type (full-time, part-time, contract). - categories (array of strings) – Job industry categories (engineering, marketing, finance). - seniority (string) – Seniority level (manager, non_manager). - status (string) – Job status (open, closed). - language (string) – Language of the job posting. Location Data: - location (string) – Full location details from the job description. - location_data (array of objects) – Structured location details: -- city (string, nullable) – City where the job is located. -- state (string, nullable) – State or region. -- zip_code (string, nullable) – Postal/ZIP code. -- country (string, nullable) – Country. -- region (string, nullable) – Broader geographical region. -- continent (string, nullable) – Continent name. -- fuzzy_match (boolean) – Indicates if the location was inferred. Salary Data: - salary (string) – Salary range extracted from the job listing. - salary_low (float, nullable) – Minimum salary in original currency. - salary_high (float, nullable) – Maximum salary in original currency. - salary_currency (string, nullable) – Salary currency (USD, EUR, GBP). - salary_low_usd (float, nullable) – Minimum salary converted to USD. - salary_high_usd (float, nullable) – Maximum salary converted to USD. - salary_time_unit (string, nullable) – Time unit (year, month, hour). Occupational Data (ONET): - code (string, nullable) – ONET occupation code. - family (string, nullable) – Broad occupational family (Computer and Mathematical). - occupation_name (string, nullable) – Official ONET occupation title. Additional Attributes: - tags (array of strings, nullable) – Extracted skills and keywords (Python, JavaScript, AI). 📌 Trusted by enterprises, recruiters, and investors for high-precision job market insights. Response Example: https://docs.predictleads.com/v3/api_endpoints/job_openings_dataset/retrieve_company_s_job_openings

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

7 years of historical data

Volume

206 Million Job Openings detected
7 Million Active Job Openings
1.8 million Websites

Pricing

Free sample available
PredictLeads has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
99%
Accuracy

Delivery

Methods
S3 Bucket
SFTP
REST API
Feed API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json

Use Cases

Categories

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Frequently asked questions

What is Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records?

Access 206M+ job postings from 1.8M+ company websites to power B2B sales, market research, and workforce analytics. Track hiring trends, salary insights, and required skills to identify high-growth companies and enrich CRM data.

What is Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records 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 Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records?

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 Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records go?

This product has 7 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 B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. PredictLeads is headquartered in United States of America.

How much does Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records cost?

Pricing information for Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ 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 B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records?

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 Global B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ 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 B2B Data Job Postings Data Sourced From Company Websites Since 2018 206M+ Records?

This product has 3 related products. These alternatives include B2B Company Data 50M+ Verified Business Profiles, Firmographic Insights & 30-Day Updates, News Data Real-Time Insights & News Events Data Sales Enablement Email Personalization 7.9M+ Records Since 2016, and B2B Company Data Worldwide 61M Records Verified & Updated Bi-Weekly. 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.

Pricing available upon request

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