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

1.8M

Websites

Data Quality

99%

Accuracy

Avail. Format

.json

File

Coverage

250

Countries

History

years

[Sample] PredictLeads_JobOpenings_Data_Sample.csv

Attribute	Type	Example
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

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

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.)

7 years of historical data

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

Free sample available

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Self-reported by the provider

99%

Accuracy

Methods

Frequency

Format

Cold Outreach B2B Data Enrichment Account Scoring B2B Sales Company Data Enrichment

B2B Leads Data B2B Intent Data Job Postings Data Company Data Prospect Data

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249 countries covered

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71.1M company records

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5 years of historical data

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

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.

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

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

PredictLeads
Your Source of Company Intelligence Data

Trusted by

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

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

PredictLeads Your Source of Company Intelligence Data

Trusted by

PredictLeads
Your Source of Company Intelligence Data