Job Postings Dataset for Labour Market Research and Insights
Oxylabs
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Verified Data Provider
Verified Data Provider| # | _meta.creationDate |
_meta.creationtimestamp |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.company_size |
doc.country |
doc.description |
doc.employee_count |
doc.facebook |
doc.founded |
doc.headquarters |
doc.id |
doc.industry |
doc.interview_difficulty |
doc.interview_difficulty_count |
doc.interview_duration |
doc.interview_duration_count |
doc.interview_experience |
doc.interview_experience_count |
doc.links |
doc.location |
doc.logo |
doc.name |
doc.open_job_count |
doc.people_also_viewed |
doc.rating |
doc.revenue |
doc.review_compensation_benefit |
doc.review_count |
doc.review_culture |
doc.review_job_security_advancement |
doc.review_management |
doc.review_worklife_balance |
doc.source_id |
doc.twitter |
doc.url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
| 2 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
| 3 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 4 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
| 5 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
| 6 | 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 | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
| 7 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx |
| 8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx |
| 9 | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx |
| 10 | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx |
| ... | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx |
| # | _meta.creationDate |
_meta.creationtimestamp |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.apply_url |
doc.company_image_url |
doc.company_name |
doc.company_stack_url |
doc.company_website |
doc.created_at_timestamp |
doc.id |
doc.location |
doc.remote |
doc.slug |
doc.title |
doc.tools |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
| 3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
| 4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
| 6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
| 7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
| 8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
| 9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
| 10 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
| ... | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx |
Avail. Formats
.json, .xml, and .csv
File
Coverage
249
Countries
Data Dictionary
[Sample] Indeed_companies_sample.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
_meta.creationDate
|
String | [2021, 4, 8] | |
|
_meta.creationtimestamp
|
Float | 1617862990.576721 | |
|
_meta.entity
|
String | company | |
|
_meta.origin
|
String | indeed | |
|
_meta.lastupdatedate
|
String | [2023, 7, 10] | |
|
_meta.lastupdatetimestamp
|
Float | 1688994338.278959 | |
|
_meta.versionid
|
String | 062277a8 | |
|
doc.company_size
|
String | ||
|
doc.country
|
String | www | |
|
doc.description
|
|||
|
doc.employee_count
|
|||
|
doc.facebook
|
String | ||
|
doc.founded
|
|||
|
doc.headquarters
|
|||
|
doc.id
|
String | indeed_company_Healthworks | |
|
doc.industry
|
String | Insurance Agencies & Brokerages | |
|
doc.interview_difficulty
|
String | MEDIUM | |
|
doc.interview_difficulty_count
|
Integer | 14 | |
|
doc.interview_duration
|
String | About a day or two | |
|
doc.interview_duration_count
|
Integer | 11 | |
|
doc.interview_experience
|
String | FAVORABLE | |
|
doc.interview_experience_count
|
Integer | 12 | |
|
doc.links
|
String | [] | |
|
doc.location
|
String | ||
|
doc.logo
|
String | https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/96x96... | |
|
doc.name
|
String | Healthworks | |
|
doc.open_job_count
|
Integer | 18 | |
|
doc.people_also_viewed
|
String | [{https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/64x... | |
|
doc.rating
|
Float | 3.7 | |
|
doc.revenue
|
String | ||
|
doc.review_compensation_benefit
|
Float | 3.1 | |
|
doc.review_count
|
Integer | 31 | |
|
doc.review_culture
|
Float | 3.5 | |
|
doc.review_job_security_advancement
|
Float | 2.9 | |
|
doc.review_management
|
Float | 3.3 | |
|
doc.review_worklife_balance
|
Float | 3.5 | |
|
doc.source_id
|
String | Healthworks | |
|
doc.twitter
|
String | ||
|
doc.url
|
String | https://www.indeed.com/cmp/Healthworks |
[Sample] Stackshare_jobs_sample.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
_meta.creationDate
|
String | [2022, 4, 17] | |
|
_meta.creationtimestamp
|
Float | 1650155584.900456 | |
|
_meta.entity
|
String | jobs | |
|
_meta.origin
|
String | stackshare | |
|
_meta.lastupdatedate
|
String | [2022, 4, 19] | |
|
_meta.lastupdatetimestamp
|
Float | 1650357167.764727 | |
|
_meta.versionid
|
String | fcc9aa5e | |
|
doc.apply_url
|
String | https://www.mongodb.com/careers/job/?gh_jid=4136306 | |
|
doc.company_image_url
|
String | https://img.stackshare.io/company/938/default_61b7312ff23... | |
|
doc.company_name
|
String | MongoDB | |
|
doc.company_stack_url
|
String | https://stackshare.io/companies/mongodb | |
|
doc.company_website
|
String | http://www.mongodb.com/ | |
|
doc.created_at_timestamp
|
Integer | 1650009751 | |
|
doc.id
|
Integer | 1770110 | |
|
doc.location
|
String | Madrid, Barcelona or Spain | |
|
doc.remote
|
Boolean | t | |
|
doc.slug
|
String | mongodb-software-engineer-sales-engineering-engineering-c... | |
|
doc.title
|
String | Software Engineer - Sales Engineering, Engineering Corps | |
|
doc.tools
|
String | [] |
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Job Title
|
|||
|
Company
|
|||
|
Seniority
|
|||
|
Industry
|
|||
|
Location
|
|||
|
Salary
|
|||
|
Employment type
|
Description
Job Posting Datasets for labor market insights: enhance your recruitment strategies; predict future labor industry trends; discover investment opportunities.
Introducing Job Posting Datasets: Uncover labor market insights!
Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.
Job Posting Datasets Source:
1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.
2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.
3. StackShare: Access StackShare datasets to make data-driven technology decisions.
Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.
Choose your preferred dataset delivery options for convenience:
Receive datasets in various formats, including CSV, JSON, and more.
Opt for storage solutions such as AWS S3, Google Cloud Storage, and more.
Customize data delivery frequencies, whether one-time or per your agreed schedule.
Why Choose Oxylabs Job Posting Datasets:
1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.
2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.
3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.
4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.
Pricing Options:
Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.
Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.
Experience a seamless journey with Oxylabs:
- Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
- Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
- Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
- Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.
Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.
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
(51)
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
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.)
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Delivery
Methods
S3 Bucket
SFTP
Email
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
on-demand
Format
.json
.xml
.csv
.xls
Use Cases
Human Resources (HR)
HR Intelligence
Investment Opportunities
Labor Industry Trends
Recruitment Strategies
Categories
Related Searches
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Frequently asked questions
What is Job Postings Dataset for Labour Market Research and Insights?
Job Posting Datasets for labor market insights: enhance your recruitment strategies; predict future labor industry trends; discover investment opportunities.
What is Job Postings Dataset for Labour Market Research and Insights used for?
This product has 5 key use cases. Oxylabs recommends using the data for Human Resources (HR), HR Intelligence, Investment Opportunities, Labor Industry Trends, and Recruitment Strategies. Global businesses and organizations buy Job Postings Data from Oxylabs to fuel their analytics and enrichment.
Who can use Job Postings Dataset for Labour Market Research and Insights?
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 Oxylabs to see what their data can do for your business and find out which integrations they provide.
Which countries does Job Postings Dataset for Labour Market Research and Insights cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Oxylabs is headquartered in Lithuania.
How much does Job Postings Dataset for Labour Market Research and Insights cost?
Pricing information for Job Postings Dataset for Labour Market Research and Insights is available by getting in contact with Oxylabs. Connect with Oxylabs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Job Postings Dataset for Labour Market Research and Insights?
Businesses can buy Job Postings Data from Oxylabs and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Oxylabs can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Job Postings Dataset for Labour Market Research and Insights?
You can compare and assess the data quality of Oxylabs using Datarade’s data marketplace. Oxylabs appears on selected Datarade top lists ranking the best data providers, including Best 6 SERP Tracking APIs for Accurate Monitoring, Top 10 Hotel APIs: Real-Time Travel Insights, and Best 8 APIs for SEO Optimization.
What are similar products to Job Postings Dataset for Labour Market Research and Insights?
This product has 3 related products. These alternatives include Forager.ai - Global Job Postings Data Set 732M Records 21M Updates/Month Delivery Hourly via CSV/JSON/PostgreSQL Human Resources (HR) Data, OpenWeb Ninja Job Postings Data, Salary Data Google for Jobs - LinkedIn, Indeed, Glassdoor, ZipRecruiter + All Job Sites Global Real-Time API, and MixRank Job Postings Data Global Job Postings 1B+ Records 45M Updates/Month Hourly Delivery. 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.
