🧠 data_jobs Dataset

A dataset of real-world data analytics job postings from 2023, collected and processed by Luke Barousse.

  Background

I've been collecting data on data job postings since 2022. I've been using a bot to scrape the data from Google, which come from a variety of sources. You can find the full dataset at my app datanerd.tech.

Serpapi has kindly supported my work by providing me access to their API. Tell them I sent you and get 20% off paid plans.… See the full description on the dataset page: https://huggingface.co/datasets/lukebarousse/data_jobs.

The Job Corps Program Data Set is collected and maintained by the Job Corps Data Center on all Job Corps centers, program participants, services, outcomes, costs, and other administrative information. ETA's Office of Job Corps creates various reports in aggregate from this data set that are publicly available on the www.jobcorps.gov website.

[Data Emploi] liste des Activités s'appuyant sur différents référentiels

Il n'y a pas de description pour ce jeu de données.

LinkUp Raw contains the most complete set of LinkUp’s job market data, dating back to 2007. The dataset includes full job postings sourced directly from employer websites as well as statistics and analysis of the job postings. Delivered daily, LinkUp Raw consists of 4 distinct components: individual job records, individual descriptions, core aggregates, and company reference data.

The dataset includes over 20 unique job and company level attributes and identifiers, such as, job title, full job description, job URL, company name, location, occupation code, sector code, ticker, reference data, and more.

Use Cases for Job Market Data:

-Rely on a unique, timely, and accurate job listings dataset sourced directly from employer websites globally. LinkUp collects, refines, and distributes data to deliver insightful, predictive, and actionable job market information.

-Perform deeper analysis with extensive global coverage, irreplaceable history, and over 20 unique job and company level attributes and identifiers.

-Enhance Alpha. Create models and signals to assess and predict job growth at the macro, sector, geographic, and individual company level

City of LA job applicants by the job they applied for and demographic information. We are currently undergoing a data inventory to improve usability on the site. We're aware that this dataset is out of date but wanted to err on the side of making incomplete data available. Thank you for your patience, please contact the dataset owner or mayor.opendata@lacity.org with questions or ideas.

The Job listings dataset gives access key details about job opportunities, including job titles, company names, locations, and employment specifics. With direct application links and insights into application numbers, this dataset streamlines job searching and market trend analysis.Tailored for job seekers, recruiters, and market analysts, this dataset supports efficient decision-making in the competitive job market. Whether you're tracking hiring trends, optimizing recruitment strategies, or searching for your next career opportunity, the job listings information dataset is an invaluable tool for navigating the job landscape. Available job datasets

Indeed job listings information Glassdoor job listings information LinkedIn job listings information LinkedIn profiles job listings information

Les données détaillées sous-jacentes aux chiffres-clés mensuels de l'ADEM. Ce jeu de données fournit des informations sur les demandeurs d'emploi inscrits à l'Agence pour le développement de l'emploi (ADEM) et sur les postes vacants que les employeurs déclarent à l'ADEM. Les profils détaillés des demandeurs d'emploi résidents disponibles Ouvertures et clôtures de dossiers de demandeurs d'emploi Les bénéficiaires des mesures pour l'emploi Les demandeurs d'emploi non-résidents Les demandeurs d'emploi indemnisés Les séries longues sur les postes déclarés chaque mois et les postes vacants à la fin de chaque mois, à partir de juin 2006. Les séries détaillées sur les postes déclarés chaque mois et les postes vacants à la fin de chaque mois, à partir de janvier 2014. Les demandeurs d'emploi résidents disponibles par classe d'âge détaillée Les demandeurs d'emploi par métier (ROME) Les demandeurs d'emploi résidents disponibles par nationalité Le lieu de résidence des demandeurs d'emploi résidents disponibles Les demandeurs d'emploi résidents disponibles âgés de moins de 30 ans

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.

Séries corrigées des variations saisonnières et des jours ouvrables de l'enquête Sortants

This dataset contains data on the skill requirements identified in each job vacancy that was transferred to ADEM’s database between 2015 and now. Employers in Luxembourg are legally obliged to transfer their open job vacancies to ADEM. Each row of the dataset corresponds to a vacancy-skill combination: for example, if vacancy_id=”123” and skill=”work in teams”, this means that our algorithm identified the skill of working in teams in the description of vacancy “123”. If the column skill is empty for a given vacancy, this means that no skill requirement could be identified for that vacancy. Skills are identified through an algorithm that automatically reads the job vacancy description and classifies the skill requirements identified based on fuzzy text matching, given a set of keywords corresponding to each skill potentially required. Identified skills are structured according to the ESCO framework, based on the metadata made available (see https://esco.ec.europa.eu/en/classification/skill_main). Most other variables (number of advertised job positions, canton of work location, occupational code) are based on information declared by the employers transferring the vacancy to ADEM; the month and year refer to the time of publication. The algorithm for skill identification is currently still under development, and a more detailed methodological guide will be published when the methodology will become more stable. Variables Vacancy_id: Dataset-specific Id of the vacancy Skill: ESCO preferred label for the skill (see https://esco.ec.europa.eu/en/classification/skill_main) Skill_uri: ESCO id for the skill (see https://esco.ec.europa.eu/en/classification/skill_main) Positions: open positions advertised in the vacancy (e.g. if a company opens a vacancy to recruit 7 accountants, then positions = 7) Month: month of publication of the vacancy Year: year of publication of the vacancy Canton: Canton in which the advertised job would be located Occupation_code: ROME occupational code that best fits the vacancy (see https://rome.adem.etat.lu/index_base.html and https://www.francetravail.fr/employeur/vos-recrutements/le-rome-et-les-fiches-metiers.html) Occupation_label: ROME occupational code label for the vacancy (see https://rome.adem.etat.lu/index_base.html and https://www.francetravail.fr/employeur/vos-recrutements/le-rome-et-les-fiches-metiers.html)

Use our Indeed job listings dataset, an employment website for job listings, to find and extract job market trends, insights, and information on companies. You can easily detect your competitor’s strategic moves regarding growth, the number of job postings, or significant talent loss. Popular use cases: competitive analysis, monitoring recruiting activities in key industries, identifying demand for various skills, technology adoption, and more. The Indeed dataset includes all major data points: Position, Company, Description, Location, Salary, Publish date, Company rating, and more.

Ce jeu de données inclut la ressource suivante : Emploi et chômage par canton et commune Synchronisé automatiquement depuis la base de données LUSTAT

The U.S. Bureau of Economic Analysis’ Total Full-Time and Part-Time Employment data provides one of the most comprehensive, publicly available accountings of average annual employment. Beyond full- and part-time employment types, it includes farm employment and other sectors that aren’t always included in other sources, such as Public Administration (with more detail of federal than state and local employment in this category). It also includes and distinguishes both Wage and Salary employees from Proprietors who own their own unincorporated businesses and handle taxation chiefly as personal income. Proprietors tend to be single-person or small businesses and can include construction or repair workers, babysitters, ride-share drivers, artists, local grocers, housekeepers, various freelancers and consultants, and some attorneys and doctors.

Data These data relate to jobseekers registered on average during the quarter at Pôle emploi in categories A, B, C by sex, by age group and by municipality (based on the Official Geographic Code, as of 1 January 2022), for the 4th quarters over a rolling 10-year period. They are raw and rounded to a multiple of 5. There may therefore be slight differences between the sum of the disaggregated data and the aggregated series. Annual developments should be taken with caution: on small municipalities, the effect of rounding can be significant and the annual evolution is then very impacted. For example, a municipality that sees an increase in the number of jobseekers from 17 to 18 (an increase of 6 %) will have staff numbers rounded up to 15 and 20, i.e. an increase of 33 %. The ages used for the different series are the ages at the end of the month (age that the job seeker will have at the end of the month in question). For each of the communes, the region and the department to which they belong are specified. ### Definition Full documentation on data on registered jobseekers and vacancies collected by France Travail can be found on the Dares website (see document Methodological documentation - Jobseekers). Information on the Official Geographic Code is available on the INSEE website. ### Field * the geographical grouping ‘**** Metropolitan France’ includes all the French territories on the European continent (96 departments); * The geographical grouping ‘France’ includes metropolitan France and the overseas departments/regions (DROM), with the exception of Mayotte. ### Source The data are taken from the files of the Monthly Labour Market Statistics (STMT) of Dares and France Travail. ### Warnings In addition to labour market developments, data on jobseekers can be affected by a number of factors: changes to the rules on compensation or support for jobseekers, procedural changes, incidents. A document presents the main procedural changes and incidents affecting the statistics of jobseekers since 2011. The municipalities of Sannerville (14666) and Troarn (14712) were merged into the new municipality of Saline (14712) from 2017 to 2019, and were then re-established on 1 January 2020. The information for these two municipalities over this period should therefore be considered with caution.

The jobactive Job Placements table provides data on jobactive job placements. The table includes provider information, vacancy details, job seeker characteristics at the time of the job placement and job placement to outcome conversion denominators and numerators. The lowest data grain in the dataset is JOB_PLACEMENT_ID, a unique code generated each time a job seeker is referred to a vacancy. The dataset was extracted on 5 August 2018, however is based on job placements confirmed between 1 July 2016 and 30 June 2017.
Please note that the time period of the dataset has been restricted to mitigate any potential sensitivity risks and this may limit certain analyses.

Job Offers in the United States increased to 7769 Thousand in May from 7395 Thousand in April of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset contains all job applications submitted through the Borough Offices, through eFiling, or through the HUB, which have a "Latest Action Date" since January 1, 2000. This dataset does not include jobs submitted through DOB NOW. See the DOB NOW: Build – Job Application Filings dataset for DOB NOW jobs.

❔ A propos

L'OPT publie ses offres d'emplois:

• Les offres d'emploi

Ces données sont également délivrées via API via notre marketplace d'API.

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🎯 Objectif

Le but de ce dataset est de délivrer ces données afin de proposer une expérience data originale et optimale pour optimiser la gestion de ce processus avec des outils data.

➡️ You can choose from multiple data formats, delivery frequency options, and delivery methods;

➡️ Extensive datasets with job postings data from 5 leading B2B data sources;

➡️ Jobs API designed for effortless search and enrichment (accessible using a user-friendly self-service tool);

➡️ Fresh data: daily updates, easy change tracking with dedicated data fields, and a constant flow of new data;

➡️ You get all necessary resources for evaluating our data: a free consultation, a data sample, or free credits for testing the API.

✅ For HR tech

Job posting data can provide insights into the demand for different types of jobs and skills, as well as trends in job postings over time. With access to historical data, companies can develop predictive models.

✅ For Investors

Explore expansion trends, analyze hiring practices, and predict company or industry growth rates, enabling the extraction of actionable strategic and operational insights. At a larger scale of analysis, Job Postings Data can be leveraged to forecast market trends and predict the growth of specific industries.

✅ For Lead generation

Coresignal’s Job Postings Data is ideal for lead generation and determining purchasing intent. In B2B sales, job postings can help identify the best time to approach a prospective client.

➡️ Why 400+ data-powered businesses choose Coresignal:

1. Experienced data provider (in the market since 2016);
2. Exceptional client service;
3. Responsible and secure data collection.