It is not always easy to find job opportunities if you are interested in beginning to do research in a certain field. In this sense, having an up-to-date dataset with job offers in your field of interest would simplify this search. This dataset could be generated using web scraping methods. Although the web scraper we built could be applied to every field, in this project we focused in opportunities related with data science (i.e. data scientist, data analyst, data engineer...) published on EURAXESS. The dataset generated with this package contains job offers obtained from EURAXESS. Each row of the dataset contains different job offers and its attributes. In the example table showed below, the dataset was obtained using "Data Scientist" as keyword, but another keywords would result in different datasets. The columns describing the dataset are: Job Offer Title: Title of the job offer. Researcher Profile: Expected applicant profile/s. Company: Company offering the job. Hours/Week: Weekly working hours. Country: Country where the job is offered. City: City where the job is offered. Where to Apply: Url or email where to apply to the offer. More info: URL where the offer can be located. Dataset generated by web scraping methods: https://github.com/avicenteg/euraxess_scraping