DOI: 10.5281/zenodo.17581354
title: Dataset of Exhibitors from Wine Paris 2026

description: This dataset provides a comprehensive list of exhibitors from the "Wine Paris 2026" event, as captured from the official event marketplace on November 11, 2025. The data was collected using a custom web scraping script developed in Python.The dataset includes key information for each exhibitor, such as their official name, country of origin, location at the event (hall and stand number), product categories, and a direct link to their profile. The purpose of this work is to offer a structured and accessible resource for analyzing the composition and characteristics of participants in one of the most significant events in the global wine and spirits industry.

Collection MethodologyThe data was extracted using an automated scraper built with the Selenium library in Python. The process was designed to be robust and respectful of the source website:



Ethical Compliance: Prior to extraction, the domain's robots.txt file was reviewed. It contained an explicit Allow: / directive, confirming that automated crawling was permitted and ensuring the legitimacy of the data collection process.

Dynamic Content Handling: The scraper was engineered to interact with a modern JavaScript-based web application. Two key techniques were implemented:



Click-Based Navigation: Pagination was handled by simulating user clicks on the page number buttons, as direct URL navigation was not effective for loading subsequent pages.

Staged Scrolling: To counter "lazy loading" of content, a gradual scrolling loop was implemented. This method ensures that the entire list of ~60 exhibitors per page is fully loaded into the DOM before extraction begins.



Robust Extraction: Data from each exhibitor card was extracted granularly, with individual error handling for each field. This approach ensures that even cards with incomplete information were processed, thereby maximizing the completeness of the final dataset

Responsible Use: The script incorporates deliberate pauses between requests and page navigations to avoid overloading the source server.


Dataset StructureThe dataset is provided as a single file, expositores_wineparis.csv / expositores_wineparis.xlsx, with the following specifications:Format: CSV (Comma-Separated Values) / XLSX (Microsoft Excel)Column Separator: Semicolon (;)Encoding: UTF-8 with BOM (utf-8-sig) to ensure proper rendering of special characters.Number of Records: 3899Date of Collection: 2025-11-11

Data Dictionary (Columns):title (Text): The official trade name of the exhibitor.location (Text): The country or region of origin of the exhibitor.cardHall (Text): The hall number or name where the exhibitor's stand is located. May be empty if not specified.cardStand (Text): The identifier for the exhibitor's stand within the hall. May be empty if not specified.categories (Text): A list of product categories or specializations associated with the exhibitor, concatenated into a single string and separated by commas.desc_en (Text): The detailed description of the exhibitor in English, if available on the page.desc_fr (Text): The detailed description of the exhibitor in French, if available on the page.link (URL): A direct link to the exhibitor's profile page on the event's website.

Potential for ReuseThis dataset can be used for various types of analysis, including but not limited to:



Market Analysis: Studying the geographical distribution of global wine and spirits producers.

Business Intelligence: Identifying predominant product categories and emerging trends within the industry.

Spatial Analysis: Mapping the distribution of exhibitors within the event venue.

Academic Research: Serving as a foundational dataset for studies on the structure of international trade fairs in the viticultural sector.