{"id":28998595,"url":"https://github.com/luminati-io/xing-dataset-samples","last_synced_at":"2026-02-03T10:32:54.655Z","repository":{"id":283784046,"uuid":"886099225","full_name":"luminati-io/Xing-dataset-samples","owner":"luminati-io","description":"A sample dataset of over 1000 Xing social network , extracted using the Bright Data API, ideal for lead generation, CRM enrichment, investment opportunities, and talent recruitment. 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Dataset was extracted using the \u003cb\u003eBright Data API\u003c/b\u003e.\n\n\u003ch2\u003eSome of the data points that are included in the Xing dataset:\u003c/h2\u003e\n\n* ```account_id```: A unique identifier for the user's account\n* ```familyName```: The user's family name or surname\n* ```gender```: The user's gender\n* ```membership```: Membership information\n* ```country_code```: The country code\n* ```experience```: Array containing information about the user's work experience. Each item in the array includes details such as current job, company, job title, start date, end date, company page, company logo, and description\n* ```education```: Contains information about the user's educational background\n* ```languages```: Indicates the languages known by the user and their proficiency levels\n* ```groups```: Represents the groups or communities the user is a part of\n* ```interests```: Specifies the user's interests\n\nAnd a lot more.\n\nThis is a sample subset which is derived from the \"Xing social network\"\ndataset which includes more than \u003cb\u003e9.8M records\u003c/b\u003e.\n\nAvailable dataset file formats: \u003cb\u003eJSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz\u003c/b\u003e.\n\nDataset delivery type options: \u003cb\u003eEmail, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP\u003c/b\u003e.\n\nUpdate frequency: \u003cb\u003eOnce, Daily, Weekly, Monthly, Quarterly, or Custom basis\u003c/b\u003e.\n\nData enrichment available as an addition to the data points extracted: \u003cb\u003eBased on request.\u003c/b\u003e\n\n\u003cb\u003e[Get the full Xing dataset](https://brightdata.com/products/datasets/xing)\u003c/b\u003e.\n\n\u003ch2\u003eWhat are the Xing datasets use cases?\u003c/h2\u003e\n\n\u003ch3\u003e1. Lead Generation\u003c/h3\u003e\nEnhance lead generation and streamline CRM processes by utilizing up-to-date job and company data from Xing.\n\n\u003ch3\u003e2. Investment Opportunities\u003c/h3\u003e\nIdentify emerging business opportunities and evaluate potential investment candidates by monitoring movements within and between German companies.\n\n\u003ch3\u003e3. Recruit Top Talent\u003c/h3\u003e\nIdentify and track top talent by analyzing skills, education, and experience profiles of professionals from German-speaking countries.\n\n\u003ch2\u003eFree access to web scraping tools and datasets for academic researchers and NGOs\u003c/h2\u003e\n\nThe Bright Initiative offers access to Bright Data's \u003cb\u003e[Web Scraper APIs](https://brightdata.com/products/web-scraper)\u003c/b\u003e and \u003cb\u003e[ready-to-use datasets](https://brightdata.com/products/datasets)\u003c/b\u003e to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application \u003cb\u003e[here](https://brightinitiative.com)\u003c/b\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluminati-io%2Fxing-dataset-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluminati-io%2Fxing-dataset-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluminati-io%2Fxing-dataset-samples/lists"}