Xing-dataset-samples

A sample dataset of 1001 Xing social network

A Xing dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Xing dataset:

• account_id: A unique identifier for the user's account
• familyName: The user's family name or surname
• gender: The user's gender
• membership: Membership information
• country_code: The country code
• 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
• education: Contains information about the user's educational background
• languages: Indicates the languages known by the user and their proficiency levels
• groups: Represents the groups or communities the user is a part of
• interests: Specifies the user's interests

And a lot more.

This is a sample subset which is derived from the "Xing social network" dataset which includes more than 9.8M records.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Xing dataset.

What are the Xing datasets use cases?

1. Lead Generation

Enhance lead generation and streamline CRM processes by utilizing up-to-date job and company data from Xing.

2. Investment Opportunities

Identify emerging business opportunities and evaluate potential investment candidates by monitoring movements within and between German companies.

3. Recruit Top Talent

Identify and track top talent by analyzing skills, education, and experience profiles of professionals from German-speaking countries.

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