https://github.com/luminati-io/xing-dataset-samples
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.
https://github.com/luminati-io/xing-dataset-samples
dataset datasets xing xing-api
Last synced: 4 months ago
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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.
- Host: GitHub
- URL: https://github.com/luminati-io/xing-dataset-samples
- Owner: luminati-io
- Created: 2024-11-10T07:29:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-10T07:34:12.000Z (over 1 year ago)
- Last Synced: 2025-03-22T07:02:04.335Z (about 1 year ago)
- Topics: dataset, datasets, xing, xing-api
- Homepage: https://brightdata.com/products/datasets/xing
- Size: 1.01 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Xing-dataset-samples
A sample dataset of 1001 Xing social network
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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](https://brightdata.com/products/datasets/xing).
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.
Free access to web scraping tools and datasets for academic researchers and NGOs
The Bright Initiative offers access to Bright Data's [Web Scraper APIs](https://brightdata.com/products/web-scraper) and [ready-to-use datasets](https://brightdata.com/products/datasets) to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application [here](https://brightinitiative.com).