Employee dataset
Make informed decisions, improve workforce management, and improve operational efficiency with an employee dataset
- Tens of millions of records available
- Tap into all major datapoints
- Accurate data from major business websites
Employee dataset sample
Depending on the domain, data points may include: name, title, position, current company, avatar, experience, education, location, and more.
新規または更新されたレコードのデータフィードに登録する
正確性と信頼性のための厳格なデータ検証から利益を得る
ゼロ努力でデータ収集管理を楽しむ
API経由で簡単にデータにアクセスして操作を効率化する
料金は月額 $500ドルから
- 標準化されたデータスキーマ
- 新鮮でクリーンな解析済みのデータ
- 多様なデータとグローバルなカバレッジ
- 毎日、毎週、毎月、カスタム
Employee datasets tailored to your needs
サブスクリプション
さまざまなファイル出力形式
データセットの形式はJSON、ndJSON、CSV、Excelに対応
複数の配信オプション
スケーラブルデータ
インフラ、プロキシサーバー、またはブロックを気にせずに拡張する
カスタム出力フィールド
特定のビジネス要件に合わせてカスタム出力フィールドを定義します
コードのメンテナンス
データのスケーリング
大量のデータ要求を処理可能なサーバーを定義
24時間年中無休のサポート
専用のアカウントマネージャーによりデータ収集を管理
データの品質保証
Eデータの信頼性・正確性を確保して、より良い意思決定を支援
Get structured and reliable Employee data
お客様が他の業務に全力を注げるように、当社がデータを提供
大量のウェブデータ
ブロック解除機能と24時間体制のIPローテーションにより、ウェブサイト上のすべてのデータポイントへのアクセスを保証します。
即戦力となるデータ
データ収集プロセスのあらゆる側面が、当社の堅牢なデータ検証プロセスの一環として徹底的に検証されます。
シームレスなデータフロー
カスタムスケジュールを作成してデータ配信を自動化し、ストレージへのデータフローをシームレスに監視します。
How companies use Employee datasets
Improve recruitment
Track workforce
B2B data
Get your Employee dataset today.
Datasets FAQs
What are Bright Data’s Marketplace Datasets?
Bright Data Dataset Marketplace are validated collections of high-quality datasets covering various topics, sourced from various reliable and diverse public online data sources. These datasets are meticulously gathered, cleaned, and structured to provide valuable business insights.
What types of datasets are available through Bright Data?
Bright Data offers diverse datasets spanning industries such as AI and LLMs, e-commerce, finance, travel, social media, and more. These datasets encompass various data types, including text, images, videos, and structured data, providing comprehensive coverage for different analytical needs.
Are the datasets in the marketplace customizable?
Yes, we get that different projects have unique requirements. This is why we offer customization options for datasets, allowing users to tailor the data to specific parameters such as timeframes, geographic regions, or specific data fields. This ensures that the datasets you receive are perfectly suited to your needs.
Are Bright Data Datasets ethically sourced?
Bright Data prioritizes ethical data-sourcing practices. They adhere to strict ethical guidelines and comply with all relevant regulations to ensure that the data provided is obtained ethically and legally. Additionally, Bright Data is committed to maintaining the privacy and security of data subjects and users.
Can I trust the quality of Bright Data Datasets?
Yes. Each dataset undergoes rigorous quality assurance processes to ensure accuracy, reliability, and relevance. Additionally, we continuously update and refresh our datasets to reflect the latest information, ensuring that users always have access to the most current data.
What are some common use cases for Bright Data Datasets?
Common use cases include machine learning and AI model training, product enrichment, market research, trend analysis, sentiment analysis.
What data formats and delivery methods does Bright Data support?
Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. Datasets can be delivered via Snowflake, Webhook, Google Cloud, Email, PubSub, Amazon S3, SFTP or Azure. You can also iInitiate requests through API for on-demand data.
What If I want fresh, up-to-date datasets?
Not a problem. Before proceeding to checkout, you will be able to define the time range of the data freshness you would like to get.
What is the difference between pre-collected and fresh data?
You can choose between instantly available datasets, with data dating back from a few days to a couple of months, or freshly collected data.
Do you have subscription options?
Yes. You can subscribe to any dataset and receive fresh data directly to your storage on a daily, weekly, monthly, quarterly or yearly basis.