The PredictLeads Job Openings Dataset delivers structured insights into hiring activity directly sourced from company career pages and ATS systems. Every job posting is enriched with standardized fields and categorized using O*NET occupation codes, enabling scalable, high-quality analysis of workforce trends. This dataset provides full visibility into active and historical job postings, capturing when a job was first and last seen, changes in status, seniority level, job function, and more. What’s Inside Each job posting includes: Job Title Job URL (source page) First Seen / Last Seen Timestamps Location (raw and structured) Job Description Text Contract Type (e.g., full-time, remote) Seniority (e.g., manager, director, C-level) Salary Info (raw string + normalized USD range if available) Job Function Category (27+ organizational functions) O*NET Code, Occupation, and Family Language, Tags, and Status (active/closed) Structured by Design The dataset is built to serve scalable use cases, with structured fields like: Location Data (city, state, country, region) Parsed Salary Ranges in multiple currencies and time units Seniority Mapping across 10 levels Standardized Job Categories, e.g. engineering, sales, legal O*NET Integration for advanced occupational classification Access & Delivery API: Search and filter jobs by company, category, date, and more Webhooks: Receive new or updated job postings in real time Bulk Export: Delivered in CSV or JSONL formats Includes Job Openings Deleted Dataset to track removed or closed roles https://docs.predictleads.com/v3/guide/job_openings_dataset

The PredictLeads News Events Dataset captures structured signals from business-related news, helping you identify meaningful company activity across millions of organizations worldwide. We source content from over 29 carefully selected news, blog, and press release platforms, using advanced machine learning models to classify and structure each event into a standardized format. This allows platforms and teams to act on real-world business developments with speed and precision. What’s Inside Each News Event entry contains key metadata such as: - Formatted Signal (e.g., Company X launches a new product) Signal Category (from a set of 29 distinct categories) - Detected Company Information (domain, name, ticker) - News Article Details (title, URL, publication date, relevant sentence) - Event Metadata (effective date, location, funding type, job title, product name, etc.) - Structured Fields for: financing, hiring, recognition, expansion, leadership changes, and more These fields are available via API or flat file export, depending on your integration needs. Supported Categories The dataset supports 29 well-defined event types, grouped into business-friendly categories such as: Acquisition & Investment Leadership & Hiring Product & Innovation Growth & Expansion Recognition & Challenges Delivery & Access REST API access with robust filtering JSONL / CSV bulk delivery Optional webhook integration for real-time workflows https://docs.predictleads.com/v3/guide/news_events_dataset

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