Structured job listings from job boards, aggregators, recruitment portals, niche sites, and company career pages, collected at the scale, cadence, and schema your team needs.
Custom schemas are available. Zyte can map extracted fields to your own data model and deliver in the format your team uses — CSV, JSON, Excel, or API feed.
I have been working with Zyte's team for the last few months, and their team is fantastic. I appreciate their development speed and quality, and they run a very robust platform, producing very satisfactory results. I love the ease of the initial setup with Zyte, as they took care of all the development, and we only needed to communicate what data we needed and set up the necessary processes on our end.
Talk to a data specialist about coverage and schema, or request sample data for a source you care about.
Zyte supports training and pre-training dataset builds, fine-tuning and domain adaptation corpora, RAG knowledge base pipelines, evaluation set construction, and web access for AI agents. Continuously refreshed pipelines are available.
Every dataset Zyte delivers includes documented sourcing — the origin URLs, collection method, extraction date, and schema version. This gives AI teams the audit trail needed for enterprise procurement reviews and, where applicable, EU AI Act compliance documentation.
Zyte delivers data in JSONL, Parquet, CSV, and custom formats, via S3, SFTP, API, or direct warehouse integration. Format and delivery cadence are scoped per project.
For continuously refreshed pipelines, cadence is defined per source based on how frequently that source actually changes. News and forum content can be refreshed daily or intraday; broader web corpora are typically refreshed on a weekly or monthly schedule.
Zyte collects only publicly accessible content and applies opt-out signal detection, copyright flagging, and personal data filtering. For enterprise customers and those subject to the EU AI Act, Zyte provides written documentation of collection methodology and governance controls.
Yes. Zyte Data projects are scoped to your schema — you define the fields, structure, and normalisation logic. Standard schemas are available as a starting point for common content types like articles, products, and job postings.
A scoped dataset with a defined schema and source list typically takes two to four weeks from kickoff to first delivery. Timelines vary with source complexity and volume.
Yes. Talk to a data specialist to request sample data from the sources you care about before agreeing to a contract.
