Users and third parties are prohibited from scraping ZipRecruiter content or using any part of the platform's content to train AI or machine learning models.
This analysis describes what ZipRecruiter's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This clause explicitly prohibits using ZipRecruiter's job posting data, resume data, or other content as training data for AI systems, which is directly relevant for companies developing recruitment AI tools that might otherwise ingest publicly accessible job market data.
This provision primarily affects developers, AI companies, and employers using third-party AI recruitment tools that may rely on scraped ZipRecruiter data. For individual job seekers, it means third parties are contractually prohibited from feeding your profile or resume data into AI training datasets via scraping, though enforcement depends on ZipRecruiter's ability to detect and act on violations.
How other platforms handle this
(ix) engage in any of the foregoing in connection with the use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any machine learning tool, model, system, algorithm, product or other technology.
You may not use the Services, including any outputs, to develop, train, fine-tune, or improve any machine learning model or artificial intelligence system that competes with AI21's products or services.
You may not use the Services to develop foundation models or other large scale models that compete with Amazon Bedrock or any other AWS Service.
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"'crawling' or 'scraping', whether by automated, manual, or other non-automated means, or otherwise using any automated means (including, without limitation, 'bots,' 'scrapers,' and 'spiders'), to view, access or collect information or content from the Services, or using any part of the Services or content to train a machine learning or AI model or otherwise ingesting content or any portion of the Services into a machine learning or AI model— Excerpt from ZipRecruiter's ZipRecruiter Terms of Use
1. REGULATORY LANDSCAPE: This provision engages emerging AI governance frameworks including the EU AI Act, which imposes transparency and data provenance requirements on AI training datasets, and GDPR Article 6 lawful basis requirements for processing personal data in AI training contexts. In the U.S., the FTC has issued guidance on AI and data practices, and copyright law questions around AI training on scraped content are subject to active litigation and legislative consideration. 2. GOVERNANCE EXPOSURE: Medium. The prohibition on AI training use is increasingly standard in platform terms following high-profile disputes over scraping and AI training data. Enforcement against determined actors remains technically challenging, but the contractual prohibition creates a clear legal basis for claims against parties found to be using ZipRecruiter content in AI training pipelines. Employers using third-party AI recruitment tools should assess whether those tools obtain training data in ways that could implicate this provision. 3. JURISDICTION FLAGS: The EU AI Act creates heightened exposure for EEA-based AI developers who may be using platform data in high-risk AI system training. California's CPRA and proposed AI-related legislation may also interact with this provision. The prohibition applies globally to all users, but enforcement mechanisms and legal remedies vary significantly by jurisdiction. 4. CONTRACT AND VENDOR IMPLICATIONS: Employer-clients using third-party AI-powered recruitment, resume screening, or candidate matching tools should require vendors to confirm that their AI models were not trained on ZipRecruiter-scraped data, as use of such tools could expose the employer to secondary liability under this provision. Vendor due diligence questionnaires should include questions about training data provenance and scraping practices. 5. COMPLIANCE CONSIDERATIONS: Organizations with in-house AI or data science teams that access ZipRecruiter's platform for research, benchmarking, or model training should review this prohibition and ensure internal policies prohibit such use. Legal teams should assess whether API access agreements, if available from ZipRecruiter, provide a compliant alternative pathway for data access.
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This clause explicitly prohibits using ZipRecruiter's job posting data, resume data, or other content as training data for AI systems, which is directly relevant for companies developing recruitment AI tools that might otherwise ingest publicly accessible job market data.
This provision primarily affects developers, AI companies, and employers using third-party AI recruitment tools that may rely on scraped ZipRecruiter data. For individual job seekers, it means third parties are contractually prohibited from feeding your profile or resume data into AI training datasets via scraping, though enforcement depends on ZipRecruiter's ability to detect and act on violations.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by ZipRecruiter.