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Optimizing Magento API Integration for Bulk Product Description Updates

Avatar of Peter v.Peter v.
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🔥 Question about Clay + Magento API Integration 🔥 Hey everyone! 👋 I'm working on a project where we need to automatically enrich product descriptions for a Magento webshop (8,000+ products). We want to handle everything directly in Clay, without external automation tools. 💡 Use-case: 1️⃣ Fetching product data → The challenge is retrieving all 8,000+ products via the Magento REST API and importing them into Clay without timeouts or rate limits. What’s the best way to handle pagination, batch requests, or any other optimization strategies? 2️⃣ AI enhancement → Using a GPT prompt in Clay to generate a new, improved product description. 3️⃣ Magento API update → Sending the generated description back to Magento per product via the Magento REST API. 🚀 My main concern: ➡️ How can I efficiently pull all 8,000 products into Clay via the Magento API without hitting timeouts? ➡️ Are there best practices for handling large product imports (pagination, batch requests, caching, etc.)? ➡️ Once in Clay, what’s the most efficient way to process and update each product row by row? Would love to hear from anyone who has tackled similar challenges! 🙏🔥

3 comments

  • Avatar of Channeled
    Channeled
    APP
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    For importing large datasets like 8,000 products from Magento into Clay, here's how you can handle it efficiently: 1. Use Clay's webhook functionality to receive the data: • Set up a webhook endpoint in Clay to receive product data • Process up to 10 records per second with a maximum burst capacity of 20 records • Keep each payload under 100KB 2. Implementation approach: • Break down your 8,000 products into smaller batches • Send data to Clay via webhooks • Use Clay's HTTP API integration to process the enriched data and send it back to Magento To optimize the process: ** Implement pagination in your Magento API calls ** Use batch processing to stay within webhook rate limits * Consider implementing error handling and retry mechanisms for failed requests For processing updates, you can use Clay's HTTP API integration to send the enriched data back to your application after processing.

  • Avatar of Channeled
    Channeled
    APP
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  • Avatar of Channeled
    Channeled
    APP
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