Error Analysis Needed for Multiple Rows - Help Requested

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When encountering multiple errors, it's best to first test with a small sample of data to identify and fix any issues. Here's what I recommend: 1. Start by testing just 10 rows to troubleshoot the errors efficiently. 2. Common causes of errors include: • Incorrect JSON formatting in the body section • Missing double quotes around string values • Improper punctuation or syntax • Hidden characters in the text • Incorrect API key 3. Once you've identified and fixed the issue with the test rows, you can then run the process on your full dataset with confidence. Sources: HTTP API with JWT Authentication - Clay University Guide: Ways to Save Clay Credits - Clay University Find People [Clay 101] - Clay University
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