how to parse a column containing jsonl data?

To parse a column containing JSONL data, you can create child columns from the parent column. Here's how: 1. Click on a cell in the JSONL column to open the Cell details panel. 2. Hover over the specific data point you want to extract and click "Add as column". 3. Enter a description for the new column and click "Create column". This process will map the JSONL data to individual columns, making it easier to work with. If you're experiencing any JSON parsing errors, please copy and paste your JSONL data into the chat so we can troubleshoot further.

Source: Table columns | Documentation | Clay University

To parse a JSONL (JSON Lines) file in Clay, you can use the Clay Chrome Extension to extract structured data from webpages or files. Here's a general approach: 1. Install the Clay Chrome Extension. 2. Open your JSONL file in a browser tab (if possible). 3. Use the extension to detect and scrape the data. 4. Export the extracted data to your Clay workspace. If you're experiencing any JSON parsing errors or need more specific guidance, please copy and paste a sample of your JSONL data into the chat so we can troubleshoot further. Can you provide a small sample of your JSONL data or describe any specific issues you're encountering with parsing?

Source: Clay Chrome extension | Documentation | Clay University