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Webhook to Populate Multiple Fields Across Rows: Is It Possible?
Is it possible to get a webhook to populate multiple fields into multiple rows?
Is it possible to get a webhook to populate multiple fields into multiple rows?
Instead of just one row?
Yes, it's possible to use a webhook to populate multiple fields into multiple rows. However, by default, webhooks in Clay create new rows for each incoming data point. To achieve what you're looking for, you'll need to set up a custom solution. One approach is to structure your JSON payload to include multiple rows of data. Then, use a Google Apps Script to process this data and send it to Clay via webhook. This script can iterate through your data, sending each row individually. If you're experiencing any JSON-related issues, please copy and paste your JSON into the chat so we can troubleshoot further.
Interesting, I'm pushing the data from N8n, is it possible to skip the app script step?
Yes, it's possible to use n8n to push data directly into multiple rows in Clay without using Google Apps Script. You can set up a webhook integration between Clay and n8n. Here's how: 1. In Clay, add a new source by clicking "Import Data from Webhook" and copy the generated webhook URL. 2. In n8n, create a workflow with a webhook node as the trigger. 3. Add nodes in n8n to process your data and prepare it for sending to Clay. 4. Use a "Respond to Webhook" node in n8n to send the data to Clay's webhook URL. 5. In Clay, set up a table to receive data from the webhook. To ensure data is added to multiple rows, structure your JSON payload to include multiple data points. If you're experiencing any JSON-related issues, please copy and paste your JSON into the chat so we can troubleshoot further.
usecase?
The use case for pushing data from n8n into multiple rows in Clay is typically for importing or updating data in bulk. This can be useful when you have multiple data points that need to be added to your Clay table simultaneously. For example, you might use this approach when: 1. Scraping data from websites and wanting to add each result as a new row 2. Importing data from another system or database 3. Updating multiple existing records with new information To achieve this, you'd structure your JSON payload in n8n to include multiple data points. Then, use a webhook integration between Clay and n8n to send this data directly to Clay. If you're experiencing any JSON-related issues while setting this up, please copy and paste your JSON into the chat so we can troubleshoot further.
I'm pushing a list of people who engage with a post into a clay table. I'd like for it to create a list instead of pushing all the data into one payload cause then I can only select one
To push a list of people who engage with a post into a Clay table as multiple rows, you can use the "write to table" feature. Here's how: 1. Set up a webhook in Clay to receive the data. 2. Structure your JSON payload to include multiple data points, with each representing a person who engaged with the post. 3. Use a tool like n8n to send the data to Clay's webhook URL. 4. In Clay, set up a table to receive data from the webhook. This approach will create a new row for each person in your list. If you're experiencing any JSON-related issues while setting this up, please copy and paste your JSON into the chat so we can troubleshoot further.
split the list in n8n and it will start sending each person as a seperate row in clay.
split out node
To split a list in n8n and send each person as a separate row in Clay, you can use the "write to table" feature. Here's how: 1. In n8n, use a "Split In Batches" node to break down your list into individual items. 2. Set up a webhook in Clay to receive the data. 3. In n8n, use an HTTP Request node to send each item to Clay's webhook URL. 4. In Clay, set up a table to receive data from the webhook. This approach will create a new row for each person in your list. The "write to table" feature in Clay is designed to map individual items to rows in the destination table.
To use the "split out" node in n8n to send each person as a separate row to a Clay table: 1. In n8n, use the "Split In Batches" node to break down your list of people into individual items. 2. For each item, use an HTTP Request node to send data to Clay's webhook URL. 3. In Clay, set up a "write to table" action to receive the webhook data: • Select your destination table • Map the incoming data to the appropriate columns • Enable auto-update if you want new rows automatically added 4. Each person will be written as a separate row in your Clay table. This approach allows you to map individual items from your n8n workflow to rows in your Clay table efficiently.
ah ok I haven't tried that yet. Will that handle volume?
yes just take care of rate limits of clay hook , add batching in http node
Yes, the "Split In Batches" node in n8n can handle high volumes of data when sending each person as a separate row to a Clay table. Here's how it works: 1. The "Split In Batches" node breaks down your list into individual items. 2. Each item is then sent to Clay's webhook URL using an HTTP Request node. 3. In Clay, the "write to table" feature receives the webhook data and creates a new row for each person. This approach is designed to efficiently map individual items from your n8n workflow to rows in your Clay table, even with large volumes of data. If you're experiencing any JSON-related issues while setting this up, please copy and paste your JSON into the chat so we can troubleshoot further.
To use the "Split In Batches" node in n8n for handling high volumes of data and sending each person as a separate row to a Clay table while managing rate limits: 1. Use the "Split In Batches" node to break down your list into individual items. 2. Set up a webhook in Clay to receive the data. 3. In n8n, use an HTTP Request node to send each item to Clay's webhook URL. 4. Enable batching in the HTTP Request node settings to manage rate limits. 5. Implement a "Wait" node in the workflow to slow down requests if needed. 6. In Clay, use the "write to table" feature to receive webhook data and create new rows. This approach allows efficient mapping of individual items from n8n to rows in your Clay table while respecting rate limits. If you encounter any JSON-related issues, please copy and paste your JSON into the chat for further troubleshooting.
