Hi all, I am trying to bridge the messages sent to me by clients on whatsapp and GHL. The main problem is that many send me audios and GHL does not process them, then I thought that the messages come to n8n process them and create the conversation with the api of GHL, but using the api, It creates the conversation as if I were sending the messages, when I want to make the way I get them as if the customer sent them to me. Does anyone know how I can do it? Using this endpoint: https://services.leadconnectorhq.com/conversations/messages

Hi people, I need help with a node in n8n, basically I am making an automation that daily summarizes me youtube videos and uploads them to a database. In the same workflow I have a filter that I need that by those coincidences the videos are not repeated. My problem is that before the filter node, I bring all the records from the database, and I check that the title of the records in my database is not the same as the one I am trying to upload, but the problem is that it is only checking the first of all the records in my database and I need to do it with all of them, therefore the videos are being duplicated. So in the first image of the filter, it is only accessing position one that it fetches from the database when I need it to check all of them. And in the second picture it brings more than one result from the database so you can observe. Does anyone know what I can do?

Hey all! New video alert! 🚀 Been pumping out videos quickly... I'll be out this weekend so will be roughly a week until my next upload. Was going to schedule upload them but I was too excited. In this video, I’ll show you exactly how to do it using n8n! 🔍 From setting up the workflow to automating the entire process, I’ll guide you step-by-step to feed in custom searches, scrape the data, and optimize it. 📊 Finally, we’ll send everything straight to Google Sheets for easy access! Enjoy the video, let me know your guys' thoughts! Here are the code snippets: Code Node #1: const data = $input.first().json.data const regex = /https?:\/\/[^\/]+/g urls = data.match(regex) return urls.map(url => ({json: {url: url}})) Code Node #2 const data = $json.data const emailRegex = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.(?!png|jpg|gif|jpeg)[a-zA-Z]{2,}/g emails = data.match(emailRegex) console.log(emails) return {json: {emails: emails}}

I'm building an automation in n8n, which basically is an agent that generates answers in another language as if it were me, in its knowledge base in pinecone I add pictures of conversations I had with different people and how I interact with them, and I'm trying that for example I pass a screenshot of a person who speaks to me, and I need the agent to first translate what he says and then generate an answer as if it were me. The screenshots of conversations that I am using for his knowledge are in a google doc and that goes directly to pinecone. Any recommendations on how to improve this?

I continue with the construction of the personal assistant and it would be very useful that the agent can be a kind of translator, and translate me the content that I pass in an image or screenshot, anyone ever could build something like that for image processing in a telegram bot?