Asynchronous bulk web scraping with Bright Data & webhook notifications

🌐 Firecrawl website content extractor

Firecrawl Website Content Extractor (n8n Workflow) This n8n automation workflow uses Firecrawl API to extract structured data (e.g., quotes and authors) from web pages — such as Quotes to Scrape — and handles retries in case of delayed extraction. --- 🔁 Workflow Overview 🎯 Purpose: - Crawl and extract structured web data using Firecrawl - Wait for asynchronous scraping to complete - Retrieve and validate results - Support retries if content is not ready --- 🔧 Step-by-Step Node Breakdown 1. 🧪 Man

Perform Multi-type DNS Lookups with Google's Free Public DNS Service

This n8n template makes it easy to perform DNS lookups directly within your n8n workflow using dns.google, without any API credentials. Use Cases Track changes: Schedule execution and log DNS answers to track changes to records over time. Monitoring and alerts: Schedule execution for DNS monitoring to detect misconfiguration and to trigger immediate alerts. Prerequisite checks: Use in more extensive workflows to ensure DNS resolves correctly before running a website cr

Create song lyric documents and Spotify playlists for singers with Google Docs

Setlist Manager This workflow takes a Google spreadsheet called 'SetlistManager' with 'Artist' and 'SongTitle' entries and get's Lyrics for each song and creates a playlist for that set of songs. 1. Create Spotify Playlist (naming it 'Setlist - [date of today]') 2. Create the Google doc that will store the lyrics found. (naming it 'Setlist - [date of today]') 3. Get the rows of songs from 'SetlistManager'. 4. Use AI to verify the Artist name and song title. 5. Get the lyrics to the song. 6. Appe

Send an SMS via GoSMS regarding a paid or an overdue invoice in Fakturoid

As soon as a new overdue invoice appears in Fakturoid, an SMS message is automatically sent via GoSMS to the customer with a payment reminder. As soon as a paid invoice appears in Fakturoid, an SMS message is automatically sent via GoSMS to the Fakturoid account holder.

Local chatbot with retrieval augmented generation (RAG)

Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files. Tutorial Click here to view the YouTube Tutorial How it works Build a chatbot that answers based on documents you provide it (Retrieval Augmented Generation). You can upload as many PDF files as you want to the Qdrant database. The chatbot will use its retrieval tool to fetch the chunks and u

🛠️ Re-Access Binary Data from Any Previous Node

How it works Ever had binary data (like images, PDFs, or files) disappear in your n8n workflow after an intermediate node processed it? This workflow provides a powerful solution by demonstrating how to re-access and re-attach binary data from any previous node, even if it was dropped along the way. Think of it like having a reliable backup copy of your file always available, no matter what happens to the original as it moves through your workflow. Here's how this template works step-by-step: 1.

Send weekly engagement stats & raffle updates via WhatsApp using Airtable

Scheduled Trigger: Every X day at Y pm, the workflow is automatically triggered. Fetch User Data: The workflow retrieves all user records from the "WhatsApp Engagement Database" in Airtable. Each record contains the user’s WhatsApp ID, current points, and the number of raffle vouchers. Personalized Message Preparation: For each user, a personalized WhatsApp message is prepared. The message includes: The user’s current point total The number of raffle vouchers they have for the week

Chat with local LLMs using n8n and Ollama

Chat with local LLMs using n8n and Ollama This n8n workflow allows you to seamlessly interact with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. By connecting to Ollama, a powerful tool for managing local LLMs, you can send prompts and receive AI-generated responses directly within n8n. Use cases Private AI Interactions Ideal for scenarios where data privacy and confidentiality are important. Cost-Effective LLM Usage Avoid ongoing cloud API costs by runn