Autonomous AI crawler
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Crawl website (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (15)
- Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Edit Fields (Set)
n8n-nodes-base.set - Manual Trigger
n8n-nodes-base.manualTrigger - Supabase
n8n-nodes-base.supabase - Merge
n8n-nodes-base.merge - Markdown
n8n-nodes-base.markdown - HTML
n8n-nodes-base.html - Split Out
n8n-nodes-base.splitOut - Remove Duplicates
n8n-nodes-base.removeDuplicates - Filter
n8n-nodes-base.filter - Aggregate
n8n-nodes-base.aggregate - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent
What it does
This workflow with AI agent is designed to navigate through the page to retrieve specific type of information (in this example: social media profile links). The agent is equipped with 2 tools: - text tool: to retrieve all the text from the page, - URLs tool: to extract all possible links from the page. 💡 You can edit prompt and JSON schema connected to the agent in order to return other data then social media profile links. 👉 This workflow uses Supabase as storage (input/output). Feel free to change it to any other database of your choice. 🎬 See this workflow in action in my YouTube video. How it works? The workflow uses the input URL (website) as a starting point to retrieve the data (e.g. example.com). Using the "URLs tool", the agent is able to retrieve all links from the page and navigate to them. For example, if you want to retrieve contact information, agent will try to find a subpage that might contain this information (e.g. example.com/contact) and extract the information using the text tool. Set up steps 1. Connect database with input data (website addresses) or pin sample data to trigger node. 2. Configure the crawling agent to retrieve the desired data (e.g. modify prompt and/or parsing schema). 3. Set credentials for OpenAI. 4. Optionally: split agent tools to separate workflows. If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.