Host your own AI deep research agent with n8n, Apify and OpenAI o3
This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers. > An agent that uses reasoning to synthesize large amount of online information and complete multi-step research tasks for you. Source Though the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at! Using this workflow, n8n users can enjoy a variation of the Deep Research experience for themselves and their teams at a fraction of the cost. Better yet, learn and customise this Deep Research template for their businesses and/or organisations. Check out the generated reports here: https://jimleuk.notion.site/19486dd60c0c80da9cb7eb1468ea9afd?v=19486dd60c0c805c8e0c000ce8c87acf How it works A form is used to first capture the user's research query and how deep they'd like the researcher to go. Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work. The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings. Once complete, all learnings are combined and given to a reasoning LLM to generate the final report. The report is then written to the placeholder Notion page created earlier. How to use Duplicate this Notion database template and make sure all Notion related nodes point to it. Sign-up for APIFY.com API Key for web search and scraping services. Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series. You must publish this workflow and ensure the form url is publically accessible. On depth & breadth configuration For more detailed reports, increase depth and breadth but be warned the workflow will take exponentially longer and cost more to complete. The recommended defaults are usually good enough. Depth=1 & Breadth=2 - will take about 5 - 10mins. Depth=1 & Breadth=3 - will take about 15 - 20mins. Dpeth=3 & Breadth=5 - will take about 2+ hours! Customising this workflow I deliberately chose not to use AI-powered scrapers like Firecrawl as I felt these were quite costly and quotas would be quickly exhausted. However, feel free to switch web search and scraping services which suit your environment. Maybe you don't decide to source the web and instead, data collection comes from internal documents instead. This template gives you freedom to change this. Experiment with different Reasoning/Thinking models such as Deepseek and Google's Gemini 2.0. Finally, the LLM prompts could definitely be improved. Refine them to fit your use-case. Credits This template is largely based off the work by David Zhang (dzhng) and his open source implementation of Deep Research: https://github.com/dzhng/deep-research
By JimleukReal-time currency conversion via webhook & Google search parsing
This automated n8n workflow provides real-time currency conversion by capturing GET requests via a webhook, parsing exchange rate data from Google Search, and returning a formatted response. The system handles query parameter validation and error cases to ensure reliable conversions. What is Real-Time Currency Conversion? Real-time currency conversion involves fetching the latest exchange rates from Google Search via HTTP requests, processing the data, and delivering a user-friendly conversion result based on a provided query parameter. Good to Know The workflow requires a valid query parameter (q) for conversion requests Google Search parsing depends on the availability and structure of search results Error handling is included for missing query parameters Responses are formatted for easy integration How It Works Webhook - Captures GET requests with query parameter q Check Query Parameter - Validates that the required query parameter exists Fetch Exchange Rate - Makes HTTP request to Google search for exchange rates Error Response - Handles missing query parameter errors Extract Conversion Data - Processes HTML response to extract conversion data Format Currency Response - Formats the result into a user-friendly response Send Conversion Response - Returns the formatted response How to Use Import the workflow into n8n Configure the webhook to receive GET requests with a query parameter (q) Test the workflow with sample conversion queries (e.g., "1 USD to INR") Monitor for error responses and adjust query handling if needed Requirements Webhook configuration Internet access for Google Search requests Customizing This Workflow Adjust the query parameter validation in the Check Query Parameter node to support additional formats Modify the Format Currency Response node to change the output format based on user needs
By Oneclick AI Squad