Workflow Templates

Use case When collecting leads via an online form, you often need to manually add those new leads into your Pipedrive CRM. This not only takes a lot of time but is also error-prone. This workflow automates this tedious work for you. What this workflow does The workflow is triggered each time a form is submitted in n8n. It validates the email address using Hunter.io. If the email is valid, the workflow checks for an existing person with that email in Pipedrive. If no existing person is found, it utilizes Clearbit to enrich the person's information. It then verifies if the person's organization already exists in Pipedrive, creating a new organization if necessary. The workflow then registers the person in Pipedrive. Lastly, it creates a lead in Pipedrive using information from the person and organization. Setup This workflow is very quick to set up. Add your Hunter.io, Clearbit and Pipedrive credentials Click the test workflow button Activate the workflow and use the form trigger production URL to collect your leads in a smart way How to adjust it to your needs Exchange the n8n form trigger with your form of choice (Typeform, Google Forms, SurveyMonkey...) Add a filter criteria to only add new leads if they match certain requirements Remove the email check with Hunter.io if you don't own this tool and expect new form submission to have a correct email anyways Add ways to handle invalid emails or existing Persons

Shopify Order to Slack Notification E-commerce Automation Team Communication This n8n template instantly notifies your team in Slack whenever a new order is placed on your Shopify store. Perfect for small to medium businesses that want immediate awareness of sales activity and faster order processing. How it works Shopify sends webhook to n8n when new order is created Order data is extracted and formatted into professional message Rich Slack notification is posted to designated channel with customer details, order number, total amount, and direct admin link Team gets instant visibility into new sales activity Set up instructions Set up Shopify credentials in n8n: API Key, Password, Shop Subdomain, and Shared Secret Requirements Shopify store with admin access Slack workspace with channel permissions n8n Shopify and Slack credentials configured Customising this workflow Add email notifications alongside Slack alerts Include customer shipping information in notifications Filter alerts by order value thresholds or product types

Use Case Turn any web page into a compelling LinkedIn post — complete with an AI-generated image. This automation is ideal for sharing content like blog posts, case studies, or product updates in a polished and engaging format. What This Automation Does Given a page URL and optional user instructions, this automation: Scrapes the content of the webpage Uses AI to write a clear, educational, and LinkedIn-optimized post Sends both to Slack for review and approval Handles feedback and revisions via Slack interactions Input: Page URL** — The link to the webpage (required) Instructions** — Optional notes on tone, emphasis, or format Output: LinkedIn post text Slack message with review/approval options How It Works Form Submission: User inputs a web page and optional instructions. Web Scraping: Uses Airtop to extract page content. Post Generation: AI agent writes a post based on the page and instructions. Slack Review Flow: Post and image sent to Slack for feedback User can approve, request revisions, or decline Revisions trigger reprocessing steps automatically Final Post Delivery: Approved post is sent back to Slack, ready to publish. Setup Requirements Generate an Airtop API key completely free. Configure your OpenAI credentials for post and image prompt generation Slack OAuth credentials and a Slack channel Next Steps Post Directly**: Add LinkedIn publishing to automate the full content workflow. Template Variations**: Offer post style presets (e.g., technical, story-driven, short-form). CRM Sync**: Save approved posts and stats in Airtable or Notion for team use. Read more about generating social content using AI

Purpose This workflow allows you to transfer credentials from one n8n instance to another. How it works A multi-form setup guides you through the entire process You get to choose one of your predefined (in the Settings node) remote instances first Then all credentials of the current instance are being retrieved using the Execute Command node On the next form page you can select one of the credentials by their name and initiate the transfer Finally the credential is being created on the remote instance using the n8n API. A final form ending indicates if that action succeeded or not. Setup Select your credentials in the nodes which require those Configure your remote instance(s) in the Settings node Every instance is defined as object with the keys name, apiKey and baseUrl. Those instances are then wrapped inside an array. You can find an example described within a note on the workflow canvas. How to use Grab the (production) URL of the Form from the first node Open the URL and follow the instructions given in the multi-form Disclaimer Please note, that this workflow can only run on self-hosted n8n instances, since it requires the Execute Command Node. Security: Beware, that all credentials are being decrypted and processed within the workflow. Also the API keys to other n8n instances are stored within the workflow. This solution is primarily meant for transferring data between testing environments. For production use consider the n8n enterprise edition which provides a reliable way to manage credentials across different environments.

This workflow automates the collection of comments from posts on a Facebook Page. Providing clean, structured data for analysis or further automation. What this workflow does Fetches recent posts from a Facebook Page. Retrieves comments for each post. Outputs structured data of Comments and Posts for further use. Setup Facebook Graph API: Connect your Access Token with the required permissions (pages_read_engagement, pages_read_user_content). Workflow: Set the Page ID and the number of posts to fetch in the "Set Number of Latest Posts to Fetch" node.

Pre-Conditions A Facebook Developer account with an active app. Basic understanding of n8n workflows. Access to a database (optional, for storing tokens). Setup Webhook Activation: Configure the Webhook to receive user requests and process input data. Ensure the Webhook URL is correctly set in your Facebook App settings. Short-Lived Token Retrieval: Use Facebook OAuth to fetch a short-lived token from the authorization code. Long-Lived Token Conversion: Convert the short-lived token into a long-lived token (valid for ~60 days). Page Token Retrieval: Follow the provided instructions to retrieve Page Tokens for posting on managed Facebook Pages. Customizable Scopes: Edit the correctScopes array to include or exclude permissions as needed. Optional Database Storage: Extend the workflow to save tokens to a database instead of displaying them on-screen. Step-by-Step Instructions: Detailed guidance is provided via sticky notes for activating the app, configuring Webhook, and editing parameters like fb_redirect_uri, app_id, and app_secret. Who the Template is For Developers**: Integrating Facebook APIs into their applications. Social Media Managers**: Automating posting and engagement on Facebook Pages. n8n Users**: Looking for a ready-to-use workflow for Facebook Token management. Primary Use Automates Facebook Token retrieval and management. Supports posting to Facebook Pages via Page Tokens. Easily customizable and extendable for specific requirements.

Use Case Generate accurate search volume data for SEO keyword research: You have a list of potential keywords to target for your website SEO but don't know their actual search volume You need historical data to identify seasonal trends in keyword popularity You want to assess keyword difficulty to prioritize your content strategy You need data-driven insights for planning your SEO campaigns What this Workflow Does The workflow connects to Google's Keyword Planner API to retrieve keyword metrics for your SEO research: Fetches monthly search volume for each keyword Provides historical trends data for the past 12 months Calculates keyword difficulty scores Delivers competition metrics from Google Ads Setup Fill the Set 20 Keywords with up to 20 Keywords of your choosing in an array e.g. ["keyword 1", "keyword 2",...] Create a Google Ads API account and add credentials to Get Search Data node Replace the Connect to your own database with your own database for the output How to Adjust it to Your Needs Change the Set 20 Keywords node input to a source of your choosing e.g. Airtable database with 20 keywords Connect to output source of your choosing More templates and n8n workflows >>> @simonscrapes

Use Case Automatically responding to X (formerly Twitter) posts can help you engage with potential customers at scale, saving time while maintaining a personal touch. What This Automation Does This automation replies to specified X posts using the following input parameters: airtop_profile: The name of your Airtop Profile connected to X. thread_url: The URL of the X post to reply to. Example reply_text: The message you want to post as a reply. How It Works Creates a browser session using Airtop. Navigates to the specified X post. Types and submits the reply text. Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to X (requires one-time login). Next Steps Combine with X Monitoring**: Use this with the X monitoring automation to create a fully automated engagement pipeline. Extend to Other Platforms**: Adapt the automation for use on LinkedIn, Reddit, or any web community. Read more about this Airtop Automation.

🔍 This n8n workflow integrates Tavily's search and extract APIs with AI summarization capabilities to process web content efficiently. Quick Setup Get your Tavily API key from https://app.tavily.com/home Replace tvly-YOUR_API_KEY in the "Tavily API Key" node Connect your OpenAI credentials to the "OpenAI Chat Model" node Deploy the workflow and start the chat trigger Core Features Search & Extract 🎯 Intelligent web searching with relevance filtering Automated content extraction from top results AI-powered content summarization in markdown format User Interaction 💬 Chat-based search topic input Real-time processing pipeline Structured markdown output The workflow demonstrates practical implementation of Tavily's API endpoints while handling the complete process from search to summarization in a single automated pipeline.

Use Case When trying to maximize your outreach, website visitors are often an overlooked source of qualified new leads. This workflow allows your to track and enrich new website visitors and saves them to a Google Sheet once they meet a pre-defined criteria. What this workflow does This workflow fires once a day and gets all your leads saved in Leadfeeder. It then takes the leads that meet a pre-defined engagement criteria, e.g. that they visited your site 3 times, and enriches them additionally with Clearbit. From there it filters the leads again by a criteria on the company, e.g. a minimum employee count, and saves matching leads into a Google Sheet document. Setup Add your Leedfeeder credentials. The name should be Authorization and the value Token token=yourapitoken. You can find your token via Settings -> Personal -> API-Token Add your Google Sheet credentials Save the Leedfeeder account names you want to use in the Setup node Copy the Google Sheets Template and add its URL to the Setup node How to adjust this to your needs Adjust and/or remove the engagement and company criteria Add more ways to enrich a company Potential ideas to enhance the use of this workflow Automatically reach out to users that meet the criteria / that get added to the sheet Create a workflow that finds the right employee in companies that are identified by this workflow

Why use this You need to delete (many) posts on a WordPress website and also delete the featured image associated with each post. Hours of rote work cut into a fraction with this automation. How it works set your wordpress URL in the manual trigger node set your WP post search parameters (WP API returns 10 posts by default; you could also set up pagination for scaling this automation beyond 10 posts per execution) decide (and build) your filter/approval process What you can expect this automation is set up to run the 10 oldest pending posts, with oldest first if you remove the 'Filter' node from the workflow, after each run, another 10 posts will be returned from WP Notes on Filter/Approval This is arbitrary and depends on your own use case. Maybe you have an editor who needs to approve the post deletion. You might want to get approval by email, slack msg or ticketing system. Or maybe you just want to monitor the process and spare specific posts from deletion. I used the Filter node to only grab the first item (itemIndex < 1) which in this case was the oldest pending post. This could also be expanded to two separate workflows: One triggered when a pending post is created that sends an approval request A second triggered by the approval/rejection that either publishes or deletes the post, depending on the approval result This would require another HTTP request, similar to the DELETE post request, that instead publishes the post.

Who this is for? Google SERP Tracker + Trends and Recommendations is an AI-powered n8n workflow that extracts Google search results via Bright Data, parses them into structured JSON using Google Gemini, and generates actionable recommendations and search trends. It outputs CSV reports and sends real-time Webhook notifications. This workflow is ideal for: SEO Agencies needing automated rank & trend tracking Growth Marketers seeking daily/weekly search-based insights Product Teams monitoring brand or competitor visibility Market Researchers performing search behavior analysis No-code Builders automating search intelligence workflows What problem is this workflow solving? Traditional tracking of search engine rankings and search trends is often fragmented and manual. Analyzing SERP changes and trends requires: Manual extraction or using unstable scrapers Unstructured or cluttered HTML data Lack of actionable insights or recommendations This workflow solves the problem by: Automating real-time Google SERP data extraction using Bright Data Structuring unstructured search data using Google Gemini LLM Generating actionable recommendations and trends Exporting both CSV reports automatically to disk for downstream use Notifying external systems via Webhook What this workflow does Accepts search input, zone name, and webhook notification URL Uses Bright Data to extract Google Search Results Uses Google Gemini LLM to parse the SERP data into structured JSON Loops over structured results to: Extract recommendations Extract trends Saves both as .csv files (example below): Google_SERP_Recommendations_Response_2025-06-10T23-01-50-650Z.csv Google_SERP_Trends_Response_2025-06-10T23-01-38-915Z.csv Sends a Webhook with the summary or file reference LLM Usage Google Gemini LLM handles: Parsing Google Search HTML into structured JSON Summarizing recommendation data Deriving trends from the extracted SERP metadata Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. A Google Gemini API key (or access through Vertex AI or proxy). Update the Set input fields with the search criteria, Bright Data Zone name, Webhook notification URL. How to customize this workflow to your needs Input Customization Set your target keyword/phrase in the search field Add your webhook_notification_url for external triggers or notifications SERP Source You can extend the Bright Data search logic to include other engines like Bing or DuckDuckGo. Output Format Edit the .csv structure in the Convert to File nodes if you want to include/exclude specific columns. LLM Prompt Tuning The Gemini LLM prompt inside the Recommendation or Trends extractor nodes can be fine-tuned for domain-specific insight (e.g., SEO vs eCommerce focus).