This workflow provides automated access to the Bytedance Seedream 3 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Bytedance Seedream 3 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model by bytedance for automated processing tasks. Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Bytedance/seedream-3 AI model Bytedance Seedream 3**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Rep
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See all General Automation→Handle Shopify Admin GraphQL requests with error handling and retries
Quick Overview This sub-workflow is called by another n8n workflow to execute Shopify Admin GraphQL queries and mutations via HTTP, adding input validation, detailed error detection (including rate limits), and automatic retries with exponential backoff before returning the final Shopify response. How it works Receives input from a parent workflow execution, including a Shopify GraphQL query, shop API endpoint, and Admin API access token. Validates required inputs, normalizes the shop endpoint, and builds the Shopify Admin GraphQL request payload with variables and API version defaults. Sends the POST request to the Shopify Admin GraphQL endpoint with the X-Shopify-Access-Token header and captures the full HTTP response. Parses the response to detect HTTP/network failures, GraphQL errors, Shopify userErrors, bulk/job failures, and throttle status from Shopify cost extensions. If throttled or encountering retryable server/network errors, waits for the calculated backoff interval and retries the same Shopify GraphQL request up to the configured maximum. If non-retryable errors remain, stops the execution and returns a formatted error object; otherwise returns the Shopify data, rate-l
Generate llms.txt from a website sitemap using forms and HTTP requests
Quick overview This workflow uses an n8n Form and HTTP requests to read a website sitemap, fetch each listed page, extract the page title and meta description, and generate an llms.txt file that you can preview, copy, or download. How it works Receives a form submission with the site name, site description, sitemap URL, and a maximum page limit. Fetches the sitemap XML and, if it is a sitemap index, extracts the child sitemap URLs. Fetches each leaf sitemap and extracts, deduplicates, and caps page URLs while grouping them into sections based on the first URL path segment. Requests each page’s HTML content and continues even if some pages fail to load. Extracts the HTML title and meta description (or falls back to a title derived from the URL), then compiles the results into a sectioned llms.txt markdown file. Renders a completion page that displays the generated llms.txt content and provides Copy and Download actions. Setup Copy the n8n Form URL from the Form Trigger node and open it in your browser (or use the test form in the editor). Submit your site name, sitemap URL, and optionally a site description and max pages value. Upload the downloaded or copied llms.txt file to your w
Audit digital identities with Apify BreachHound and PDF.co
Quick overview This workflow starts from an n8n form submission, runs the BreachHound actor on Apify to discover where an email address is registered, then summarizes the results into an HTML audit report and converts it to a downloadable PDF using PDF.co. How it works Receives an email address (and options) when a user submits the n8n form. Sends the submitted inputs to the BreachHound actor on Apify to check the email across online services. Loads the actor’s results from the Apify dataset. Aggregates the dataset into audit statistics and a list of platforms where the email is found. Generates an HTML report containing the totals and a table of found accounts. Converts the HTML report to a PDF using the PDF.co Convert from HTML API and fetches the generated file via HTTP. Setup Connect an Apify API credential and select/configure the BreachHound actor in the Apify “Run an Actor” step. Create a PDF.co account, replace YOUR_API_KEY_HERE with your PDF.co API key, and keep the HTML-to-PDF endpoint settings as needed. Review the form fields and the default options (for example, the “onlyUsed” and “useResidentialProxy” values) to match the audit behavior you want before activating the