Skip to content
FlowHubFluxonLab
C
General Automationfree

Get Scaleway Server Info with Dynamic Filtering

by Pabloadapted from n8n official workflow galleryUpdated Aug 2026
RequiresCCodeHTTP RequestHTTP Request
Share Post Share
CoCodeSeEdit FieldsSwSwitchCoCode search TagsCoCode search NameCoCode search public_ipCode search pub…CoCode search zoneWeWebhookRTRespond ErrorRTRespond to Webhook1Respond to Webh…RTRespond to Webhook2Respond to Webh…RTRespond to Webhook3Respond to Webh…RTRespond to WebhookRespond to Webh…HRGet Scalway MachinesGet Scalway Mac…SILoop Over ItemsRTRespond to Webhook4Respond to Webh…HRGet scw instance by zoneGet scw instanc…SILoop Over Zone InstanceLoop Over Zone …HRGet scw baremetal by zoneGet scw baremet…SOSplit Out ZONE_INSTANCESplit Out ZONE_…IfIf ZONE_BAREMETAL in ZONE_INSTANCEIf ZONE_BAREMET…1234567891011121314151617181920
1/5
FLOWS
STEPS · 20
Starts on an incoming request

Get Scaleway Server Info with Dynamic Filtering Description This workflow is designed for developers, system administrators, and DevOps engineers who need to retrieve and filter Scaleway server information quickly and efficiently. It gathers data from Scaleway instances and baremetal servers across multiple zones and is ideal for: Quickly identifying servers by tags, names, public IPs, or zones. Automating server status checks in production, staging, or test environments. Integrating Scaleway data into broader monitoring or inventory systems. High-Level Steps Webhook Trigger:** Receives an HTTP POST request (with basic authentication) containing the search criteria (search_by and search). Server Data Collection:** Fetches server data from Scaleway’s API endpoints for both instances and baremetal servers across defined zones. Data Processing:** Aggregates and normalizes the fetched data using a Code node with helper functions. Dynamic Filtering:** Routes data to dedicated filtering routines (by tags, name, public_ip, or zone) based on the input criteria. Response:** Returns the filtered data (or an error message) via a webhook response.

Tags

n8nreference-only
Connects
CCodeWHTTP Request
CategoryGeneral Automation
Triggermanual
Complexitycomplex
Nodes21
AddedApr 16, 2025
CW
free

UGC Video Generation with Wan 2.5 on Replicate

This workflow automatically converts static images into dynamic videos using AI-powered animation. It saves you hours of video editing by transforming product photos, marketing images, or any static visuals into engaging video content perfect for social media and advertising campaigns. Overview This workflow automates the entire image-to-video generation process using the WAN-VIDEO 2.5 model via Replicate API. Simply provide an image URL and a text prompt describing the desired motion, and the workflow handles the video creation, status monitoring, and delivery of your animated content - typically ready in 30-120 seconds. Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Powers the WAN-VIDEO 2.5 AI model for image-to-video generation Status Monitoring**: Automated checking system with intelligent retry logic Error Handling**: Built-in resilience with comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Get Replicate API Key: Sign up at replicate.com and copy your API token Configure API Token: Replace the placeholder in the "Set API Token" node Add Your Image: Update t

by Yaron Been
CW
free

Get Xiaohongshu note details from a keyword with JustOneAPI

Use this n8n workflow template to get Xiaohongshu note details from a keyword with JustOneAPI. Who’s it for This template is for content researchers, creator operations teams, marketing teams, and automation builders who want to turn a Xiaohongshu keyword into a structured list of note details inside n8n. How it works The workflow starts with a single configuration node where you add your JustOneAPI token and the keyword you want to research. It then searches Xiaohongshu notes with the V2 search endpoint, extracts note IDs from the returned results, removes duplicates, and keeps only the first unique note ID by default. After that, it requests note details and outputs a structured note detail record that can be reused in downstream workflows. You can increase maxNotes if you want to retrieve details for more than one unique note ID. How to set up Import the workflow into n8n. Open the Set API Token and Research Inputs node. Add your JustOneAPI token. Replace the placeholder values for keyword and other optional search inputs. Leave maxNotes set to 1 if you want to fetch only the first unique result by default. Run the workflow and review the final output node. Requirements A JustOn

by apisub001
CW
free

Generate and edit images with Havis AI Nano Banana 2

Havis AI - Nano Banana 2 n8n Workflow Summary This n8n workflow submits an image generation job to Havis AI Nano Banana 2, waits for processing, polls task status, and returns result data when the job completes. Who is this for? Creators who want a reusable no-code generation form. Agencies building client-facing AI automation. Developers who want an importable API test workflow. n8n users connecting Havis AI output to storage, Slack, Sheets, Airtable, webhooks, or a CMS. What this workflow does Opens an n8n Form Trigger for Nano Banana 2 inputs. Builds a clean JSON payload and removes empty optional fields. Sends a POST request to https://havis.ai/api/nano-banana-2. Waits 8 seconds, then polls https://havis.ai/api/task/{task_id}. Loops while the task is processing. Returns task ID, status, result URLs, credits used, and submitted payload. Returns a clean error object if the task fails. Setup Import the JSON workflow into n8n. Open the Form Trigger URL. Enter your Havis API key in api_key. Use only the key value; the workflow adds Bearer automatically. Fill in the model inputs and submit. For production, store the API key in n8n credentials or environment variables instead of typin

by Tran Trung Nghia