AI-Driven Social Media Automation System

@kamran2012

This looks like a great fit, I will build your modular n8n workflow — trend analysis via Claude, media generation, Google Sheet approval gate, and multi-platform publishing — all running inside your Docker stack. For the approval loop, I will use an n8n polling trigger on your Sheet so the workflow only fires when a row flips to "Approved," respecting your datetime column for scheduled or immediate posting. Questions: 1) Which n8n version is your Docker stack running? 2) Do you already have API access for Facebook/Instagram/LinkedIn/YouTube, or do I need to walk you through app registration? Looking forward to your response. Best regards, Kamran

@EightVeer

Hi there, We can build this as a modular n8n system with a clear approval gate in Google Sheets, so drafted posts are reviewed before anything is published. Our approach would cover trend and competitor analysis, caption generation, media creation, and the publishing flow across the requested platforms, while keeping credentials in environment variables and the workflow suitable for a self-hosted Docker setup. We would also structure the automation so it can support either immediate posting or scheduled publishing from the Sheet, and we can provide a practical handover guide for swapping APIs and adding accounts. We will keep the scope aligned to the selected tools and confirm the final integration plan before implementation. Best Regards, 8veer

@abdf2010

Hey, I noticed your project, AI-Driven Social Media Automation System and believe I can help. My work in Social Media Marketing has prepared me well for this kind of project. Looking forward to hearing your thoughts.

@chiragardeshna

Hi there, Strong alignment with this project comes from experience building AI automation workflows using n8n, integrating APIs, and creating end-to-end content pipelines. Clear understanding of the requirement to design a modular system for trend analysis, AI content generation (Claude), media creation, approval via Google Sheets, and multi-platform publishing. Hands-on expertise with n8n, Docker, REST APIs, and AI tools (image/video generation, scraping, automation) ensures a scalable and fully automated workflow. Risk is minimized by modular node design, secure API handling via env variables, approval gating to prevent errors, and reliable publishing integrations. Available to start immediately can set up and test a full working pipeline as per acceptance criteria. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@shailender18

Hey! I'm a Full Stack Developer with extensive experience in building scalable and high-performance web and mobile applications. One of my key strengths lies in creating robust workflow automation systems using n8n, which aligns perfectly with your project requirements. Whether it's connecting multiple platforms through automated pipelines or developing secure API-driven applications, I'm well-equipped for the job. In addition to my expertise in automation, I also hold a solid understanding of APIs, including scraping and utilizing affordable yet reliable ones for media creation, such as Stable Diffusion, DALL-E, Runway, Pika, etc. My skills with monitoring trends and competitor data via public endpoints and summarizing it for human review will ensure that you have the right information at your disposal for each post. I believe my skillset coupled with my commitment to delivering production-ready systems will enable me to not only meet but exceed your expectations on this project. I offer one-week support after completion to address any potential edge cases post rollout. Let's join hands to build a system that streamlines your social media presence like never before!

@raiha2

Hi, I’m an Automation Specialist with strong experience building advanced n8n-based AI workflows and multi-platform social media automation systems. I can design and implement your full end-to-end social media agent with modular architecture, clean API integration, and scalable self-hosted deployment in Docker. I’ll structure the workflow into separate modules for trend analysis, competitor research (Claude-powered), AI caption generation, media creation (cost-effective APIs like Stable Diffusion / Runway alternatives), and a Google Sheets approval gate before publishing. Only approved entries will trigger posting to Facebook, Instagram, LinkedIn, and YouTube via official APIs. The system will be fully configurable (scheduling, API swaps, posting rules) with credentials securely stored in environment variables, plus clear documentation and a walkthrough for easy future expansion.

@HusseinAde09

Your social media agent is already mapped in my head, here's how I'd build it. 5 modular workflows in n8n: Trend Analysis, Caption Engine, Media Generation, Approval Gate, Publisher. Each is independent so you can swap any piece without touching the rest. Trends via Google Trends RSS + Apify. Claude summarises the data into a ranked topic brief in under 60 seconds. Images via Flux on Replicate at around $0.003 each. Video via Pika Labs at $0.50 to $1.50 per 15-sec clip. All keys stored in environment variables, fully swappable. Approval gate polls your Google Sheet every 15 minutes. Approved fires the publish node. Reject archives the row. A datetime column handles scheduled vs immediate posting, single toggle. Publishing covers LinkedIn, YouTube, and Facebook/Instagram via Meta Graph API, multiple accounts supported. Deliverables match your list exactly, plus 7 days of post-launch support. Built a similar stack for a content client recently. The approval gate caught 3 near-misses in week one alone. 20-minute call this week and I'll map the full build timeline against your Docker stack. Just reply here and we'll find a time.

@Jafferi12

Routing Claude trend analysis and AI media generation through a Google Sheets approval gate before hitting four different social platforms is the safest way to automate content. I recently built a complex data verification bot that scraped web links read text from images via OCR and securely logged pass fail metrics back to Google Sheets across four different countries in one run. I can apply that same pipeline experience to your self hosted n8n Docker stack. Ill set up the nodes to pull trends feed them to Claude and connect a low cost API like Replicate for Stable Diffusion images and Pika for videos. Once you mark a row as approved in your sheet the workflow will instantly trigger the final publish to your accounts. Ill include a clean setup document showing you exactly how to swap out API keys or adjust posting times later. If you need any tweaks or related work down the line I can handle that too so you dont have to go through the hiring process again. Drop me a message and we can get this rolling.

@bpatidar2793

I understand you want a fully automated n8n based social media agent that handles trend analysis, content generation, approval workflow, and multi platform publishing with flexibility and low cost APIs. The key is building a modular, reliable workflow with human approval control before publishing. I will design n8n pipelines for scraping or API based trend data, use Claude for captions, integrate image and video APIs, and connect Google Sheets for approval gating. I will ensure Docker compatibility, multi account publishing, and scheduling support. You will get clean workflows, documentation, and support for smooth setup and scaling.

@artur1992123

The main challenge isn't just connecting APIs, it's building a reliable AI workflow that actually produces engaging content consistently. I've built n8n automation systems with Claude integration, social media APIs, and AI content generation pipelines. in the last 2 years I've delivered 12+ blockchain/crypto automation projects and multiple AI-powered tools including HubSpot-WhatsApp automation and social monitoring systems. My approach: - n8n workflow with Claude for trend analysis + caption writing - Cost-useful image/video APIs (Leonardo AI - Stability AI, or similar) - Multi-platform publishing (Facebook, Instagram, LinkedIn APIs) - Error handling + retry logic for production reliability I'm offering a competitive rate to build my Freelancer review profile, fast delivery, quality work, symbolic pricing. Check my portfolio for relevant automation + AI projects. https://www.freelancer.com/portfolio-items/11324135 https://www.freelancer.com/portfolio-items/11324133

@tyax07

I am a perfect fit for your project, understanding your need for a clean, professional, user-friendly, and seamless n8n workflow that integrates trend analysis, media generation, and an approval gate within a self-hosted Docker environment. My expertise includes API integration, workflow automation, and media creation using affordable APIs like Stable Diffusion and OpenAI’s tools. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Ty Ax

@targaryen007

Hi, I have worked on automation systems involving APIs, LLMs, and content workflows where modular design and error handling were critical. I would approach this by breaking the system into clear modules: trend ingestion, content generation, media creation, approval gate, and publishing. The Google Sheet approval layer will act as a control point to prevent unwanted publishing. Media APIs will be selected based on cost and reliability, and all keys will be managed securely via environment variables. Publishing flows will support multiple platforms and accounts with proper scheduling flexibility. The entire workflow will be container-ready and designed for easy updates or API swaps later. The goal is a stable, scalable automation pipeline, not just a working demo. Best regards,

@manoval09

You need automated social media content that you control—analyzing trends, writing captions, generating media, and publishing across all platforms only when you approve. I'll build a self-hosted n8n Docker workflow: Claude analyzes trends and competitors, affordable APIs create images/videos, and a Google Sheet approval layer ensures nothing goes live without your sign-off. ₹25000, 7 days. Best regards, Val

@servicedigi

With 6+ years of experience in automation engineering and AI-driven marketing systems, we specialize in building end-to-end content automation pipelines using n8n, LLMs, and media generation APIs for scalable multi-platform publishing. We focus on creating modular, production-ready workflows that are fully self-hosted, API-secure, and easy to extend. How we will build your AI Social Media Automation System: 1. n8n Core Architecture (Docker-Based) • Fully self-hosted n8n workflow inside your Docker stack 2. Trend & Competitor Intelligence • Fetch trending topics via APIs / scraping tools (configurable sources) • Claude-based summarization for trend clustering + insights 3. AI Content Generation Layer • Caption generation using Claude (platform-specific tone adaptation) • Image generation via cost-optimized APIs (Stable Diffusion / DALL·E / alternatives) 4. Approval Workflow (Human-in-the-Loop) • Google Sheet integration with status column (Pending / Approved / Rejected) • Only “Approved” rows trigger publishing nodes Acceptance Flow Guarantee • Pull trending topic → generate caption + image + video → log to Sheet → wait for approval → auto-publish across platforms without errors We focus on building a scalable AI content automation engine that combines trend intelligence, generative AI, and controlled publishing for fully automated yet safe social media operations.

@alexbuilds7

Hi, This is a project I can build end-to-end. Let me walk through how I'd approach it. For the n8n Docker integration, I'd add the n8n service to your existing compose stack with proper volume mounts and environment variable injection. No separate infrastructure needed. Trend and competitor analysis: I'd wire Claude into n8n via HTTP Request nodes hitting the Anthropic API. Claude analyzes scraped competitor content and trending hashtags, then outputs structured caption drafts. For scraping, I'd use a lightweight Python service (Playwright) running as a sidecar container, callable from n8n via webhook. Image generation: Stability AI or Replicate SDXL — both have predictable per-image costs well under $0.05. For video, Runway ML Gen-3 or Kling API depending on your resolution requirements. I'll benchmark both against your budget and recommend before implementation. Google Sheets approval gate: n8n's Google Sheets node polls the sheet on a schedule. Rows marked "Approved" trigger the publish branch; "Rejected" rows get archived. This is the exact pattern I've built before — it's reliable and gives you full editorial control. Publishing: Facebook Graph API, Instagram Basic Display API, LinkedIn API, and YouTube Data API v3. OAuth tokens stored as n8n credentials, refreshed automatically. Deliverables: fully documented n8n workflow JSON, Docker compose additions, Python sidecar for scraping, and a credentials setup guide. Timeline is 21 days at $29,250. I can start immediately. Can we schedule a 30-minute call to confirm your Docker environment and which competitor accounts you want to track?

@azwa04

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided

@amDev95

Hi there, Integrating trend analysis, media generation, and multi-platform posting with a robust approval layer inside n8n’s Docker environment does pose a few tricky challenges, especially coordinating API reliability and real-time data freshness. A recent project where I built a similar content automation pipeline improved publishing speed by 40% and cut manual checks through a Google Sheet approval gate. Connecting trend scraping with affordable APIs like Stable Diffusion for images and Pika for video generation fits well within your budget and quality needs. I will design the workflow to fully run inside your Docker stack, allow toggling of scheduled posting via a Sheet datetime field, and implement secure environment variable management for all API keys within one week. A Google Sheet template wired for approval and a concise guide on swapping APIs and adding accounts will complete the package. How do you envision handling rate limits or API failures across multiple platforms during peak publishing times? Drop me a message and we can talk through the scope - no commitment needed. Best, Atish.M

@HarshAggarwaldev

This system turns n8n into a modular social media engine with human control. It pulls trends from sources like Google Trends and Reddit, structures them with Claude, and generates platform-specific captions plus a short video script. Media is created using cost-efficient APIs like Replicate for images and Pika or Runway for videos. All drafts go to a Google Sheet where you approve or reject posts and optionally set a schedule. Only approved rows trigger publishing to Instagram, Facebook, LinkedIn, and YouTube via official APIs.

@LunevD

Hi, This is an interesting project, and I like the way you’ve already broken the workflow into clear modules. Your setup makes sense for n8n: trend analysis, caption generation, media generation, approval in Google Sheets, and publishing as separate stages. I can help build this in a modular way inside a self-hosted Docker-based n8n setup, with API keys managed through environment variables and the approval step wired so only approved rows move forward. I’m familiar with n8n workflow logic, API integrations, Google Sheets-based process control, webhook/data handling, and AI-related automation. I can help structure the workflow so it stays maintainable and can support either immediate publishing or scheduled posting from a datetime field. For this kind of system, I’d approach it as an MVP-first build: * modular workflow design * trend/topic input and summarisation * caption generation * media generation API integration * Google Sheets approval gate * publishing flow with room to extend platform coverage safely The most important part here is building the workflow cleanly enough that APIs, accounts, and posting logic can be swapped later without rebuilding everything. I’d be glad to discuss the stack, the best low-cost media APIs for your use case, and the cleanest way to implement the approval + publish flow in n8n. Best, Danil