plemeo
Hi, I'm Gerhard from Plemeo. At plemeo.ai, we focus on AI-driven automation and workflow optimization. Our deep expertise with n8n enables us to streamline processes and boost efficiency in software development. This allows us to deliver real, measurable improvements. Curious how plemeo.ai and n8n can benefit your business? Reach out at info@plemeo.de or visit plemeo.ai.
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Auto-like Instagram posts from chosen profiles with Phantombuster + SharePoint
Who’s it for Social-media managers, growth hackers, and brands who want to keep their Instagram accounts active by auto-liking posts from specific profiles they track—without scrolling feeds manually. How it works / What it does Schedule Trigger runs every 2 h. Profile Post Extractor pulls up to 20 recent posts from each Instagram profile in your CSV. Select Cookie rotates Instagram session-cookies. Get Random Post picks one and checks against instagrampostsalready_liked.csv. Builds instagrampoststo_like.csv, uploads to SharePoint. Phantombuster Autolike Agent likes the post. Liked URLs are appended to prevent duplicates. Wait nodes throttle activity (~12 likes/profile/day). How to set up Add credentials: Phantombuster API, SharePoint OAuth2. In SharePoint › “Phantombuster” folder create: • instagramsessioncookies.txt (one per line). • instagrampostsalready_liked.csv (header postUrl). • profiles_instagram.csv with profile URLs. Adjust schedule if needed. Activate the workflow—likes will run automatically. Requirements n8n 1.33+ Phantombuster Growth plan Microsoft 365 SharePoint tenant How to customize Add/remove tracked profiles in profiles_instagram.csv. Adjust throttle by changing Wait intervals. Swap SharePoint for Google Drive/Dropbox if needed.
By plemeoScheduled Instagram auto-liker with Phantombuster, GPT-4o & cookie rotation
Who’s it for Social-media managers and brands that want to keep their Instagram accounts active by automatically liking fresh posts under selected hashtags—hands-free and rate-limited. How it works / What it does Schedule Trigger runs every 2 hours at a specified minute. Select Cookie chooses a rotating Instagram session-cookie (time-slice logic). Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA hashtag. Instagram Hashtag Agent (Phantombuster) scrapes up to ENVMAXPOSTSPERHASHTAG recent posts. Get Random Post selects one; duplicate checker ensures it hasn’t been liked before (SharePoint CSV). Builds instagrampoststo_like.csv, uploads to SharePoint, then launches the Auto-like Agent which likes the post. Post URL is appended to instagrampostsalready_liked.csv to avoid duplicates. Wait nodes throttle launches to ~12 likes per profile daily. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • instagramsessioncookies.txt – one cookie per line. • instagrampostsalready_liked.csv with header postUrl. Adjust Set ENV Variables to change max posts per scrape. Activate the workflow; it will like one post every 2 hours. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Target a different niche: edit hashtag prompt in Generate Random Hashtag. Like more posts: raise ENVMAXPOSTSPERHASHTAG, numberOfPostsPerLaunch, or schedule frequency. Replace SharePoint with Drive/Dropbox by swapping storage nodes.
By plemeoTrack top social media trends with Reddit, Twitter, and GPT-4o to SP/Drive
Who’s it for Content creators, marketers, journalists, and product teams who need a quick, automated snapshot of what the internet is talking about—served as a ready-to-use spreadsheet every morning. How it works / What it does Manual Trigger / Cron starts the flow. Set Config picks today’s date and a topic keyword (default “Artificial Intelligence”). API calls gather trend data: • Reddit API → /r/artificial “hot” posts. • Twitter (X) Trends via our own plemeo endpoint or any other social API. (Add additional sources before the Merge Data node—Instagram, YouTube, TikTok, etc.) Aggregate Content concatenates raw titles; AI Agent (GPT-4o) analyses them and returns the top 5 trends in JSON. Prepare Excel formats each trend into rows; Create Excel turns them into an .xlsx file. Upload the file to SharePoint (swap for Google Drive, Dropbox, S3—just replace the node). How to set up Import the template into n8n (cloud or self-hosted). Create credentials: Reddit OAuth2, OpenAI, and your preferred storage (SharePoint, Drive, etc.). In Set Config choose your default topic; adjust the cron schedule if required. If you’re using Google Drive/Dropbox: delete the SharePoint node and add the corresponding upload node instead. (Optional) Add more APIs—duplicate Merge Data inputs and map their results in Aggregate Content. Save & activate. A spreadsheet called social-media-trends.xls appears in your target folder each run. Requirements n8n 1.33 + Reddit app (OAuth2) OpenAI account One storage credential: SharePoint, Google Drive, Dropbox, or any other supported provider How to customize Change the number of trends: edit the limit in Aggregate Content and the prompt in AI Agent. Want CSV instead of Excel? Swap Create Excel for Spreadsheet File → to File (CSV). Push trends to Slack/Teams: branch after Prepare Excel and add a chat node. Fully serverless? Trigger via webhook instead of manual/cron.
By plemeoAutomated Instagram commenting on selected profiles with GPT-4o and Phantombuster
Who’s it for Influencers and social-media teams who want to comment automatically on posts from selected Instagram profiles—scaling engagement while staying within platform limits. How it works / What it does Schedule Trigger runs every 2 h. Profile Post Extractor fetches up to 20 posts per profile from your CSV. Select Cookie rotates Instagram session-cookies. Get Random Post selects one. Create Comment (GPT-4o) writes ≤150-character reply in your chosen language. Builds instagrampostto_comment.csv, uploads to SharePoint. Phantombuster Autocomment Agent posts it. Logged in instagrampostsalready_commented.csv to prevent repeats. How to set up Same as the auto-liker, but also add instagrampostsalready_commented.csv (header postUrl). Define tracked profiles in profiles_instagram.csv. Configure comment prompt & language in Set ENV Variables. Profile CSV format Your profiles_instagram.csv must contain a header profileUrl and valid Instagram profile URLs. Example: csv profileUrl https://www.instagram.com/brand_account/ https://www.instagram.com/influencer123/
By plemeoAuto-comment on Instagram posts with GPT-4o, Phantombuster, and SharePoint
Who’s it for Social-media teams and influencers who want to grow engagement by automatically posting short, relevant comments on new Instagram posts under rotating hashtags—while staying under platform limits. How it works / What it does Schedule Trigger fires every 2 h at a specified minute. Select Cookie chooses a rotating Instagram session-cookie by time slice. Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA tag. Hashtag Agent (Phantombuster) scrapes up to ENVMAXPOSTSPERHASHTAG recent posts. Get Random Post picks one; Create Comment (GPT-4o) crafts a ≤150-character reply in the chosen language. Builds instagrampostto_comment.csv, uploads to SharePoint, then launches the Auto-comment Agent which posts the reply. Post URL is logged to instagrampostsalready_commented.csv to avoid duplicates. Wait nodes throttle launches to ≈80 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • instagramsessioncookies.txt – one cookie per line. • instagrampostsalready_commented.csv with header postUrl. Edit Set ENV Variables to set default language, prompt, and max posts per scrape. Activate the workflow; it will comment every 2 h. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account (GPT-4o) Microsoft 365 SharePoint tenant How to customize Change tone/length: tweak prompt in Create Comment. Comment more often: raise ENVMAXPOSTSPERHASHTAG, adjust cron, and agent limits. Swap SharePoint for Drive/Dropbox by replacing storage nodes.
By plemeoAuto-generate SEO content from trends with GPT-4o, FAL AI & multi-storage
Who's it for Content creators, SEO specialists, and marketing teams who want to automatically generate SEO-optimized content based on trending topics—complete with AI-generated images, optional videos, and ready-to-publish HTML. How it works / What it does Webhook receives a request with use case and video preferences. Get Trends XLSX downloads a spreadsheet (created by the Social Media Trends workflow) from SharePoint. Select Topic from Trends randomly picks one trending topic from the spreadsheet. AI Agent (GPT-4o) generates bilingual newsletter content about the selected trend. Get Newsletter Template fetches your HTML template; Build Newsletter injects the AI content. Optional creative assets: • Pollinations AI → generates a 1080 × 1350 image. • FAL AI → creates video from the image + Lyria2 audio → merged via FFmpeg. Gmail Approval sends the draft for review; continues only on approval. Upload all files (HTML + JPG + video URL) to your chosen storage provider. How to set up Import the template into n8n (cloud or self-hosted). Create credentials: OpenAI, Microsoft 365 (SharePoint), Gmail, and FAL AI. Upload your HTML newsletter template to SharePoint (see yellow sticky note for required placeholders). Ensure you have a trends spreadsheet (from the Social Media Trends workflow) in your SharePoint folder. Update Configuration Settings with your ENV_* variables. Activate the workflow and POST to the webhook: { "text": "usecase: blog post, include_video: true" }. Requirements n8n 1.33 + OpenAI account Microsoft 365 tenant (SharePoint) Gmail account FAL AI API Key (for video generation) A trends spreadsheet (from the Social Media Trends workflow) How to customize Change storage provider: replace SharePoint upload nodes with Google Drive, Dropbox, or S3. Modify topic selection: edit Select Topic from Trends for different selection logic. Adjust content tone: tweak the prompt in Prepare Newsletter Data. Skip video generation: set include_video: false in the webhook request.
By plemeoBilingual newsletters with GPT-4o, AI images & videos for HubSpot & SP
Who’s it for Marketing, growth, and automation teams that need to ship polished bilingual newsletters—complete with images, optional video, and multi-channel distribution—without writing a line of code. How it works / What it does A Webhook receives a plain-language request (e.g. “Create a newsletter about XYZ and store it in SharePoint”). The Webhook can be changed to another trigger, fr example Manual Trigger. An AI Agent (OpenAI GPT-4o) drafts German & English newsletter copy following a strict JSON schema. SharePoint fetches an HTML template; a Code node injects AI copy into the placeholders. Optional creative assets: Pollinations AI → image (resolution check & frame overlay) FAL AI → short video + Lyria2 audio → merged via FFmpeg API A Gmail Approval step sends the draft to an approver; the flow continues only on “Approve”. Depending on user intent the workflow: Emails the newsletter to HubSpot contacts, and/or Saves HTML (+ JPG/Video URL) to a SharePoint library. How to set up Import the template Open the yellow sticky note and follow the checklist Create credentials for OpenAI, HubSpot (App Token), Microsoft 365, Gmail, and FAL AI. Enter them in n8n Credential Manager (never in the HTTP node). Edit the Configuration Settings Set node with your ENV_* variables. Activate the workflow, copy the production Webhook URL, and trigger it with JSON body { "text": "…" } or with a desired trigger. Requirements OpenAI account Microsoft 365 tenant (SharePoint & Outlook) HubSpot App Token FAL AI API Key (video & audio generation) How to customize Want a different language? Tweak the AI prompt inside AI Agent. Want a different storage provider? Change the SharePoint nodes to Google Drive or Dropbox. Skip video generation: set include_video to false in the incoming prompt. Change the distribution logic by adjusting the WF Result Switch node. Add more channels (e.g. Slack) by inserting additional branches after the Switch and modifying the intent determination at the beginning of the workflow.
By plemeoAuto-like tweets from selected profiles with Phantombuster & SharePoint AI rotation
Who’s it for Growth hackers, community builders, and marketers who want to keep their Twitter (X) accounts active by liking posts from selected profiles automatically. How it works / What it does Schedule Trigger fires hourly. Profile Post Extractor fetches up to 20 tweets for each profile in your CSV. Select Cookie rotates Twitter session-cookies. Get Random Post checks against twitterpostsalready_liked.csv. Builds twitterpoststo_like.csv, uploads to SharePoint. Phantombuster Autolike Agent likes the tweet. Logs the liked URL to avoid duplicates. How to set up Add Phantombuster + SharePoint credentials. In SharePoint “Phantombuster” folder: • twittersessioncookies.txt • twitterpostsalready_liked.csv (header postUrl) • profiles_twitter.csv (list of profiles). Profile CSV format Your profiles_twitter.csv must contain a header profileUrl and direct links to the Twitter profiles. Example: csv profileUrl https://twitter.com/elonmusk https://twitter.com/openai
By plemeoAutomatic Microsoft Outlook attachment storage to OneDrive with Excel logging
📥 Save Email Attachments to OneDrive & Log Them in Excel This workflow watches your Outlook inbox, automatically downloads file attachments (for example invoices), saves them into a specific OneDrive folder, and logs each file name into an Excel table. Optionally, it also posts a Microsoft Teams message to let you know that a new attachment has been processed. --- ✨ What this workflow does Monitors a Microsoft Outlook mailbox for new emails. Fetches all attachments from each incoming message. Processes attachments one by one so every file is handled cleanly. Downloads each attachment as binary data. Uploads the file into a OneDrive folder (looked up by name). Appends a new row with the filename to an Excel table for tracking. Sends a Teams chat notification once an attachment has been uploaded (optional). --- 🧑💼 Who this is for This workflow is ideal for: Finance / accounting teams who receive invoices by email and want them stored centrally. Anyone who wants an “email → OneDrive → Excel log” pipeline without manual downloading and renaming. n8n users who work in a Microsoft 365 environment (Outlook, OneDrive, Excel, Teams). --- ✅ Requirements Before you run the workflow, you’ll need: A Microsoft Outlook account with permissions to read emails and attachments. A OneDrive / SharePoint drive with a target folder (the example uses a folder whose name matches the search in the Get Folder ID node, e.g. Testn8n). An Excel workbook stored in OneDrive with: A worksheet and table already created. A column named Filename (or adjust the Set Filename + Excel node to match your column name). n8n credentials set up for: Microsoft Outlook Microsoft OneDrive Microsoft Excel Microsoft Teams (optional but used in this template) --- 🛠️ Setup steps Import the workflow JSON into your n8n instance. Configure credentials: Set your Outlook, OneDrive, Excel, and Teams credentials on the respective nodes. Adjust the mail trigger (On Mail Received): Optionally add filters (subject, sender, folder) if you only want to process invoices or a specific mailbox/folder. Set the OneDrive folder search (Get Folder ID): Update the query parameter to the exact name of the folder where attachments should be stored. Point the Excel node to your workbook (Append to Excel Log): Use the dropdowns to select your workbook, worksheet and table. Ensure there’s a Filename column (or rename the field in Set Filename to match your actual column). Activate the workflow: Once active, every new email that hits the trigger will have its attachments stored in OneDrive and logged in Excel. --- 🔗 Integrations used Microsoft Outlook – trigger on incoming emails and download attachments. Microsoft OneDrive – search for folders and upload files. Microsoft Excel – append rows to a table in a workbook. Microsoft Teams – send notifications when attachments are processed.
By plemeoAutomatic LinkedIn engagement with AI comments using GPT-4o and Phantombuster
Who’s it for B2B marketers, recruiters, and personal-brand builders who want to spark conversations on LinkedIn by automatically posting short, relevant comments on fresh industry content—while staying under daily limits. How it works / What it does Schedule Trigger fires every hour. Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. LinkedIn Search Agent (Phantombuster) scrapes recent posts. Get Random Post chooses one post and passes its text to Create Comment (GPT-4o) which returns a ≤150-character reply in the chosen language. Builds linkedinpoststo_comment.csv, uploads to SharePoint, and launches the Auto-comment Agent to post the reply. Post URL is logged to linkedinpostsalready_commented.csv to avoid duplicates. Wait nodes throttle launches to ~120 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • linkedinsessioncookies.txt – one cookie per line. • linkedinpostsalready_commented.csv with header postUrl. Edit Set ENV Variables to set default language, comment prompt, company ID, etc. Adjust schedule or comments-per-launch as needed. Activate the workflow; it will run hourly and comment on one new post each launch. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change tone/length: edit the prompt in Create Comment. Comment more often: raise numberOfLinesPerLaunch and schedule frequency. Use Google Drive/Dropbox instead of SharePoint by swapping storage nodes.
By plemeoAuto-like LinkedIn posts with GPT-4o, Phantombuster and SharePoint
Who’s it for Recruiters, B2B marketers, and thought-leadership builders who want to boost their LinkedIn engagement by automatically liking fresh, relevant posts—while staying under LinkedIn’s daily limits. How it works / What it does Schedule Trigger runs hourly at a specified minute. Select Cookie chooses a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. Phantombuster LinkedIn Content Search Agent scrapes recent posts → Get Posts. Get Random Post selects one post, checks it isn’t already liked (SharePoint CSV) and appends the company-ID query param. If a personal LinkedIn Account is used, no company-ID is needed. Creates linkedinpoststo_like.csv, uploads to SharePoint, and provides the URL to Autolike Agent which likes the post. The post URL is added to linkedinpostsalready_liked.csv to avoid duplicates. Wait nodes throttle launches to ≈400 likes/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • linkedinsessioncookies.txt – one cookie per line. • linkedinpostsalready_liked.csv with header postUrl. Update Set ENV Variables with your LinkedIn company ID (ENVCOMPANYID_LINKEDIN). Adjust schedule or likes-per-launch as needed. Activate the workflow; it will run hourly and like one new post per launch. Requirements n8n 1.33 + Phantombuster Growth plan (API access) OpenAI account (GPT-4o) Microsoft 365 SharePoint tenant How to customize Change niche: edit the prompt in Generate Random Search Term. Like more posts: raise numberOfLinesPerLaunch and schedule frequency. Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes.
By plemeoAuto-like Twitter posts with AI hashtags, cookie rotation & SharePoint
Who’s it for Growth hackers, social-media managers, and brand builders who want to keep their Twitter (X) accounts active by automatically liking relevant posts on a set schedule—without manual scrolling. How it works / What it does Schedule Trigger runs every hour at a specified minute. Select Cookie chooses a rotating Twitter session-cookie (to stay under 1 000 likes/day). AI Agent generates a realistic AI/BPA-related hashtag. Phantombuster Hashtag Agent scrapes recent tweets for that hashtag → Get Posts. Get Random Post picks one tweet, checks it isn’t already liked (SharePoint CSV), and uploads a one-row twitterpoststo_like.csv. Phantombuster Autolike Agent receives the CSV link and likes the tweet. The tweet URL is appended to twitterpostsalready_liked.csv to prevent duplicates. How to set up Create credentials: Phantombuster API key, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder add: • twitterpostsalready_liked.csv (header postUrl). • twittersessioncookies.txt – one cookie per line. Adjust schedule if you need a different frequency. Activate the workflow—likes will start automatically. Requirements n8n 1.33+ Phantombuster Growth plan (API access) OpenAI account Microsoft 365 SharePoint tenant How to customize Change hashtag logic: edit the prompt in AI Agent. Increase daily likes: add more cookies or shorten Wait nodes. Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes.
By plemeo