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 ENV_MAX_POSTS_PER_HASHTAG recent posts. Get Random Post selects one; duplicate checker ensures it hasn’t been liked before (SharePoint CSV). Builds instagram_posts_to_like.csv, uploads to SharePoint, then launches the Auto-like Agent which likes the post. Post URL is appended to instagram_posts_already_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: • instagram_session_cookies.txt – one cookie per line. • instagram_posts_already_liked.csv with header postUrl. Adjust Set ENV Variables to change max posts per scrape.
Tags
Related workflows
See all AI Automation→Generate executive decision briefings from APIs with OpenAI and Google Sheets
Quick overview This workflow runs daily or via an on-demand webhook to pull financial metrics, operational KPIs, and market quotes via HTTP APIs, then uses OpenAI to detect anomalies and generate an executive briefing that is POSTed to a dashboard endpoint and logged to Google Sheets. How it works Runs on a daily schedule or receives a POST request via a webhook to start an executive briefing run with a configurable lookback period. Fetches financial metrics, operational KPIs, and market data in parallel from three HTTP API endpoints and continues even if one source fails. Merges and normalizes the three datasets into a single snapshot, marking missing sources as unavailable so downstream steps keep a consistent structure. Uses OpenAI to analyze the snapshot for anomalies, unusual trends, and data gaps, returning a severity-scored findings JSON. Uses OpenAI again to turn the anomaly findings and raw metrics into a structured executive briefing with a health score, risks, opportunities, and recommended actions. Formats a final JSON payload and delivers it by POSTing to your dashboard endpoint and appending a summary row to a Google Sheets tracker. If the run was triggered by the web
AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
Manage Google and Trustpilot reviews with OpenAI and Slack
Quick overview This workflow runs hourly to fetch new Google Business Profile and Trustpilot reviews, deduplicates them, uses OpenAI via a LangChain agent to draft sentiment-aware replies, escalates negative reviews in Slack, and routes positive replies to Slack for approval before posting the reply back to Trustpilot. How it works Runs every hour on a schedule. Fetches the latest reviews from the Google Business Profile API and the Trustpilot API and combines the results. Deduplicates reviews by tracking previously seen review IDs in workflow static data and stops if there are no new reviews. Processes each new review and uses OpenAI (via a LangChain agent) to generate structured JSON containing sentiment, a draft reply, and an optional suggested resolution. Sends negative reviews to a Slack channel for the owner along with the suggested resolution. Sends positive draft replies to Slack for one-tap approval (with a 24-hour timeout) and, if approved, publishes the reply to the Trustpilot API. Sends a Slack alert to the ops channel if the workflow errors. Setup Configure authentication and replace placeholders for the Google Business Profile reviews endpoint (account and location) i