HTTP Request workflows
458 results — all source-linked n8n references
Route procurement helpdesk tickets from Gmail with Groq and Slack
Quick Overview This workflow monitors a Gmail inbox for procurement requests, uses Groq (Llama 3.1) to classify and route each ticket with SLA logic, escalates high-risk items to Slack, creates a ticket via HTTP, sends an auto-reply from Gmail, and logs the full record to Google Sheets. How it works Triggers every minute when a new email arrives in a Gmail inbox. Extracts the sender, subject, body, timestamps, and Gmail thread/message IDs, and generates a procurement ticket ID. Looks up the email thread ID in Google Sheets to identify whether the request already exists. Uses Groq (Llama 3.1) to classify the request (category, urgency, sentiment, risk, team) and applies routing rules to set SLA deadlines, queues, and escalation flags. If escalation is required, posts a detailed alert to a Slack channel and creates an escalated ticket via an HTTP request; otherwise, creates a standard ticket via an HTTP request. Generates a short agent-facing status summary with Groq, emails the customer an acknowledgement and suggested reply via Gmail, and appends the full ticket and AI outputs to Google Sheets. Setup Connect your Gmail OAuth2 credential for both the inbox trigger and the customer a
Detect early payment invoice opportunities with Groq and Google Sheets
Quick Overview This workflow runs daily to fetch invoice data from an HTTP endpoint, calculate early-payment savings and annualized ROI, and use Groq (Llama 3.3) to prioritize eligible discounts. It logs eligible and expired invoices to Google Sheets and emails a digest of HIGH-priority recommendations via Gmail. How it works Runs every day at 9:00 to start an invoice scan. Fetches invoice records from an external HTTP API endpoint. Calculates potential savings, days saved by paying early, annualized ROI, and whether each invoice is still eligible before the discount deadline. Routes eligible invoices to Groq (Llama 3.3) to return a JSON decision with a YES/NO recommendation, HIGH/MEDIUM/LOW priority, and a short reason, then normalizes the AI response. Appends eligible invoice evaluations (including ROI, savings, priority, recommendation, and reason) to a Google Sheets log. Filters for invoices marked YES and HIGH priority, aggregates them into a daily batch, and emails a plain-text digest to the finance team via Gmail. Marks ineligible invoices as expired with a skip reason and appends them to a separate Google Sheets audit log. Setup Add a Groq API credential and ensure the sele
Triage supplier capacity risk with Groq, Gmail, Slack, and Google Sheets
Quick overview This workflow runs daily to pull supplier performance data from an HTTP endpoint, calculate fulfillment and delay risk metrics, use Groq (Llama 3.3) to classify supplier risk and generate mitigation actions, then notify via Gmail and Slack and log outcomes to Google Sheets. How it works Runs every day at the scheduled time. Fetches supplier performance data from an HTTP API and stops if the supplier has no orders. Normalizes the supplier fields and calculates fulfillment rate, delay, rule-based flags, and a risk score. Sends the metrics to Groq (Llama 3.3) to classify risk (Low/Medium/High) with a reason and confidence, then merges the AI result with the computed metrics (falling back to the rule-based classification if parsing fails). If the AI risk is Medium, Groq generates three mitigation actions and the workflow fetches backup supplier options from an HTTP API, then combines both into a single alert payload. Sends the mitigation actions by Gmail email and Slack message, then appends a “high risk” audit row to Google Sheets. If the AI risk is not Medium, appends a “no alert sent” audit row to Google Sheets with the assessed risk details. Setup Add Groq API creden
Verify loan documents and score eligibility with Claude and Google Sheets
Quick overview This workflow receives loan applications via webhook, uses Anthropic Claude to verify document text and generate an underwriting recommendation, calculates an explainable risk score in code, logs each application to Google Sheets, and sends decision emails through SendGrid before returning a JSON response. How it works Receives a loan application via a POST webhook, including applicant details and extracted text from ID, income proof, and bank statement documents. Uses Anthropic Claude to extract key fields from the documents and cross-checks them against the applicant’s declared name, employer, and income to produce a verification score and inconsistency list. Stops early and returns a “Documents Insufficient” webhook response when the verification score is below the threshold. Calculates verified income, estimated monthly installment, debt-to-income and loan-to-income ratios, and a weighted 0–100 risk score and tier from credit score, ratios, employment tenure, bank health, and document consistency. Waits briefly, then uses Anthropic Claude to generate an eligibility recommendation (Approve, Conditional Approval, Manual Review, or Decline) with reasoning, condition
Transcribe and summarize Twilio calls with Smallest.ai, Gemini, Slack, and GoHighLevel
Quick Overview This workflow listens for completed Twilio call recordings, downloads and transcribes the audio with Smallest.ai, summarizes the transcript with Google Gemini, then notifies a Slack user and creates a new opportunity in GoHighLevel. How it works Triggers when Twilio Voice Insights reports a call summary as complete. Downloads the call recording audio from Twilio using the provided recording URL. Sends the audio file to Smallest.ai to generate a speech-to-text transcription. Uses a Google Gemini-powered AI agent to produce a short call summary, caller sentiment, and a suggested next step from the transcript and call metadata. Sends the generated summary to a specified Slack user. Creates a new opportunity in GoHighLevel that includes the caller number and AI summary. Setup Connect your Twilio credentials and ensure Twilio Voice Insights call summary events are enabled for your account. Add your Smallest.ai API credentials for the transcription step. Configure Google Gemini credentials in the LangChain Google Gemini chat model used by the AI agent. Connect your Slack credentials and set the target user (or change to a channel) for notifications. Connect your GoHighLeve
WSend Calendly meeting prep briefs with Gmail, Notion, OpenAI and Sheets
Quick Overview This workflow monitors Gmail for Calendly “New Event” emails, extracts meeting details with OpenAI, enriches the invitee with Notion CRM data, Google Sheets STR records, and SerpApi building research, then generates and schedules a meeting-prep brief email to send 30 minutes before the meeting. How it works Triggers every minute when a new Gmail message arrives and continues only if it is a Calendly notification for a new event. Uses OpenAI to extract the invitee email and meeting date/time from the email and calculates a send time 30 minutes before the meeting. Looks up the lead in a Notion database by invitee email and pulls building research via SerpApi, then uses OpenAI to extract building details from the AI Overview results. Loads STR registration data from Google Sheets and matches it to the building address to flag whether the property appears in STR records. Searches recent Gmail history in two accounts for messages involving the lead’s email address and checks whether any history exists. If email history exists, uses OpenAI to summarize the relationship and generate a concise meeting brief, then formats it as an HTML email. If no email history exists, uses
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Turn LinkedIn post reactions into AI content ideas with OpenAI and Google Sheets
Quick overview This workflow runs daily to fetch your recent LinkedIn post reactions via a RapidAPI LinkedIn endpoint, uses OpenAI to turn each reacted post into a structured original content idea, and appends or updates the results in a Google Sheets idea vault without duplicates. How it works Runs every day at 08:00 using a schedule trigger. Loads configurable settings like your LinkedIn username, reaction type filter, recency window, max posts to analyze, OpenAI model, and output language. Calls the linkedin-api8 RapidAPI endpoint to retrieve posts you recently reacted to and splits the response into individual reaction items. Filters reactions to keep only the selected reaction type (or all when blank) and posts newer than the configured number of days. Limits the number of reactions sent for analysis to control cost. Sends each source post (author, reaction, text, and URL) to OpenAI to generate a structured content idea (category, angle, hook, takeaway, format, and hashtags). Saves each idea to Google Sheets using an upsert that matches on Post URL to avoid duplicate rows. Setup Create a RapidAPI subscription for linkedin-api8 and add an HTTP Header Auth credential that sends
Analyze YouTube comments with OpenAI, Google Sheets, and Gmail
Quick overview This workflow monitors a Google Sheets list of YouTube video IDs, fetches video details and top comments from the YouTube Data API, analyzes the comments with OpenAI into structured sentiment and themes, emails an HTML report via Gmail, and writes the results back to Google Sheets. How it works Triggers every minute when a row in Google Sheets is added or updated. Reads the video ID and status from the row and continues only if the status is set to “Pending”. Calls the YouTube Data API to fetch the video’s metadata and the top comment threads for that video. Flattens the comment threads, calculates basic stats (comment count and average likes), and compiles a limited comment text block for analysis. If comments exist, sends the compiled comments and video title to OpenAI to generate a structured analysis (sentiment score, sentiment breakdown, themes, questions, feedback, insights, and summary). Builds an HTML email report from the structured results, sends it to the configured recipient with Gmail, and updates the Google Sheet row with the analysis fields; if no comments exist, marks the row as “No comments”. Setup Create or duplicate a Google Sheet with at least “Vi
Audit landing page CRO and log results with OpenAI and Data Tables
Quick overview This workflow collects a landing page URL, scrapes its HTML, and uses OpenAI to generate a structured conversion-rate-optimization (CRO) audit with scores and prioritized tips, then renders a styled report in the browser and logs each audit to an n8n Data Table. How it works Presents an n8n Form where the user submits a landing page URL. Fetches the landing page HTML via an HTTP request with retries, and routes to an error page if the URL can’t be retrieved. Sends the scraped HTML and URL to OpenAI to produce a CRO audit including an overall score, category scores, a written roast, and a ranked list of optimization tips. Uses a structured output parser with an OpenAI “fixer” model to validate and auto-correct the AI response into the required JSON schema. Builds a styled HTML report from the structured audit results. Logs the audit metadata (URL, score, verdict, summary, language, timestamp) to an n8n Data Table and displays the report back in the user’s browser. Setup Add an OpenAI API credential and select it for both the main OpenAI model and the output-fixer model. Create or select an n8n Data Table (for example, “CRO Audit Log”) and map the columns used for url,
CAnswer WooCommerce order and DHL tracking questions with GPT-4 chat
Quick overview This workflow serves a demo web page with an n8n chat widget and runs an OpenAI-powered support agent that looks up WooCommerce orders and DHL tracking details by calling the same workflow as a tool. How it works Serves a demo HTML page via a webhook that embeds the n8n Chat widget configured to start a chat session. Triggers a new conversation when the chat widget connects and provides a customer email (mocked in this template) as session metadata. Uses an OpenAI (GPT-4) chat model with short-term memory to answer order-related questions and decide when to fetch live order data. Calls the same workflow as a tool with the customer email (and optional comma-separated order IDs) to retrieve matching WooCommerce orders. Looks up the WooCommerce customer by email, fetches their orders, and extracts shipment tracking metadata from each order. For orders with DHL tracking numbers, queries the DHL API for current shipment status, then merges tracking results back into the order data. Returns a JSON response containing the customer’s orders and any available DHL tracking details to the agent for use in the chat reply. Setup Add a WooCommerce API credential and update the sto
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Summarize Zoom meetings and create follow-ups with OpenAI, ClickUp, and Outlook
Quick overview This workflow pulls the transcript and participant list from a recent Zoom meeting, uses OpenAI to generate formal meeting minutes, emails the summary via SMTP, and runs an AI agent that creates ClickUp tasks and (when details exist) schedules a follow-up meeting in Microsoft Outlook Calendar. How it works Starts when you manually run the workflow. Fetches your scheduled Zoom meetings and keeps only those that started within the last 24 hours. Requests the meeting recording files from Zoom, stops with an error if no transcript is available, then extracts the transcript download URL. Downloads the Zoom transcript file, extracts its text, and reformats it into clean, readable dialogue. Pulls the Zoom meeting participant list (including emails) and sends the transcript and participants to OpenAI to generate structured meeting minutes. Formats the minutes into an HTML email and sends the summary via SMTP to a participant email address. Uses an OpenAI-powered agent to extract action items and follow-up details from the same transcript, then creates tasks in ClickUp and creates a follow-up event in Microsoft Outlook Calendar when scheduling information is present. Setup Ad
WSend weekly blended ad performance reports with Meta Ads, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am, pulls last-7-days performance data from the Meta Ads API, Google Ads API, and Google Analytics 4, calculates blended KPIs, uses OpenAI to generate a client-friendly insight summary, and delivers an HTML report by Gmail while posting status update to Slack. How it works Runs every Monday at 8am on a schedule trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights endpoint. Fetches the last 7 days of campaign cost, clicks, and conversions from the Google Ads API using a streamed search query. Fetches the last 7 days of conversions and revenue by default channel group from the Google Analytics 4 Data API. Combines the three datasets and calculates blended totals for spend, conversions, revenue, and ROAS. Sends the blended metrics to OpenAI to generate a 3–4 sentence plain-language weekly performance summary. Builds a simple HTML report and sends it to the client via Gmail while posting a short “report sent” summary to a Slack channel. If the workflow execution fails, posts the error message to an ops Slack channel. Setup Add credentials and replace the placeholders for your Meta Ads token and ad
Extract and validate invoice data from Google Drive using OCR.Space, Gemini, and Google Sheets
Quick overview This workflow monitors a Google Drive folder for newly uploaded invoice files, extracts text with OCR.Space, uses Google Gemini to convert the OCR text into structured invoice fields, validates required values, then stores results in Google Sheets and sends Gmail notifications for success or manual review. How it works Triggers when a new file is created in a specified Google Drive folder. Downloads the uploaded invoice file from Google Drive and checks that the MIME type is PDF, JPG, JPEG, or PNG. Sends the file to the OCR.Space API to extract the invoice text and stops if OCR reports a processing error. Uses Google Gemini to convert the OCR text into structured JSON containing supplier, invoice metadata, amounts, currency, and line items. Validates and normalizes the extracted fields, flags missing required values, and marks the record for manual review when needed. If manual review is required, sends a Gmail alert listing missing fields; otherwise, appends key invoice fields to Google Sheets and sends a Gmail confirmation email. Setup Connect Google Drive OAuth2 credentials and set the folder ID to watch for invoice uploads. Provide an OCR.Space API key and ensure
CWRoute insurance quote leads with OpenAI, Airtable, Sheets, Teams, Slack and Twilio
Quick overview This workflow receives insurance quote submissions via a webhook, normalizes and deduplicates them against Airtable and/or Google Sheets, uses OpenAI to score and classify the lead, then routes hot/warm leads to Microsoft Teams and/or Slack (plus Twilio SMS for hot leads) and logs the quote. How it works Receives an insurance quote request through a webhook endpoint. Applies configurable settings (log destination, notification channels, thresholds) and normalizes the incoming form payload into a standard quote format. Checks Airtable and/or Google Sheets for recent matching email/phone/hash entries to detect duplicate submissions. If the quote is new and has contact details, sends the quote data to OpenAI to generate a lead score, priority, underwriting flags, missing info, and recommended next steps. Routes the quote as hot, warm, or cold based on the score/priority and prepares formatted alert messages for Microsoft Teams and Slack. Posts hot/warm alerts to Microsoft Teams and/or Slack, and sends a Twilio SMS to an agent for hot leads. Creates a quote log record in Airtable and/or appends a row to Google Sheets, then returns a JSON response with logging and notific
Extract Twilio voice donation details with Groq, Gemini, and Google Sheets
Quick overview This workflow receives Twilio call recording callbacks, transcribes the audio with Groq Whisper, uses Google Gemini/Groq LLMs to extract structured donation details, and appends the results (with transcript and review flag) to Google Sheets. How it works Receives a Twilio Recording Status Callback webhook and immediately responds with TwiML (``). Captures call metadata (CallSid, caller number, recording URL/SID, and duration) and continues only if the recording exists and is at least 2 seconds long. Waits briefly for Twilio to finalize the media, then downloads the recording MP3 using Twilio HTTP Basic Auth. Sends the audio file to Groq’s Whisper transcription endpoint to generate a text transcript. Uses a LangChain prompt with Google Gemini and Groq chat models to extract donation amount, fee (if mentioned), beneficiary name, currency, a needs-review flag, and a short summary from the transcript. Parses the model output as JSON and falls back to an error summary with needs_review=yes if parsing fails. Checks Google Sheets for an existing row matching the CallSid/RecordingUrl and, if not found, appends a new row with the extracted fields, transcript, and call details
Generate daily auto-service AI videos and post them with OpenAI, Perplexity, AtlasCloud, and Blotato
Quick overview This workflow runs daily (or manually) to research an auto-service topic with Perplexity, generate a caption and text-to-video prompt with OpenAI, render an AI video via AtlasCloud, then publish it to TikTok, YouTube, Instagram, and Facebook through Blotato while sending a Telegram preview. How it works Runs every morning on a schedule (or starts via a manual trigger). Loads your business settings (name, topic, language, video format, and CTA) from a central configuration. Uses Perplexity web research plus an OpenAI chat model to produce a structured caption, hashtags, and a cinematic text-to-video prompt. Sends the prompt to AtlasCloud to generate a short vertical video and waits before polling AtlasCloud for the render status. Repeats the wait-and-check loop until AtlasCloud reports the video render as completed. Prepares the final caption and video URL, then publishes the video to TikTok, YouTube, Instagram Reels, and Facebook Reels via Blotato and sends a Telegram message with the post preview and video link. Setup Add credentials for OpenAI, Perplexity, AtlasCloud (HTTP Header Auth), Blotato, and Telegram. Update the Configuration values (business name, topic, C
Create AI product video ad Shorts from Telegram photos with OpenAI and AtlasCloud
Quick overview This workflow takes a product photo sent via Telegram, uses OpenAI Vision to describe it and OpenAI to write a short-form video ad prompt, generates a vertical video via AtlasCloud, then (after two approvals in Telegram) publishes the Short to YouTube via Blotato. How it works Triggers when a user sends a product photo (optionally with a caption/campaign) to a Telegram bot. Downloads the image from Telegram and uses OpenAI Vision to extract an advertising-focused product description. Uses OpenAI to generate a single cinematic text-to-video prompt plus a YouTube Shorts title and description. Sends the proposed prompt to Telegram and waits for your approval before proceeding. If approved, requests video generation from AtlasCloud and polls the render status until the video is completed. Sends the generated video back to Telegram for preview and waits for a second approval to publish. If approved, publishes the video to YouTube as an unlisted Short via Blotato and notifies you in Telegram (otherwise it stops and sends a decline message). Setup Create and connect a Telegram bot credential, then start a chat with the bot so it can receive photos and send approval prompts.
WSend weekly blended ad performance reports with Meta, Google Ads, GA4 and OpenAI
Quick overview This workflow runs every Monday at 8am to pull the last 7 days of performance from Meta Ads, Google Ads, and GA4, calculate blended KPIs, generate an OpenAI-powered narrative summary, email an HTML report via Gmail, and post an internal update (and errors) to Slack. How it works Runs every Monday at 8am on a scheduled trigger. Fetches the last 7 days of spend and engagement metrics from the Meta Ads Insights API, campaign cost and conversion metrics from the Google Ads API, and conversions and revenue by channel from the GA4 Reporting API. Combines the three datasets and calculates blended KPIs including total spend, total conversions, total revenue, and ROAS. Sends the computed metrics to an OpenAI chat model to generate a 3–4 sentence client-friendly performance summary with one risk and one recommendation. Builds a simple HTML report containing the KPIs and AI summary. Emails the HTML report to the client via Gmail and posts a brief confirmation with spend and ROAS to a Slack channel. If the workflow fails, posts an error alert message to an ops Slack channel. Setup Configure authentication for the HTTP requests to Meta Ads (access token), Google Ads (OAuth/access
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
WHandle WhatsApp support chats with OpenRouter, Pinecone, and Gemini
Quick overview This template implements a WhatsApp support suite that logs inbound events to a dashboard API, routes conversations through an OpenRouter-powered AI agent with Pinecone RAG and memory, exposes a webhook for human outbound replies, and provides a webhook to summarize recent chats for handoff. How it works Triggers on WhatsApp Cloud API events and routes status updates (sent/delivered/read) to a dashboard API endpoint for storage. For inbound messages, looks up the contact in the dashboard API and normalizes the message into a consistent schema (sender, type, timestamp, and best-effort content). If the message contains media (image/video/audio/document), fetches the WhatsApp media URL, downloads the file, uploads it to the dashboard’s media endpoint, and attaches the resulting media URL and MIME type. Stores inbound messages and reactions in the dashboard API, then checks via the cases endpoint whether the sender already has an open case. If the inbound message is text and no open case is found, queries Pinecone as a tool (using Google Gemini embeddings), uses an OpenRouter chat model with conversation memory to draft a reply or create a new case via the dashboard API,
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
Create TikTok carousel posts with Upload Post, Google Sheets, Gemini, GPT-4.1
Quick overview This workflow runs daily to pull TikTok post and profile analytics from Upload Post, updates a Google Sheets performance log, uses Google Gemini and OpenAI to generate a new carousel concept and caption, creates four images via fal.ai, publishes to TikTok, and updates a persistent “Agent Skill” sheet. How it works Runs on a daily schedule (or manually) and loads product, Upload Post, and Google Sheets configuration values. Reads the Google Sheets “Performance Log,” selects posts missing stats or posted recently, fetches TikTok post analytics from the Upload Post API, and writes updated metrics back to the sheet. Aggregates the refreshed history, fetches TikTok profile analytics from Upload Post, reads the “Agent Skill” sheet, and compiles a single context summary. Uses Google Gemini (via a structured JSON output) to generate a TikTok carousel plan including caption, strategy notes, four slide prompts, hashtags, and an engagement question. Sends the four prompts to fal.ai to generate four 9:16 PNG carousel images and collects their hosted image URLs. Uses OpenAI (GPT-4.1) to write a short TikTok photo-post description, publishes the carousel to TikTok via Upload Post
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Post TikTok, YouTube Shorts and Instagram Reels with Airtable, OpenAI and Google
Quick Overview This workflow runs on a schedule, pulls the next publish-ready video from Airtable, uses OpenAI, Google Gemini, and CloudConvert to generate a transcript, title, description, tags, and hashtags, then uploads to YouTube Shorts, posts an Instagram Reel via Meta Graph API, and queues TikTok publishing via Google Sheets. How it works Runs on a schedule (or manually) and waits a random number of minutes to stagger posting. Searches Airtable for content marked Publish = true and Status = “In Publish Queue”, then selects a single record to process. Downloads the video, converts it to MP3 with CloudConvert, and transcribes the audio with OpenAI. Uses OpenAI and Google Gemini to extract a main keyword, generate a YouTube-optimized title, and create YouTube tags, hashtags, and a full YouTube description, then derives a shorter content-only caption for Instagram/TikTok. Uploads the video to tmpfiles.org to generate a direct file URL and updates the Airtable record with the generated metadata and set Status = “Published”. Uploads the video to YouTube with the generated title, description, and tags. Creates and publishes an Instagram Reel via the Meta (Facebook) Graph API after a
WScore LinkedIn job matches with OpenAI, Google Sheets, Slack, and Apify
Quick overview Runs fetch_cat/linkedin-jobs-scraper daily to collect recent LinkedIn jobs, scores each listing against your candidate profile with OpenAI, saves qualified matches to Google Sheets, and sends the five strongest results to Slack without redelivering previously processed job IDs. How it works Runs on a daily schedule (or via manual trigger) and ensures an n8n Data Table exists to track which LinkedIn job IDs have already been delivered. Runs the FetchCat LinkedIn Jobs Scraper (fetch_cat/linkedin-jobs-scraper) through Apify's API using your configured keywords and location, waits for the Actor run to finish, and downloads up to 10 structured job records from its dataset. Normalizes the scraped job records, caps the list to 10 items, and skips any jobs that already exist in the delivery ledger. Sends the remaining jobs to OpenAI in one structured request to score each job against your candidate profile and filters out results below the minimum score. Appends or updates qualified matches in Google Sheets (upserting by LinkedIn job ID) and formats a Slack message containing the five highest-scoring jobs. Posts the digest to your chosen Slack channel and records the deliver