Quick overview Research a Pinterest niche with FetchCat's Pinterest Search Scraper, preserve every source pin in Google Sheets, and use one evidence-controlled OpenAI call to identify recurring themes, underrepresented angles, and five production-ready content briefs without claiming search volume or trend growth. How it works Starts manually with one research niche and one to five exact Pinterest search phrases, plus locale, country, and a configurable result limit. Runs fetch_cat/pinterest-search-scraper through a Cloud-compatible HTTP Request and collects 20 to 500 public pins per search with public detail enrichment enabled. Validates, normalizes, and deduplicates returned pins. It stops before AI or destination writes when fewer than ten usable pins remain. Builds stable Google Sheets rows, deterministic phrase counts, and a bounded evidence packet, then uses one structured gpt-5.4-mini request for analysis. Removes invalid pin citations and rejects any finding that retains no supplied evidence, preventing unsupported recommendations from reaching the destination.
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Verify Japanese invoice registration numbers from Gmail using Gemini, NTA API, Sheets and Slack
Quick Overview This workflow monitors Gmail for unread invoice emails with PDF attachments, extracts invoice details with Google Gemini, verifies Japanese qualified invoice registration numbers against the National Tax Agency (NTA) Invoice Web-API, logs results to Google Sheets, and sends Slack alerts for invalid, missing, or inconclusive checks. How it works Polls Gmail hourly for unread emails matching “has:attachment invoice” and downloads the first attachment. Extracts text from the attached invoice PDF. Uses Google Gemini to parse the invoice text into structured fields such as the T-registration number, issuer name, invoice date, and amounts. Normalizes and validates the registration number to ensure it matches the required “T + 13 digits” format. If the format is valid, calls the NTA Invoice Web-API to verify the registration number and interprets the response as valid, invalid, or not found. Appends the invoice details and verification status to a Google Sheets worksheet. Routes the outcome by sending the appropriate Slack alert for invalid/not found/inconclusive results or marking the invoice email as read when the number is valid. Setup Connect your Gmail OAuth2 credentia
Screen LinkedIn jobs and send tailored applications with Apify and OpenAI
Quick overview This workflow collects your job preferences via an n8n form, uses Apify to scrape LinkedIn job listings, and has OpenAI screen and rank them. After you approve a shortlist by Gmail, it generates tailored resume and cover-letter PDFs with DocRaptor, emails them to you, and logs matches to Sheets How it works Receives your job preferences and resume text through an n8n form submission. Sends the preferences to Apify to scrape recent LinkedIn jobs, then removes duplicates and obvious mismatches (seniority, years of experience, and location). Uses OpenAI to score each job’s relevance and eligibility and returns a JSON verdict with a fit score and short reason. Keeps the top matches above the configured threshold and emails you a shortlist in Gmail with approve/decline buttons. If you approve, uses OpenAI to draft a job-specific resume and cover letter from only the provided profile text and generates HTML interview prep questions. Converts the resume and cover letter HTML into PDFs via DocRaptor, emails the tailored application package to you in Gmail, and appends the match details to a Google Sheets tracker. Setup Add credentials for OpenAI, Gmail OAuth2, Google Sheets
Run a multimodal WhatsApp AI assistant with OpenAI for text, voice and images
Quick overview This workflow turns WhatsApp into a multimodal assistant that answers text, voice notes, images, and PDF documents using OpenAI, and can generate images with DALL·E on demand, replying back in WhatsApp with either text, audio, or an image. How it works Triggers when a new WhatsApp message is received. Detects whether the incoming message is text, a voice note, an image, a PDF document, or an unsupported type. For text messages, generates an image with OpenAI DALL·E when the message starts with the configured /image command, and sends the generated image back to the sender. For voice notes, fetches the WhatsApp media URL, downloads the audio, transcribes it with OpenAI, and forwards the transcript to the assistant. For images, fetches the WhatsApp media URL, downloads the image, describes it with OpenAI vision using the configured analysis prompt, and forwards the description (plus any caption) to the assistant. For PDF documents, downloads the file from WhatsApp, extracts the PDF text, and forwards the extracted content (plus any caption) to the assistant, while non-PDF files receive an error message. Uses an OpenAI chat model with per-contact short-term memory to ge