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İndirebileceğin 3.557 hazır workflow dosyası, artı 10.661 kaynağa bağlı n8n referansı.
Search and score relevant jobs using Google Gemini, JSearch, and Notion
Automated Job Search & AI Relevance Evaluator Overview This n8n template automates the entire job hunting process by cross-referencing a candidate's PDF resume with live job listings from the JSearch API. It automatically filters for fresh, unapplied roles, uses Google Gemini AI to critically evaluate each job's relevance against the candidate's specific experience, and logs highly tailored matches directly into a Notion database for seamless tracking. 🚀 How it works Context & Extraction: The workflow fetches existing applications from your Notion database to prevent duplicate tracking, then reads and extracts plain text directly from a local PDF resume. Role Discovery: A Google Gemini node isolates the candidate's current job title to formulate a precise search query. This query is sent to the JSearch API (via RapidAPI) to pull live job listings. Smart Filtering: Natively filters out jobs posted more than 14 days ago and jobs that already exist in your Notion tracker, ensuring only fresh, unseen postings are processed. AI Evaluation: The core of the workflow! Google Gemini acts as an expert technical recruiter, comparing the candidate's resume against each job description. It gen
Automate employee onboarding with Groq, Gmail, Slack and Google Workspace
How it works New hire submits an onboarding form with their details Groq AI generates personalised welcome content, Slack messages, and IT access request Welcome email sent to the new hire via Gmail Automated emails sent to HR, the manager, and IT team Company Policy and Employee Handbook PDFs downloaded from Drive and attached Slack messages posted to #general and #hr-team channels Onboarding record appended to Google Sheets tracker Set up steps Estimated time: ~15 minutes Connect Groq API, Gmail, Slack, Google Drive, and Google Sheets credentials Upload your Policy and Handbook PDFs to Drive and link them in the Download nodes Select your Slack channels in the two Slack nodes Select your onboarding Google Sheet in the Append row node Activate the workflow and share the form link with new hires
WTurn TikTok videos into Facebook posts using WayinVideo and GPT-4o-mini
Description Paste any TikTok, YouTube, or short-form video URL into a simple form along with your brand name, target audience, and preferred tone and the workflow automatically transcribes the content and writes a ready-to-publish Facebook caption. GPT-4o-mini follows ten Facebook engagement rules to write a hook, short paragraphs, a call to action, and up to 8 hashtags — then posts the caption directly to your Facebook Page feed via the Graph API. Every post is logged to Google Sheets with the Post ID, Post URL, character count, and Posted status. Built for social media managers, content creators, and brands who produce short-form video and want Facebook posts published automatically without rewriting captions manually. What This Workflow Does Transcribes any video into plain text** — WayinVideo processes the video and returns a clean spoken text version that GPT uses as the source for caption writing Writes a Facebook caption following 10 engagement rules** — GPT-4o-mini produces a hook, short paragraphs, a tone-matched body, a CTA, optional video link, and up to 8 hashtags Optionally includes the video link in the post** — If you choose Yes at form submission, the video URL is a
WConvert podcasts to LinkedIn articles with WayinVideo and GPT-4o-mini
Description Submit your podcast or video URL using a simple form and the workflow automatically transcribes the full episode with speaker labels and timestamps. GPT-4o-mini then reads the transcript and writes a complete LinkedIn newsletter article — headline, 400–600 word body, five key takeaways, and hashtags — following seven LinkedIn readability rules. The finished draft is saved to Google Sheets with a Status of "Draft" so you can review and publish when ready. Built for podcast hosts, content marketers, and personal brand builders who want to turn every episode into a LinkedIn article without writing from scratch. What This Workflow Does Transcribes your podcast with speaker labels** — WayinVideo processes the full episode and returns each segment attributed to the correct speaker with timestamps Polls automatically until transcription is complete** — Waits 60 seconds then checks the status repeatedly every 30 seconds until the transcript is ready, with no manual monitoring needed Formats the transcript for AI analysis** — Structures every segment as speaker name with timestamp so GPT understands who said what and when Writes a complete LinkedIn article** — GPT-4o-mini produc
Classify LinkedIn posts as quality or slop with OpenAI and Qdrant
Purpose This workflow is the official backend for the StopSlopIn Chrome extension – it classifies LinkedIn posts as quality or slop using a strict LLM quality gate and learns from user votes over time via a Qdrant vector store. What this is for This runs the webhook that powers the StopSlopIn Chrome extension on the Chrome Web Store. The extension sends LinkedIn posts here for analysis and user votes here for training – everything stays on your own n8n instance. Setup Add your OpenAI credentials to the chat model and embeddings nodes Add your Qdrant credentials to both vector store nodes, pointing to a collection named stopslopin Activate the workflow, copy the webhook URL, and paste it into the StopSlopIn Chrome extension settings Follow the instructions on the yellow sticky notes for anything else How it works A single webhook exposes two actions, selected via a ?action= query parameter: analyze for classification, vote for training. A Switch node routes incoming requests based on the action parameter On analyze: each post is enriched with similar prior-rated posts pulled from Qdrant (RAG), batched together, and sent to the LLM with a strict quality-gate system prompt The LLM ret
Track Pennylane invoice payment status with Slack notifications
Who is this for Teams using Pennylane (French accounting platform) who want automatic alerts when invoices are paid or become overdue, without checking Pennylane manually. What it does This workflow runs every 15 minutes, fetches all customer invoices from Pennylane, and classifies them as paid, overdue, or upcoming. If any invoices have been paid or are overdue, it sends a summary notification to Slack. If everything is normal, the workflow ends silently. How to set up Import this workflow into n8n Create a Header Auth credential with name Authorization and value Bearer <YOUR_PENNYLANE_TOKEN> Select your Slack channel in the SL Send Notification node Adjust the schedule interval in the Schedule Trigger node if needed Requirements Pennylane account with API access (Essentiel plan or higher) Pennylane API token with scope: customer_invoices:all (Optional) Slack workspace for notifications How to customize Change the polling interval in the Schedule Trigger node (default: every 15 minutes) Replace Slack with Telegram, Email, or any other notification channel Note: Pennylane API does not support filtering by status or paid fields, all classification is done client-side in a Code
Send daily Brent crude oil futures prices to Telegram with 0 API cost
Who is this for? Oil traders, energy analysts, commodity research desks, shipping operations teams, refinery planners, equity investors in oil stocks, macro researchers, and anyone whose day starts with "where is Brent trading?" If you track the international oil benchmark and want hands-free price updates delivered to Telegram multiple times a day without paying for a Bloomberg terminal or a commodity data API, this workflow is built for you. What problem does this solve? Most professional oil price data sources charge steep monthly fees. Bloomberg terminals run into thousands per month. Refinitiv, CQG, and similar platforms are priced for institutions. Free alternatives exist but require manually checking websites throughout the day, which breaks focus and wastes time. This workflow silently scrapes the public Brent Crude futures page on oilprice.com, extracts the 10-month forward curve, formats the data into a clean tabular Telegram message, and delivers it on a configurable schedule. You get institutional-grade visibility into the Brent forward curve without spending a rupee on data feeds. Zero ongoing cost to run This workflow has no API keys, no subscriptions, and no metered
Generate AI-powered pro vs con debates with GPT-4o and Google Sheets tracking
This workflow automatically processes incoming debate topic requests, generates structured, evidence-backed Pro vs Con debates with balanced arguments, rebuttals, and final verdicts using AI, delivers them via email, and logs everything in Google Sheets. Who’s it for • Students and debaters preparing arguments • Content creators and podcasters • Researchers and analysts needing balanced views • Decision-makers and AI enthusiasts exploring topics How it works / What it does Captures new debate requests (webhook or scheduled poll) Validates the topic and prepares context AI generates full structured debate (Pro/Con arguments with evidence, rebuttals, verdict) Formats professional markdown output Emails the complete debate to the requester Logs topic, verdict summary, and generation details in Google Sheets How to set up Import this workflow Set up credentials (Webhook, Google Sheets, OpenAI/Anthropic) Update default instructions and email sender Activate workflow Requirements • Webhook endpoint for topic submissions • Google Sheets • OpenAI / Anthropic / Grok API • Clear debate topic input How to customize the workflow • Modify AI prompt for depth, tone, or format in the AI node • Ad
Audit multi-page CRO with GPT-4o-mini, Google Sheets, and Gmail alerts
Description Submit up to 3 landing page URLs using a simple form and the workflow audits each one automatically. For every page, GPT-4o-mini scrapes the content, scores it across five dimensions, identifies the top conversion issue, and generates five specific page fixes. Every result is logged to Google Sheets and pages that score below your alert threshold trigger an automatic Gmail alert with the full breakdown. Built for marketing managers, agency owners, and growth teams who need structured, repeatable conversion audits without spending hours reviewing pages manually. What This Workflow Does Scrapes and cleans each page automatically** — Fetches the raw HTML for every URL submitted, strips all scripts and styles, and prepares clean text for AI analysis Scores pages across five CRO dimensions** — GPT-4o-mini rates each page on overall conversion potential, CTA strength, trust score, and message clarity on a 1–10 scale Generates a letter grade per page** — Assigns A+ through F based on the overall score so you can rank pages at a glance Produces five page-specific fixes** — Every fix references actual content from the page and is scoped to be doable within 1–2 days — no generic
Optimize blog and product pages for Google AI Overviews with GPT-4 and Sheets
This workflow automatically monitors blog posts or product pages for new/updated content, analyzes Google AI Overviews to identify optimization gaps, auto-generates optimized titles, summaries, and schema markup, and applies these improvements to enhance visibility in AI search results. Who's it for • SEO managers optimizing for AI-driven search results • Content teams publishing 5+ articles per week • E-commerce teams managing product page visibility • Digital marketers tracking AI Overview presence How it works / What it does Detects new or updated blog posts / product pages via webhook or schedule Fetches raw content and existing metadata Queries Google Search API to analyze AI Overview coverage gaps AI generates optimized title, meta summary, and JSON-LD schema markup Pushes improvements back to CMS or target endpoint Logs all changes and scores to Google Sheet tracker How to set up Import this workflow Set up credentials (Google Search API, OpenAI/Anthropic, CMS/HTTP, Google Sheets) Update your site URL and content preferences Activate workflow Requirements • Webhook endpoint or CMS trigger • Google Custom Search API key • OpenAI / Anthropic / Grok API • CMS REST API or target
Pull bulk domain backlink profiles into Google Sheets with DataForSEO
This workflow helps you retrieve backlink profile data for a large list of domains without running separate audits for each one. On each manual run, the workflow reads your target domains from a Google Sheet and sends them as a batch request to the DataForSEO Bulk Pages Summary endpoint, which returns a comprehensive backlink overview for up to 1000 domains in a single call. For each domain, the workflow retrieves key backlink metrics, including the total number of backlinks, referring domains, domain rank, spam score, and more. After that, the results are mapped directly back to your spreadsheet. The result is a fast, scalable backlink analysis system that lets you analyze entire domain lists in seconds and keep your data organized without manual exports. Who's it for This workflow is perfect for SEO experts, link-building specialists, and digital agencies who need to quickly and at scale audit and compare backlink profiles across multiple domains. What it does This workflow automatically retrieves a full backlink summary for a list of domains specified in a Google Sheet and writes the results back to the spreadsheet. The retrieved backlink data includes backlink count, referring
Qualify insurance quote leads with Aloware SMS and AI voice agent
Description Automate insurance lead qualification with an AI Voice Agent. When a prospect requests a quote — auto, home, life, or commercial — this workflow instantly acknowledges the request via SMS and routes urgent leads to an AI-powered qualification call that captures coverage details, timeline, and budget. Insurance agencies live and die by speed-to-quote. This workflow eliminates the lag between a quote request landing in your inbox and an agent picking up the phone. Urgent leads get an immediate AI Voice Agent call that qualifies them on the spot, while standard leads enter a nurture drip until they're ready. How it works A Webhook receives a quote request from your website form, landing page, or lead vendor. A Set node normalizes the prospect data — phone, name, email, insurance type (auto/home/life/commercial), current coverage status, urgency, and ZIP code. An HTTP Request creates the contact in Aloware with insurance type, coverage status, and ZIP stored in custom fields and notes. A second HTTP Request sends an instant SMS: "Hi {name}! This is {agent} from {agency}. We received your {insurance type} quote request…" An IF node checks the urgency field. Urgent leads → en
Route CRM new leads to Aloware for instant SMS and AI qualification calls
Description Connect your CRM to Aloware so every new lead gets an instant SMS and is routed to the right AI-powered follow-up sequence — all within seconds of form submission. Speed-to-lead is everything. Studies show responding within 5 minutes makes you 100x more likely to connect. This workflow eliminates the gap between "lead submitted" and "rep reached out" by automating the entire handoff from your CRM to Aloware's voice and SMS platform. How it works A Webhook receives new lead data from your CRM (HubSpot, Salesforce, Pipedrive, or any system that can POST JSON). A Set node normalizes the payload — it pulls phone, name, email, company, lead score, and source from whichever field structure your CRM sends, so you don't have to rewrite the workflow per CRM. An HTTP Request creates or updates the contact in Aloware via the /webhook/forms endpoint, storing lead source and score as custom fields. A second HTTP Request fires a personalized SMS to the lead within seconds: "Hi {name}! Thanks for your interest in {company}…" An IF node checks the lead score against your configurable threshold (default: 70). Hot leads (score ≥ threshold) → enrolled in an AI Qualification Sequence that
SAnswer portfolio questions with live profile data, Groq and chat memory
Build a conversational AI chatbot for your personal portfolio that answers questions about your experience, skills, projects, and contact info — powered by Groq and live profile data fetched from a JSON endpoint. How it works A visitor sends a message via the public chat widget The workflow fetches your latest profile data from a hosted JSON URL Profile data + chat input are prepared and passed to the AI agent The Groq-powered agent answers questions using only your profile data Chat memory retains the last 10 messages for context-aware replies Setup Replace the profile JSON URL in Get Profile with your own hosted endpoint Connect your Groq API credential Update the system prompt in Chat Agent with your name Activate and embed the chat widget on your portfolio site Requirements Groq API key (free tier works) A publicly accessible JSON file containing your profile data
Route and triage support tickets with Claude Sonnet and your CRM
Overview This workflow automates customer support ticket processing using AI-powered analysis, classification, and intelligent routing. It processes incoming tickets from email or webhook, translates messages when needed, analyzes sentiment and urgency, and routes tickets to auto-reply or escalation flows. The system also updates CRM platforms and logs observability metrics for monitoring. This enables faster response times, improved customer experience, and scalable support operations. How It Works Input Sources Receives tickets via: IMAP Email Trigger Webhook endpoint Workflow Configuration Defines: CRM/Helpdesk API endpoint Escalation webhook URL Observability logging endpoint Data Cleaning & Normalization Extracts and cleans HTML content Normalizes ticket data: Ticket ID User email Message content Timestamp Source channel Language Detection & Translation Detects the original language Translates message into English if needed Returns confidence score AI Support Intelligence Classifies ticket into: Sentiment (positive/neutral/negative) Urgency (low → critical) Category (billing, bug, technical, etc.) Generates: Short summary Churn risk score (0–1) Recommended action path Decision
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Check job apply URLs and deactivate dead links in Postgres and Google Sheets
Keep your job listings database clean without manual checks. Every three days, this workflow fetches all active jobs from your Postgres database, runs each application URL through a validation check, identifies dead links via HTTP status codes and soft-404 redirect detection, then marks failed entries as inactive in both Supabase and Google Sheets simultaneously. Who it's for Teams running a job aggregator, career platform, or internal hiring tracker who store job listings in Postgres and want stale or broken apply links removed automatically — without waiting for user reports. How it works A Schedule Trigger fires every 3 days All active jobs are fetched from your Postgres (Supabase) database via a SQL query A Prepare URLs node filters out any rows with missing, malformed, or non-HTTP URLs before they're checked An HTTP Request node sends a HEAD request to each apply_url A Find Dead Jobs code node analyzes each response and flags a job as dead if: Status code is 404 or 410 DNS resolution fails (ENOTFOUND) Connection is refused (ECONNREFUSED) A 301/302/307 redirect points to a different path — indicating the job was removed and the ATS is silently redirecting (soft-404 detection) I
WAggregate multi-source job boards into Supabase and Google Sheets
Stop manually checking dozens of career pages. This workflow runs every morning, hits the public APIs of 8+ ATS platforms and job boards, normalizes every listing into a single clean schema, and syncs everything to Supabase and Google Sheets deduplicated and ready to query. Who it's for Job seekers, recruiters, or career platforms that want a consolidated, up-to-date feed of openings from specific companies without scraping, without API keys, and without paying for a jobs aggregator. How it works A Schedule Trigger fires daily at 8 AM IST A Company List code node defines all sources grouped by ATS type (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, RemoteOK, and board APIs like Remotive, Himalayas, Arbeitnow, Jobicy) A Prepare Request node builds the correct API URL and headers for each source, including multi-page pagination for SmartRecruiters (up to 500 jobs via offset) and Himalayas (up to 500 via page param) An HTTP Request node fetches all sources in batches of 5 A Parse + Enrich + Filter node normalizes all divergent JSON structures into a unified schema — resolving ISO country codes, Indian city detection, salary parsing across all formats, and domain-based filtering
WGenerate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets
This workflow helps you turn your best-performing LinkedIn posts into a repeatable content creation system. It pulls LinkedIn post data from Apify, normalizes and ranks the posts by impressions, identifies the strongest-performing content, and sends the top posts to OpenAI for pattern analysis. Based on those insights, it generates 7 new LinkedIn post ideas, then saves both the insights and generated posts to Google Sheets for easy review and planning. It is ideal for founders, creators, consultants, marketers, and social media teams who want to use real LinkedIn performance data to guide new content creation with a faster and more structured workflow.
SOrchestrate credit onboarding checks with GPT-4o, Airtable, Gmail and Slack
How It Works This workflow automates credit operations onboarding by running KYC verification, credit bureau checks, identity validation, and sanctions screening through a single AI-powered agent. Built for credit operations teams, compliance officers, and fintech platforms, it eliminates manual eligibility reviews that are slow and error-prone. Triggered via webhook, the Credit Operations Agent orchestrates all verification tools simultaneously, then routes customers by eligibility status, eligible, ineligible, pending documentation, or compliance escalation. Each path prepares structured data stored in Airtable, triggers appropriate follow-up actions (email, Slack alerts), and logs a full audit trail. A final formatted response is returned to the originating system, closing the loop end-to-end with no manual handoffs. Setup Steps Set webhook URL and connect Credit Operations webhook node to your intake system. Add OpenAI API key to the OpenAI Chat Model node. Configure KYC, Credit Bureau, Identity, and Sanctions tool credentials. Add Gmail OAuth2 and Slack bot token for notification nodes. Connect Airtable API key; set base/table IDs for eligible and ineligible customer stores. P
Monitor and optimize carbon emissions for ESG reporting with GPT-4o, Slack and Sheets
How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl
Monitor and optimize carbon emissions for ESG with GPT‑4o, Slack and Google Sheets
How It Works This workflow automates end-to-end carbon emissions monitoring, strategy optimisation, and ESG reporting using a multi-agent AI supervisor architecture in n8n. Designed for sustainability managers, ESG teams, and operations leads, it eliminates the manual effort of tracking emissions, evaluating reduction strategies, and producing compliance reports. Data enters via scheduled pulls and real-time webhooks, then merges into a unified feed processed by a Carbon Supervisor Agent. Sub-agents handle monitoring, optimisation, policy enforcement, and ESG reporting. Approved strategies are auto-executed or routed for human sign-off. Outputs are consolidated and pushed to Slack, Google Sheets, and email, keeping all stakeholders informed. The workflow closes the loop from raw sensor data to actionable ESG dashboards with minimal human intervention. Setup Steps Connect scheduled trigger and webhook nodes to your emissions data sources. Add credentials for Slack (bot token), Gmail (OAuth2), and Google Sheets (service account). Configure the Carbon Supervisor Agent with your preferred LLM (OpenAI or compatible). Set approval thresholds in the Check Approval Required node. Map Googl
WSend personalized LinkedIn connection requests with Google Sheets and Unipile
Send personalized LinkedIn connection requests automatically using n8n, Google Sheets, and Unipile — with built-in safety limits, duplicate prevention, and full invitation tracking. Scale your LinkedIn outreach without manually sending a single connection request. This workflow reads your leads from a Google Sheet, filters out already-contacted prospects, and sends each one a personalized connection note via LinkedIn — automatically, on a schedule, and safely within LinkedIn's limits. Built for founders, sales teams, and recruiters who want consistent LinkedIn outreach without repetitive manual work. Every request is tracked back to your sheet with its invitation ID and status, making follow-up workflows easy to build on top. Good to know Unipile pricing is based on the number of connected accounts, not per API call or per message sent. The base plan starts at €49/$55 per month and includes up to 10 linked accounts For this workflow, connecting one LinkedIn account counts as one account Unipile does not enforce usage limits — you can send as many requests as you need. However, LinkedIn itself applies its own rate limits and usage policies A 7-day free trial is available with all fe
Track buying signals with Airtop and log them to Google Sheets
This powerful automation helps you stay ahead of the competition by identifying sales opportunities in real-time. Here’s how it works: Reads Your Targets**: It starts by reading a list of target companies and your custom-defined buying signals from a Google Sheet you provide. Scans Multiple Sources**: For each company, the automation scours the web, pulling data from: LinkedIn Job Postings: To find signals related to team growth, new initiatives, and technology adoption. LinkedIn Company Posts: To catch announcements, product news, and other strategic updates. Web News Articles: To monitor for major events like M&A, funding rounds, and market expansion. AI-Powered Analysis**: An advanced AI model acts as an analyst, meticulously evaluating all the collected information against your signal definitions to identify genuine buying intent. Avoids Duplicates**: To ensure your signal feed is clean and actionable, the automation intelligently checks if a newly found signal has already been logged recently. Logs Opportunities**: New, unique buying signals are instantly recorded in your Google Sheet, creating a dynamic, up-to-date list of warm leads for your sales team. Usage Ideas Proactive
Auto-post GitHub code summaries to LinkedIn using Gemini AI
How it works Listens for a GitHub push event via Webhook Lists and fetches all files from the pushed repository Decodes base64 file content and merges it into a single text block AI Agent (Gemini 2.5 Flash) analyzes the code and generates a article A second AI Agent converts the article into a LinkedIn-ready post (max 2500 chars) Automatically publishes the post to your LinkedIn profile Set up steps Connect your GitHub account and configure the Webhook in your repo's settings Add your Google Gemini API key under credentials Connect your LinkedIn OAuth2 account Activate the workflow — posts will publish automatically on every push