HTTP Request workflow'ları
1.200 sonuç — 3 indirilebilir workflow dosyası, 1.197 kaynağa bağlı n8n referansı
Daily Server Health Check
Pings a health endpoint on a schedule and alerts Slack if the service returns a non-200 status.
SSL Certificate Expiry Monitor
Checks a domain's TLS certificate daily and warns Slack when it is within 14 days of expiry.
WSalesforce Lead Enrichment via HTTP
Enriches a new Salesforce lead by calling an enrichment API, writes the firmographics back, and pings sales.
Generate Pinterest pin copy CSV from blog RSS with OpenAI-compatible chat
Quick overview Turn your latest blog posts into Pinterest-ready pin titles, descriptions and keywords, exported as a CSV formatted for Pinterest's native bulk upload. An AI writes one conversion-focused pin per post from your RSS feed — curiosity-preserving titles under 90 characters, natural keywords, no clickbait. How it works Starts when you manually execute the workflow. Loads configuration values such as the RSS feed URL, number of posts to process, target Pinterest board name, and the AI API base URL and model. Reads the blog’s RSS feed and collects the newest N posts with their titles, links, and short snippets. Sends the post list to an OpenAI-compatible Chat Completions endpoint to generate one Pinterest pin title, description, and keyword set per post as structured JSON. Transforms the AI response into Pinterest bulk upload columns (including Title, Description, Keywords, Link, and Pinterest board) and inserts a placeholder Media URL for you to replace. Converts the rows into a CSV file and provides it for download. Setup Add an HTTP Header Auth credential for your OpenAI-compatible API (for example, Authorization: Bearer ) and select it on the AI request step. Update the
WCreate purchase orders from Google Sheets using Groq AI and Gmail
Quick overview This workflow runs every 15 minutes to read approved, new requisitions from Google Sheets, validate supplier and policy rules, call an LLM risk-assessment API via HTTP, then create a purchase order record, update requisition status, write audit logs, and notify the procurement team via Gmail. How it works Runs every 15 minutes on a schedule. Reads requisitions from Google Sheets and keeps only rows where ApprovalStatus is "Approved" and ProcessingStatus is "New". Looks up each requisition’s supplier in a Google Sheets supplier master sheet and merges the supplier details into the requisition. Stops processing for items that don’t meet the duplicate/eligibility criteria, and validates supplier status, contract status, compliance, and max spend limit. For validated requisitions, sends the requisition and supplier details to an LLM risk-assessment endpoint via HTTP and parses the JSON decision, risk score, and reason. Generates a purchase order number, appends the purchase order to a Google Sheets Purchase_Orders sheet, updates the requisition to "Processed", logs the outcome to an Audit_Logs sheet, and emails the procurement team via Gmail. For failed validations, appe
Post a daily Asana project status digest to Slack
Quick overview This workflow runs every weekday morning to fetch tasks from a specified Asana project, bucket them by due status and completion activity, and post a Slack Block Kit digest with counts, key task links, and per-assignee open workload. How it works Runs on a weekday-morning schedule. Pulls tasks from a chosen Asana project via the Asana REST API, including assignee, due date, completion status, and task links, and paginates through results as needed. Groups open tasks into overdue, due today, due this week, and unassigned buckets, and also collects tasks completed within the configured lookback window. Calculates summary counts and open-task load per assignee. Formats the results into a Slack Block Kit message with a short totals line and up to five linked tasks per bucket. Posts the digest to the specified Slack channel. Setup Add an Asana Personal Access Token (Asana API credentials) and select it for the HTTP request that fetches project tasks. Add a Slack OAuth credential and ensure the app/bot can post messages to your target channel. In the configuration step, set your Asana project GID, Slack channel ID, timezone, and the lookback window for recently completed t
WAudit Asana task hygiene with Google Sheets and Slack scorecards
Quick overview This workflow runs every Monday at 8am to audit open tasks in an Asana project for missing assignees and due dates (optionally missing sections and descriptions), appends each flagged task to Google Sheets, and posts a weekly hygiene scorecard with key counts and top offenders to Slack. How it works Runs every Monday at 8am on a schedule trigger. Fetches tasks from the specified Asana project via the Asana API and keeps only open (incomplete) tasks. Checks each open task for missing assignee and due date (and optionally missing section and empty description) and prepares one audit row per task that fails any enabled rule. Appends the flagged task rows (including reason codes and task permalink) to a Google Sheets tab for a running audit log. Calculates weekly completeness metrics across all open tasks and formats a Slack scorecard including category counts, percent fully fielded, and top offenders. Posts the scorecard message to the configured Slack channel. Setup Add an Asana API credential and set the target Asana project GID in the configuration values. Add a Google Sheets OAuth2 credential, select the target spreadsheet and sheet/tab, and ensure the header column
Create social visuals from blog RSS with Canvora and Slack
Quick overview This workflow watches your blog RSS feed for new posts, sends each post URL to Canvora to generate branded social image formats (and an optional carousel), polls until generation completes, and posts the resulting image links to a Slack channel for review. How it works Triggers when a new item appears in the configured RSS feed on an hourly polling schedule. Builds a Canvora generation request using the blog post URL plus your selected output formats, optional carousel settings, language, and brand kit ID. Creates the generation in Canvora via its API. Polls Canvora every 30 seconds to fetch the generation status until it completes, fails, is cancelled, or times out after about 10 minutes. If the generation succeeds (completed or partial), sorts the returned assets and formats a Slack message containing the public file URLs and an edit link. Posts the message to the chosen Slack channel for human review, or sends a Slack alert if the generation fails or times out. Setup Create a Canvora account and add an API key as an HTTP Header Auth credential (header name X-API-Key). Update the RSS Feed Trigger with your blog’s RSS URL. Optionally set Canvora format IDs, carousel
Send a daily AI-ranked job match digest with Anthropic and Gmail from 6+ boards
Quick Overview This workflow runs every morning to pull jobs from multiple free job boards (and optional Adzuna), filters and de-duplicates results, scores each role against your resume and preferences using Anthropic, then emails a ranked digest via Gmail. How it works Runs every morning at 08:00 using a schedule trigger. Builds a list of job board API URLs (RemoteOK, Remotive, Arbeitnow, Jobicy, Himalayas, TheMuse, and optional Adzuna) based on your search settings. Fetches job listings from each board over HTTP. Normalizes all responses into a single job format, applies your filters (title keywords, tags, locations/remote, salary, and excluded terms), and de-duplicates roles across boards. Sends your resume, preferences, and the short-listed jobs to an Anthropic-powered AI agent to return a structured fit score, fit reason, risk/concerns, and a tailored first-person pitch for each job. Keeps only roles at or above your minimum score, ranks them by score, and generates an HTML email digest with links and source board attribution. Sends the digest to your target address using Gmail. Setup Add an Anthropic API credential, select an Anthropic chat model, and keep the structured outp
Extract business card contacts from LINE with Google Gemini and Notion
Quick overview This workflow receives image messages from LINE, downloads the photo, uses Google Gemini to detect and extract business card details, and then saves the contact to a Notion CRM database before replying to the sender in LINE. How it works Receives a POST request from the LINE Messaging API webhook when a user sends a message. Extracts the message type, image message ID, reply token, and LINE user ID from the webhook payload. If the message is an image, downloads the image content from the LINE data API and converts it to Base64. Sends the image to Google Gemini (Generative Language API) to determine whether it is a business card and to extract name, company, position, phone, and email as JSON. Parses Gemini’s JSON response and branches based on whether the image is flagged as a business card. If it is a business card, creates a new page in a Notion CRM database with the extracted fields and pushes a confirmation message to the user in LINE. If it is not a business card, pushes a LINE message asking the user to resend a clearer business card photo. Setup Create a LINE Messaging API channel, enable webhooks, and add the n8n webhook URL from the LINE webhook trigger as y
WSend a daily AI-ranked news brief with Anthropic Claude and Gmail
Quick Overview This workflow runs every morning to fetch recent articles from 50+ curated RSS/Atom feeds, uses Anthropic Claude to rank and rewrite the most relevant items based on your interests, then sends a category-grouped HTML news brief to you via Gmail. How it works Runs daily on a schedule trigger. Reads your configured categories, interests, and look-back window, then expands them into a list of RSS/Atom feed URLs. Fetches each feed over HTTP and parses, tags, de-duplicates, and filters articles to keep only recent items within the time window. Sends the curated article pool to Anthropic Claude to remove noise, select the top stories across categories, rewrite headlines, and assign importance scores. Formats the ranked picks into an HTML brief grouped by category with links and one-line rationales. Emails the brief to your target address using Gmail. Setup Add an Anthropic API key and set it in the workflow configuration so the HTTP request to Anthropic can authenticate. Connect a Gmail account credential for sending email. Update the configuration values for categories, interests, delivery email address, and limits (hoursBack, perFeed, maxItems, topN). Adjust the schedule
Match Japanese jGrants subsidies to your company with Gemini, Slack and Gmail
Quick Overview This workflow runs weekly to search the public jGrants API for open Japanese subsidies, scores each subsidy’s fit for your company using Google Gemini, logs results to Google Sheets, and notifies a Slack channel (and drafts a Gmail kickoff email) for strong matches. How it works Runs weekly on a schedule and loads your company profile details (industry, headcount, prefecture, investment plan, and search keyword). Calls the public jGrants subsidies API to retrieve currently accepting programs sorted by newest first, and posts to Slack if the search fails. Processes each returned subsidy individually and asks Google Gemini to produce a fit score, verdict (strong/possible/no), reasons, next steps, and a short summary. Normalizes the Gemini response into consistent fields, and posts to Slack if scoring fails for a subsidy. Upserts each scored subsidy into a Google Sheets tracker (keyed by subsidy ID) to avoid duplicates across weekly runs. Routes results by verdict: sends a detailed Slack alert and creates a Gmail draft for strong matches, posts a lightweight Slack message for possible matches, and flags unclear verdicts in Slack. Setup Add credentials for Google Gemini
Monitor Japanese business partners for registry changes with gBizINFO and Gemini
Quick Overview This workflow runs weekly to check Japanese business partners listed in Google Sheets against the gBizINFO corporate registry API, uses Google Gemini to assess the risk impact of detected changes, updates the stored partner snapshot, and escalates findings to Slack and Gmail based on materiality. How it works Runs every week on a schedule. Reads the partner list (including corporate numbers and last-known name/address) from Google Sheets. Queries the gBizINFO corporate registry API for each partner and posts a Slack message if the lookup fails. Compares the latest registry data to the stored snapshot to detect name, address, or closure/dissolution changes and continues only when changes are found. Sends the detected changes to Google Gemini to classify materiality (high/medium/low) with a short summary and recommended action, and posts a Slack message if the assessment fails. Updates the Google Sheets partner snapshot with the latest registry details so the change is recorded. Routes by materiality to notify Slack (medium/other), and for high materiality also posts a Slack alert and creates a Gmail draft requesting a credit review. Setup Create a Google Sheets spread
WMonitor competitor pricing page changes with OpenAI, Google Sheets and Slack
Quick overview This workflow checks competitor pricing pages each morning, compares the latest visible text to the previous snapshot stored in Google Sheets, and uses OpenAI to summarize meaningful changes before posting an alert to a Slack channel. How it works Runs every day at 08:00 on a schedule. Reads your configured list of competitor page URLs and processes each URL individually. Fetches each page’s HTML, extracts the visible body text, and trims it to a snapshot for comparison. Looks up the previous snapshot for the same URL in Google Sheets. If a previous snapshot exists and the content differs, OpenAI generates a 1–3 bullet summary of meaningful changes based on your watch criteria. Posts the change summary to Slack and then appends or updates the URL’s latest snapshot and “Last Checked” timestamp in Google Sheets. If no previous snapshot exists or no change is detected, it skips the Slack alert and only saves the current snapshot to Google Sheets. Setup Add credentials for Google Sheets, Slack, and OpenAI (Chat) and select the target Slack channel. Create or choose a Google Sheet with columns named URL, Content, and Last Checked, and set the Spreadsheet ID and sheet name
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
WTrack competitor pricing changes with Google Sheets, OpenAI, and Gmail
Quick Overview This workflow runs daily, checks competitor webpages listed in Google Sheets, compares the latest page text to the previous snapshot using OpenAI, stores the updated snapshot in Google Sheets, and emails a consolidated HTML change report via Gmail. How it works Runs every day at 9:00 AM on a schedule. Reads the list of competitor sites (Site ID, Site Name, URL) from a Google Sheets tab. Fetches each competitor URL and extracts the visible page text from the HTML body. Looks up the previous saved snapshot for the same Site ID in a Google Sheets “Snapshots” tab. Uses OpenAI (gpt-4o-mini) to compare previous vs current text and summarize pricing, plan, and campaign changes or return “No changes detected”. Saves the current page text and fetch timestamp back to Google Sheets (append or update by Competitor Site ID) and formats each result into an HTML table row. Aggregates all rows into a single HTML table and sends the daily report email through Gmail. Setup Create a Google Sheets file with a “Monitored Sites” tab (Site ID, Site Name, URL) and a “Snapshots” tab (Competitor Site ID, Last Fetched At, Page Text). Add Google Sheets OAuth credentials and set your spreadsheet
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Monitor weekly LLM share of voice with OpenRouter, Google Sheets, and email reports
Quick overview This workflow runs weekly to query multiple LLMs via OpenRouter with prompts from Google Sheets, analyzes brand mentions and domain citations, aggregates weekly Share of Voice metrics, and emails an HTML visibility report. How it works Runs every week on a schedule trigger. Reads active prompts from a Google Sheets “prompts” tab and expands them into multiple model runs (including repeated runs per model) to create OpenRouter chat completion requests. Sends each request to OpenRouter, normalizes the response into answer text and extracted citation URLs, and appends the results to the Google Sheets “runs” tab. Loads brand definitions from the Google Sheets “brands” tab, scans the latest successful runs for brand mentions and matching citation domains, and writes one mention/citation record per brand-run to the “mentions” tab. Aggregates the mention and citation results into weekly metrics per model (and an “all models” total), including mention rate, citation rate, Share of Voice, and average first-mention position, and appends them to the “weekly_agg” tab. Builds an HTML report that compares the current week to the previous week, flags alerts (SoV drop > 5pp or citat
Handle WhatsApp support text and voice messages with OpenAI GPT-5 Mini
Quick overview This workflow responds to incoming WhatsApp Business messages, handling both text and voice notes by transcribing audio with OpenAI and replying with an OpenAI chat agent that uses per-contact conversation memory and answers only from the business information you provide. How it works Triggers when a new WhatsApp message is received. Routes the incoming message by type, sending text messages directly to the support flow, audio messages to a voice-transcription flow, and other message types to a fallback reply. For voice notes, retrieves the WhatsApp media URL, downloads the audio file, and transcribes it to text with OpenAI. Sends the customer’s text (original or transcribed) to an OpenAI chat agent configured to answer only using your provided business information. Stores and reuses a per-contact conversation history keyed by the sender’s WhatsApp number to maintain context across messages. Sends the agent’s response back to the customer as a WhatsApp text message. Setup Connect WhatsApp Business Cloud credentials for both receiving messages (trigger) and sending replies, and ensure your WhatsApp webhook is configured to point to the trigger URL. Add OpenAI credenti
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
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
WCreate human-reviewed personalized PDFs from Stripe payments using OpenAI
Quick overview This workflow receives Stripe payment webhooks, looks up the customer’s order in Google Sheets, generates personalized HTML content with OpenAI, converts it to a PDF using PDFShift, then queues the request for human approval and delivers the final document via Gmail with Slack notifications. How it works Receives a Stripe payment notification via a webhook endpoint. Extracts payment details (event type, payment ID, customer email, amount, currency) and stops the main flow if the email is missing. Pulls order rows from Google Sheets and matches the order to the payer’s email. Sends the combined payment and order data to the OpenAI Chat Completions API to generate structured personalized content, then renders it into an HTML document. Converts the HTML to a PDF with PDFShift and sends the customer an acknowledgement email via Gmail. Appends the request to a Google Sheets “ReviewQueue” and notifies staff in Slack with instructions to approve via a separate webhook. When an approval webhook is received and marked approved, emails the final message to the customer via Gmail and updates the “ReviewQueue” status in Google Sheets. Setup Create and configure two webhook URLs
Generate weekly student progress reports with Gemini, Supabase, and WhatsApp
Quick overview This workflow runs weekly to pull student attendance and score data from Supabase, uses Google Gemini to generate per-student performance summaries and attention flags, sends immediate WhatsApp alerts for flagged students, then compiles all summaries into a PDF report, uploads it, and shares it with the coach via WhatsApp. How it works Runs weekly on a schedule. Fetches all student weekly metrics (attendance and scores) from Supabase. Uses Google Gemini to write a short performance summary per student and determine whether the student should be flagged for attention based on attendance and score-drop rules. If a student is flagged, sends a WhatsApp message to the coach and inserts a flag record into Supabase. Aggregates all students’ summaries into a single HTML weekly report. Converts the HTML report to a PDF via an HTTP-based HTML-to-PDF API, uploads the PDF to a file-hosting API, and sends the PDF link/document to the coach via WhatsApp. Logs the report URL to Supabase for recordkeeping. Setup Add Supabase credentials and create the required tables/columns (weekly_student_data, attention_flags, and weekly_reports) referenced by the workflow. Add a Google Gemini (P
WAnalyze compliant documents with PromptLock Guard, Claude, and Google Sheets
Quick overview Screen contracts, intake forms, and reports for HIPAA, GDPR, and PCI data — plus always-on prompt-injection detection — before Claude summarizes them. Clean documents pass through, risky ones get flagged for review or blocked, and every document gets an audit row in a Google Sheet. How it works Receives a POST request to a webhook containing either a PDF upload or a JSON body with a text field. Extracts text from PDFs or uses the provided JSON text as-is. Sends the document text to PromptLock Guard to screen for regulated-data and prompt-injection risk, failing closed on screening errors. If the document is allowed or redacted, sends the cleaned text to Anthropic Claude and returns a structured JSON analysis in the webhook response. If the document is flagged, sends a Gmail notification email for human review instead of sending the content to the AI model. If the document is blocked (or screening is unavailable), returns a JSON webhook response indicating the block/unverified reason. Appends a per-document audit row (timestamp, action taken, risk score, and compliance status) to a DocAuditLog tab in Google Sheets. Setup Install the n8n-nodes-promptlock-guard communit
Sync SAP sales project fields between Microsoft SQL and Asana
Quick overview This workflow runs hourly to sync project records from a Microsoft SQL Server staging table into matching Asana projects, updating Asana custom fields and writing back sync status, errors, and the Asana project ID to the database. How it works Runs every hour and queries Microsoft SQL Server for up to 100 project records that are not yet synced (or previously failed) and have fewer than three sync attempts. Marks each selected record as “Processing” in SQL Server to prevent duplicate handling during the sync. Calls the Asana API to list projects in a specific portfolio and matches the SQL ProjectName to an Asana project name. If no Asana project matches, updates the SQL record to a “Waiting for Project ID” state with a message for manual project creation. If a match is found, retrieves the Asana project’s custom fields and builds an update payload mapping SQL values (manager, margin, revenue, costs, and dates) to Asana custom fields. Updates the Asana project via the Asana API and then marks the SQL record as “Completed” with the Asana project ID, or logs the error and marks the record as “Failed” while incrementing the attempt counter. Setup Create Microsoft SQL Ser