Automated pipeline that extracts job listings from Upwork and exports them to Google Sheets for better organization, analysis, and team collaboration. 🚀 What It Does Fetches job postings based on saved searches Extracts key job details (title, budget, description) Organizes data in Google Sheets Updates in real-time Supports multiple search criteria 🎯 Perfect For Freelancers tracking opportunities Teams managing multiple projects Agencies monitoring client needs Market researchers Business analysts ⚙️ Key Benefits ✅ Centralized job board ✅ Easy sharing with team members ✅ Advanced filtering and sorting ✅ Historical data tracking ✅ Customizable data points 🔧 What You Need Upwork account Google account n8n instance Google Sheets setup 📊 Data Exported Job title and description Budget and hourly rate Client information Posted date Required skills Job URL 🛠️ Setup & Support Quick Setup Get started in 15 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Streamline your job search and opportunity tracking with automated data collection and organization.
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WAudit page schema and AI citation signals with GPT-4o-mini and Google Sheets
Quick overview This workflow reads page URLs from Google Sheets, fetches each page to extract schema and SEO freshness signals, uses OpenAI GPT-4o-mini to assess entity consistency and generate recommended JSON-LD, then writes an audit row with scores and prioritized gaps back to Google Sheets. How it works Runs manually to start an audit of all rows in the Google Sheets pages tab. Fetches each page_url over HTTP and parses the HTML to extract JSON-LD schema types, dates, author signals, canonical/robots tags, title/H1 query match, and a short content excerpt. Sends the extracted signals and excerpt to OpenAI (gpt-4o-mini) to score entity consistency, rank the biggest citation-impact gaps, and (when needed) generate a paste-ready JSON-LD block using placeholders for unknown values. Combines a deterministic technical checklist score with the OpenAI entity score into a weighted overall audit score and formats the top gaps and issues. Appends the full audit result (including scores, gaps, and recommended JSON-LD) to the Google Sheets audit tab with the run date. Setup Create an OpenAI HTTP Header Auth credential with Authorization: Bearer for calls to the Chat Completions API. Add a G
WEnrich LinkedIn profiles in Google Sheets with Apify
Quick overview This workflow reads LinkedIn profile URLs from Google Sheets, calls the Apify LinkedIn scraper to fetch profile details, and writes enriched fields (name, headline, job title, company, location, skills, positions, education, certifications, and follower data) back to the same rows. How it works Runs when you manually execute the workflow. Loads configuration values such as the LinkedIn URL column name, apify actor ID, contact-finding toggle, and batch size. Reads rows from the selected Google Sheets tab to get the LinkedIn profile URLs to enrich. Processes the sheet rows in batches to control throughput and respect Apify rate limits. For each row, sends the LinkedIn URL to apify and retrieves the scraped LinkedIn profile data. Updates the matching Google Sheets row (by row_number) with the returned profile fields, including skills, positions, education, and other metadata. Setup Add a Google Sheets OAuth2 credential and select the target spreadsheet and sheet tab in the read and update steps. Add an apify API token as HTTP Header Auth (Authorization: Bearer YOUR_APIFY_TOKEN) for the Apify request. Ensure your Google Sheet includes a column containing LinkedIn profile