Kütüphane / Raporlar, Analitik ve Panolar
Raporlar, Analitik ve Panolar
Bright Data ve OpenAI ile Rakip LinkedIn Gönderilerini İzle
Bir LinkedIn şirket URL'siyle çalıştırıldığında bir ajan Bright Data ile son gönderileri çeker, OpenAI etkileşimi analiz eder ve sonuçlar Google Sheets'e gider.
Ne yapar
## 🚀 LinkedIn Company Post Analyzer Workflow This automation lets you input a LinkedIn company URL, scrape its latest 5 posts using Bright Data MCP, calculate engagement averages, and store everything neatly in Google Sheets. Whether you're a digital marketer, analyst, or business owner—this saves time and effort! --- ### 🔹 SECTION 1: Start & Input #### 🧩 Nodes: * 🔘 Trigger: Manual Start * 🔗 Set LinkedIn Company URL #### 💡 What Happens: This section is your starting point. You manually execute the workflow by clicking the play button, and then you enter the LinkedIn company profile URL in a form field. #### ✅ Beginner Tip: You don’t need coding skills. Just copy the company’s LinkedIn URL (e.g., https://www.linkedin.com/company/openai) and paste it here. This kicks off the whole automation! --- ### 🤖 SECTION 2: Smart Scraper Agent #### 🧩 Node: * 🤖 Agent: Fetch LinkedIn Posts (via MCP Tool) ##### 🧠 Sub-Nodes Inside the Agent: * 🧠 Chat Model: Understands your scraping request in natural language. * 🌐 Bright Data MCP Client: Actually visits LinkedIn via mobile proxies and scrapes the data. * 🧾 Parse AI Response: Converts raw results into structured post data. #### 💡 What Happens: This smart AI agent (powered by OpenAI + Bright Data) goes to the LinkedIn company page, scrapes the latest 5 posts, and organizes them. Bright Data MCP lets it bypass anti-bot systems by using mobile IPs, so it's reliable even on protected sites like LinkedIn. #### ✅ Beginner Tip: You don’t write any scraping code! The AI understands what to do and fetches posts like a human browser would. This is completely no-code for you. --- ### 📊 SECTION 3: Analyze & Save Metrics #### 🧩 Nodes: * 📈 Analyze Engagement Metrics * 📥 Save Averages to Google Sheets #### 💡 What Happens: Here, the automation calculates the average values (like likes, comments, etc.) from the 5 scraped posts using simple JavaScript logic. Then, it saves these average values into your first Google Sheet so you can track performance over time. #### ✅ Beginner Tip: This helps you measure content engagement across different companies. You can reuse this for competitive research, content benchmarking, or client reporting. --- ### 📄 SECTION 4: Format & Store Full Posts #### 🧩 Nodes: * 🧾 Format Post Content * 📥 Save Posts to Google Sheets #### 💡 What Happens: Now that averages are stored, this section
Adımlar
- 🔘 Trigger: Manual Start
- 🔗 Set LinkedIn Company URL
- 🤖 Agent: Fetch LinkedIn Posts (via MCP Tool)
- 🌐 Bright Data MCP Client
- 📈 Analyze Engagement Metrics
- 📥 Save Averages to Google Sheets
- 🧾 Format Post Content
- 📥 Save Posts to Google Sheets
- OpenAI Chat Model
- Auto-fixing Output Parser
- OpenAI Chat Model1
- Structured Output Parser
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