1. **Overview of Tutorial**: - **Purpose:** Teaches how to capture screenshots for web scraping and analyze them using the GPT-4o model for conversion rate optimization and data extraction. - **Target Audience:** Users interested in web scraping, especially from complex or traditionally non-crawlable websites. 2. **Process Description**: - **Initial Steps**: - **Screenshot Creation:** Automatically capture screenshots from a given URL. - **Model Usage:** Use the GPT-4o model to analyze screenshots for data extraction or optimization advice. - **Roles of GPT-4o**: - **Conversion Optimization Specialist:** Provides strategies to enhance website conversion rates. - **HR Specialist:** Extracts key data from business network sites, like LinkedIn. 3. **Advantages of Using GPT-4o**: - **User-Friendliness:** Simplifies the scraping process, making it accessible to beginners. - **Complexity Handling:** Capable of understanding and processing intricate website structures. - **Data Analysis:** Offers insights and summaries from extracted data, enhancing utility for projects. 4. **Step-by-Step Guide**: - **Code-Free Setup**: - Capture a page screenshot and use it in the OpenAI Playground with the GPT-4o model. - System prompts guide the model to provide specific optimization advice. - **Automation Setup**: - **Environment and Tools:** Setup involves creating a virtual environment and installing Selenium. - **Scripting:** A simple script to open a URL, take a screenshot, and save it. - **Model Interaction:** Utilize the OpenAI Playground to further analyze screenshots and receive actionable feedback. 5. **Practical Demonstration**: - **Automation Execution:** Showcases the automatic opening of a browser, capturing a screenshot, and analyzing it via the GPT-4o model. - **Error Handling and Resolution:** Includes troubleshooting steps like setting an OpenAI key as an environment variable. 6. **Advanced Use Cases**: - **Business Networks:** Discusses potential for scraping business networks like LinkedIn, emphasizing adherence to legal and ethical guidelines. - **Customization for Specific Roles:** Example of adjusting system prompts for different professional roles, such as a Head Hunter extracting relevant candidate information in JSON format. 7. **Conclusion and Further Resources**: - **Learning Outcomes:** Demonstrates the process from basic setup to advanced customization for specific scraping needs. - **Additional Resources:** Mentions AI4devs.com for more tutorials and resources to enhance AI development skills.
Why do you blur the LinkedIn profile url just to show the whole LinkedIn page including the url im the browser screenshot some seconds later? Wanna see who’s curious enough? 😂 Great video!
The competition on TH-cam is fierce these days! Every little trick counts to reach that elusive 10k subscriber mark. Blurring the LinkedIn URL is just one of my sneaky strategies to keep you engaged and guessing. 😂
This is overkill for scraping a single page. For most cases, we'd probably want an actual web crawler that intelligently scrapes the relevant portions of a site without following external or irrelevant links. And if we need to crawl a substantial number of pages, I'd be concerned about making all those queries to GPT. Perhaps it would be more economical to compile all the screenshots into a single PDF, and dump that into GPT-4o for analysis with a single prompt? 🤷🏻♂️
The objective of this video is to give you another tool for your scraping challenges while keeping the example as simple as possible. I completely agree that there are easier ways to scrape a single website without scraping protection. Also, if you want to scrape multiple pages in a row, you should extend the code to your needs. However, consider cases where you use autonomous agents (e.g., CrewAI or Autogen) and want to allow the agent to see the website like humans do (e.g., for conversation optimization).
![[TH] 2024 PMSL SEA GF D2 | Summer | ร่วมส่งแรงใจ เชียร์ไทยไปพร้อมกัน](http://i.ytimg.com/vi/dN2gLsCJ0T0/mqdefault.jpg)
This is great tutorial! Thank you.
1. **Overview of Tutorial**:
- **Purpose:** Teaches how to capture screenshots for web scraping and analyze them using the GPT-4o model for conversion rate optimization and data extraction.
- **Target Audience:** Users interested in web scraping, especially from complex or traditionally non-crawlable websites.
2. **Process Description**:
- **Initial Steps**:
- **Screenshot Creation:** Automatically capture screenshots from a given URL.
- **Model Usage:** Use the GPT-4o model to analyze screenshots for data extraction or optimization advice.
- **Roles of GPT-4o**:
- **Conversion Optimization Specialist:** Provides strategies to enhance website conversion rates.
- **HR Specialist:** Extracts key data from business network sites, like LinkedIn.
3. **Advantages of Using GPT-4o**:
- **User-Friendliness:** Simplifies the scraping process, making it accessible to beginners.
- **Complexity Handling:** Capable of understanding and processing intricate website structures.
- **Data Analysis:** Offers insights and summaries from extracted data, enhancing utility for projects.
4. **Step-by-Step Guide**:
- **Code-Free Setup**:
- Capture a page screenshot and use it in the OpenAI Playground with the GPT-4o model.
- System prompts guide the model to provide specific optimization advice.
- **Automation Setup**:
- **Environment and Tools:** Setup involves creating a virtual environment and installing Selenium.
- **Scripting:** A simple script to open a URL, take a screenshot, and save it.
- **Model Interaction:** Utilize the OpenAI Playground to further analyze screenshots and receive actionable feedback.
5. **Practical Demonstration**:
- **Automation Execution:** Showcases the automatic opening of a browser, capturing a screenshot, and analyzing it via the GPT-4o model.
- **Error Handling and Resolution:** Includes troubleshooting steps like setting an OpenAI key as an environment variable.
6. **Advanced Use Cases**:
- **Business Networks:** Discusses potential for scraping business networks like LinkedIn, emphasizing adherence to legal and ethical guidelines.
- **Customization for Specific Roles:** Example of adjusting system prompts for different professional roles, such as a Head Hunter extracting relevant candidate information in JSON format.
7. **Conclusion and Further Resources**:
- **Learning Outcomes:** Demonstrates the process from basic setup to advanced customization for specific scraping needs.
- **Additional Resources:** Mentions AI4devs.com for more tutorials and resources to enhance AI development skills.
Amazing example 👏 👌 🙌 🎉🎉
Thanks :-)
Can this also be done using ollama and lava?
That's a great question. I haven't tried it yet, but using open-source solutions like Ollama and Lava sounds like an interesting idea.
Why do you blur the LinkedIn profile url just to show the whole LinkedIn page including the url im the browser screenshot some seconds later? Wanna see who’s curious enough? 😂
Great video!
The competition on TH-cam is fierce these days! Every little trick counts to reach that elusive 10k subscriber mark. Blurring the LinkedIn URL is just one of my sneaky strategies to keep you engaged and guessing. 😂
paying openai to use their API for webscrape while giving them a copy of the data, too. lol
This is overkill for scraping a single page. For most cases, we'd probably want an actual web crawler that intelligently scrapes the relevant portions of a site without following external or irrelevant links. And if we need to crawl a substantial number of pages, I'd be concerned about making all those queries to GPT. Perhaps it would be more economical to compile all the screenshots into a single PDF, and dump that into GPT-4o for analysis with a single prompt? 🤷🏻♂️
When it is converted into a pdf it is no longer an image and cannot be used as an input for vision.
The objective of this video is to give you another tool for your scraping challenges while keeping the example as simple as possible.
I completely agree that there are easier ways to scrape a single website without scraping protection. Also, if you want to scrape multiple pages in a row, you should extend the code to your needs. However, consider cases where you use autonomous agents (e.g., CrewAI or Autogen) and want to allow the agent to see the website like humans do (e.g., for conversation optimization).