技术应用 Use web scraping to collect comments, then use the OpenAI ChatGPT API to analyze customer leads and generate targeted sales scripts.

Disclaimer: This content is only for study and research. No tools and no services are provided. Please do not ask.

The overall process is to scrape information such as videos, images, and other content from self-media across the internet, analyze the potential customer needs in it, then use the ChatGPT API to analyze the content and the reply content. Depending on the situation, contact details such as WeChat can be added to the sent content. Then wait for customers to add the WeChat bot bound to the trained ChatGPT, let the bot chat on its own, and close deals automatically.

Specific Steps

Step 1: Use a crawler to obtain content lists and content comments.
Step 2: Process the data. The purpose of this part is to remove redundancy and adjust it into a format that ChatGPT can more easily accept.
Step 3: Use the ChatGPT API to make targeted replies to the processed content.

Notes

There are several design difficulties to pay attention to here. I will give two examples of common problems.

1. The API and the ChatGPT web version are not the same model, and the API model has not been trained, so using prompts to operate the API is somewhat difficult. Look this up online; it is rather complex, and this site has not yet provided such materials. I will write about it later when I have time.
2. Pay attention to the API model you choose and the price. Before use, start with a small amount of data and limit the number of inputs and outputs per unit time, so you don't waste tokens if things are not set up properly.
3. API models have different capabilities, so you need to choose a model that suits you according to project requirements. Newer models are certainly better to use, but they are also more expensive. Find your threshold to save money.