This can be achieved through the system's product search and data analysis functions:
Data collection phase
1. Use Playwright component to get real product data (Chromium required)
2. Filter by "people want" number of sorting pop-up products
3. Set up a timed task to automatically collect key information such as price/description of competing products.
Analyzing the application phase
1. Export commodity data in Excel format on the data management page.
2. Analysis of high-frequency keywords to optimize the title of their products
3. Adjusting autoresponders against competitors' shipping strategies
4. Monitor hotspots of buyer inquiries in the log to improve product details.
caveat::
- Docker Deployment with Built-in Browser Environment
- Avoid high-frequency requests triggering Idlefish's anti-crawl mechanism
- Adjust the acquisition frequency with the system's own performance monitoring
This answer comes from the articleIdlefish autoresponder system: Idlefish intelligent customer service and commodity automatic shipping toolsThe
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