Challenge analysis
Performance bottlenecks and network limitations of local computers can affect the efficiency of large-scale data crawling.
Cloud Solutions
- Resource Extension: Purchase Simular Pro package ($50+/month) to get a dedicated cloud server that supports up to 100 concurrent tasks
- distributed crawl: Split large tasks into multiple sub-tasks in the task setup and automatically assign them to different regional nodes by the system
- stop-and-go (computing): Cloud Tasks automatically saves progress to the /CloudTasks/ path after interruption, and can be resumed from the breakpoint after resumption.
- Result aggregation: Automatically merge data after capture, download via SFTP or encrypted link, retain original data for 7 days
Cost Control Tips
1) Take advantage of "Idle Time Discount" to enjoy 20% discount on tasks performed from 0:00-6:00 UTC 2) Save 20% by pre-saving annual subscription 3) Set up low priority queues for non-real-time data to reduce costs.
This answer comes from the articleSimular Browser: an AI browser that intelligently automates web operationsThe
May not be reproduced without permission:AI productivity tools " How to overcome local environment limitations to achieve large-scale data crawling tasks in Simular Browser?
