Data Scraping
Leverage a Large Number of IPs Conceal true identity and bypass geographical and platform restrictions. Use multi-threading to flexibly switch IPs and efficiently collect data from multiple sources, ensuring the data is comprehensive, accurate, and timely

Challenges of Data Scraping

Access Restrictions
Limit the request frequency from the same
IP address to prevent web scraping abuse

Scale Limitations
Large-scale data scraping requires handling
numerous pages, but many tools are too slow
to meet enterprise needs

Data Quality
Scraped data may have missing, incorrect,
or incomplete issues, affecting accuracy
and reliability

Scraping efficiency
Frequent requests to the same website can trigger
anti-scraping mechanisms, leading to IP bans

Achieve global scraping
Collect data from websites in different regions to provide comprehensive support for market decisions
- Ensure high anonymity to reduce the risk of being identified and blocked by target websites
- Support large-scale concurrent connections, capable of handling multiple data scraping tasks simultaneously
- Intelligent IP allocation and management functions to automatically assign the most suitable IP address
Multithreaded long-term operation
Stable network connection and efficient IP allocation mechanism to ensure long-term multi-threaded operation
-
Smart IP swap
Intelligent IP rotation function to automatically switch IP addresses based on the needs of scraping tasks
-
Resource speed dating
Support flexible task scheduling to reasonably allocate resources based on data scraping tasks

Halo Project
Launch the “Halo Project” to support diversified online business development

Simulate real residential IP environment





Meet stable proxy network demands





Adapt to diverse proxy network businesses




Targeted Solutions
Meet diverse internet business needs of different customer groups











