Behavioral Pattern Simulation: Anatomy of a Mouse Track Generation Algorithm

How important is mouse track generation?

Many friends who do data collection have encountered such a pit: obviously changed the proxy IP, the target site can still recognize the machine operation. At this timeMouse movement trackIt becomes a key break - humans operate the mouse with natural pauses and arcs, while program-generated trajectories tend to be too straight and regular.

Last year, there was a project to do e-commerce price comparison, using ordinary proxy IP + fixed track script, the results of the next day 80% IP are blocked. Later they changed to use ipipgo's dynamic residential proxy + track simulation algorithm, the survival rate directly mentioned 90% or more. This gap tells you thatBehavioral model simulationand proxy IP quality go hand in hand.

The core three axes of the trajectory algorithm

Here's a simple algorithmic model for the guys to break down and focus on three elements:

As a concrete example, before clicking the button, a good algorithm will first make the cursor draw a "mosquito coil" in the target area, and then drop it precisely. Together with ipipgo'sDynamic IP Rotation MechanismThe operation characteristics of each IP are not repeated, and the anti-blocking effect is directly doubled.

How do proxy IPs buff the algorithm?

Many people think that changing the IP is to change a request header, in fact, there are many doors:

1. Geographic feature matching: When using a U.S. residential IP, the mouse trajectory should simulate the operating time pattern of users in the five western zones.
2. Device Fingerprint Binding: Each IP is fixedly bound to a specific browser fingerprint, and the trajectory parameters follow the device
3. Failure auto switch: ipipgo's API can switch to a new IP and continue the flow of operations within 0.5 seconds when a CAPTCHA is detected

Focusing on the third point, we have done the test: with ordinary proxy encounter verification code and then change IP, the success rate is only 40%; and ipipgo'sPredictive switchingThe key to being able to pull the success rate above 75% is in the real-time data interoperability between the track generator and the agent scheduler.

Hands-on configuration of real-world programs

Here's a program architecture that can be applied directly:

1. Pull dynamic IP pool from ipipgo backend (recommended)Long-term quality housing(Package)
2. Binding proxy with selenium-wire
3. Implantation of the trajectory generation module (code example below)

def human_move(element).
     Generate a bezier path with jitter
    trajectory = generate_bezier(start,end,jitter=0.3)
     Move by trajectory segments
    for point in trajectory.
        mouse.move_to(point)
        time.sleep(random.gauss(0.1,0.02))
     Add a random offset for the last 5 pixels
    final_click = polar_offset(element.center,3,360)
    mouse.click(final_click)

Frequently Asked Questions

Q: Why use a paid proxy? Can't the free ones work?
A: Most of the free proxies have been tagged, using them for track simulation is like going to the bank in a prison uniform - you are immediately targeted. ipipgo's IP pool is updated every 24 hours with 351 TP3T, ensuring that every operation is a "new face".

Q: Do the algorithms need to be adapted to different websites?
A: The core algorithm is generic, but it is recommended to adjust the two parameters according to the target website:
- Trajectory complexity (e-commerce stations require more complex paths)
- Operating intervals (information can be faster, finance slower)

Q: How is the concurrency performance of ipipgo?
A: The real test single machine can run 200 threads stably with theirIntelligent Routing SystemThe data collection speed has increased from 40,000 per hour to 40,000 per hour after using their agent. There is a customer doing airfare comparison, after using their agent, the data collection speed from 12,000 items per hour to 48,000 items.

Lastly, I would like to remind you that technology is a double-edged sword, and when you use a proxy IP to do behavioral simulation, you must comply with the robots agreement of the target website. There is another advantage to choosing a regular service provider like ipipgo - their IP pools are allCompliance Acquisitionof avoiding legal risks the quality of the data is also guaranteed.