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What Is a Concurrent Session?

A concurrent session is an active connection made through a proxy server that runs at the same time as other connections. Each session represents a live channel between your device or application and the target website, established via the proxy. When multiple of these are open simultaneously, they are considered concurrent sessions.

Concurrent SessionConcurrent Session

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Think of sessions as the “lanes” your proxy traffic uses. Every time your script, browser, or app sends a request through a proxy and maintains a connection, that’s a session. If you open ten browser tabs with the same proxy, that’s ten sessions. If your scraper is running 500 threads at once, that’s 500 concurrent sessions.

Proxy providers often cap the number of concurrent sessions to ensure network stability and to prevent a single user from overwhelming the pool. For example, a plan might allow 100 concurrent sessions, meaning you can only have 100 active connections at any given moment. Once you exceed that limit, new requests may be throttled or rejected. At Massive, we provide unlimited concurrent sessions.

For developers, understanding this limit is crucial: high-volume tasks like scraping, SEO monitoring, or sneaker copping may require dozens or even thousands of concurrent sessions. Managing them efficiently helps you avoid wasted bandwidth, IP bans, or failed tasks.

Example (Python scraping with proxies)

import requests
from concurrent.futures import ThreadPoolExecutor

proxy = "http://user:pass@proxyserver:port"

def fetch(url):
    return requests.get(url, proxies={"http": proxy, "https": proxy})

urls = ["https://example.com/page/" + str(i) for i in range(100)]

# This will create 100 concurrent sessions through the proxy
with ThreadPoolExecutor(max_workers=100) as executor:
    results = list(executor.map(fetch, urls))

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Use Cases

Web Scraping at Scale

When running a large scraper, each thread may open its own session through the proxy. More concurrent sessions mean more pages collected in less time.

E-commerce and Sneaker Bots

Sneaker bots often launch hundreds of checkout tasks in parallel. Each task uses a concurrent session, which is why session limits directly impact bot performance.

Data Collection Across APIs

Proxies enable automated queries to APIs. Concurrent sessions let you send multiple requests simultaneously without waiting for one to finish before starting another.

Best Practices

Match Your Plan to Your Needs

If you run a lightweight script, a low session cap is fine. But for high-volume scraping, choose a plan with enough concurrent sessions to avoid bottlenecks.

Close Idle Sessions

Don’t leave unused sessions open. Idle sessions still count toward your cap and can block new connections.

Use Rotation Wisely

Pair session concurrency with IP rotation. This avoids suspicious spikes in traffic from a single IP, reducing the risk of bans.

Conclusion

A concurrent session is simply one active connection through a proxy. Running multiple sessions at the same time speeds up tasks like scraping, but also consumes more of your allocated session pool. Managing them well keeps your proxies efficient, prevents errors, and ensures you stay within provider limits.

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Frequently Asked Question

Are concurrent sessions the same as bandwidth?

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No. Sessions are about simultaneous connections, while bandwidth measures the total volume of data transferred.

What happens if I exceed my concurrent session limit?

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Your provider may throttle new requests, reject them, or terminate idle sessions until you drop back under the cap.

Can multiple users share one account’s concurrent sessions?

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Yes, but the limit applies to the whole account. If one teammate uses 50 sessions and another uses 70, that’s 120 total—possibly exceeding your plan’s limit.

How do concurrent sessions differ from concurrent logins?

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A login is simply signing into the proxy network. Sessions are the ongoing connections after login. One login can spawn many sessions.

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