T-Mobile as a network path for your crawlers

Data teams pick T-Mobile for a few concrete reasons: a large mid-band 5G footprint, a well-known mobile ASN, and address pools that look exactly like the phones your audience carries. At WeProx a T-Mobile line means one physical device and SIM in a US metro, dedicated to your account, exposed through HTTP(S) and SOCKS5 with credentials that never change. Unlimited data on every plan means you size the job by pages and hours, not gigabytes. Here is how to integrate a T-Mobile exit into a scraping stack and keep the output trustworthy.

Identifying T-Mobile traffic in your logs

T-Mobile USA announces its mobile network as AS21928. When your job starts, fetch the exit address through the line and confirm the ASN; a mismatch means the request never went through the proxy, which is a common misconfiguration when a client library ignores environment variables. Fail the job early rather than collecting a dataset from your own server's address.

Because T-Mobile uses carrier-grade NAT for mobile IPv4, the public address is shared with ordinary subscribers and will change across reconnects. Log the address per batch, but do not use it as a primary key.

Hooking the line into common tooling

The dashboard lists host, port, username and password for each line, with separate ports for HTTP and SOCKS5. Nearly every scraping stack accepts one or the other.

• HTTP clients such as Python requests, httpx or curl: use the HTTP port with credentials in the proxy URL.
• Headless Chromium or Playwright: pass the SOCKS5 or HTTP endpoint at launch and authenticate per context.
• Frameworks with middleware: set the proxy once in middleware and call the rotation API from a spider signal.
• Anything needing UDP, such as QUIC experiments: use SOCKS5 with UDP enabled.

Mid-band 5G and why it helps heavy pages

T-Mobile's 5G relies heavily on its 2.5 GHz mid-band spectrum. Where our device sits in that coverage, 5G throughput typically exceeds 50 Mbps, while 4G lines typically land around 20 to 45 Mbps; real numbers depend on signal. For JavaScript-heavy pages rendered in a browser, the extra headroom on 5G shortens render time noticeably. For lightweight JSON endpoints, 4G is usually sufficient and the cheaper option.

WeProx prices T-Mobile the same as the other carriers. A 4G line is $4 per day, $26 per week or $60 per month; a 5G line is $6 per day, $32 per week or $75 per month. There is no per-gigabyte charge on any plan.

Designing rotation around the carrier pool

Rotation on a mobile line is a real reattach to T-Mobile, which then assigns an address from its regional pool. Rotations are unlimited and there is no cooldown, so the constraint is the pool itself: it is finite, and repeats over a day are normal. Design for that. Track which addresses you have used in the last hour and, if your target rate-limits per address, rotate again when you draw a recent one rather than assuming each rotation is unique.

Sticky mode suits multi-step flows such as search, paginate, open detail. Per-request mode suits flat lists of independent URLs. Many teams run two T-Mobile lines, one sticky and one per-request, and route tasks by type.

Instrument the rotation call itself. Measure the time from the API request to the first successful fetch on the new address, and alert if it drifts. That number is a useful health signal for the line and a quick way to separate a slow target from a slow reattach.

Metro selection and data consistency

Carrier and hardware are chosen at checkout, and T-Mobile availability varies by metro across New York, Los Angeles, Chicago, Houston, Phoenix, Miami, North Carolina and Boston. Houston has the most hardware overall, which makes it a reliable place to find stock. Boston is 4G LTE only.

For time series such as price tracking, keep the metro constant so that regional variation does not contaminate the trend. When you do need a new region, move the line from the dashboard; moves are free and self-service. Collect only public data you are permitted to collect, honor the target's terms, and keep request rates sensible. If you run parallel studies in two regions, give each its own line rather than moving one back and forth, so each series has a single, documented origin. Our support team answers 24/7 by email and Telegram if a crawl starts behaving strangely.

T-Mobile proxy questions