## Advanced Scraping: ASN vs Geo Targeting - Why Location Alone Isn't Enough Here's something most scraping guides won't tell you: **Booking.com Thailand IPs consistently show hotel rates 40% cheaper** than identical queries from US proxies. **Alibaba supplier catalogs expose completely different MOQ tiers** based on request origin. The thing is, geo-targeted platforms don't just check IP location anymore. They're fingerprinting carrier reputation, **[ASN](https://www.cloudflare.com/learning/network-layer/what-is-an-autonomous-system/) trust scores**, and **mobile network health metrics** before serving content. Most scraping setups treat geo-targeting as a simple location match - rotate through residential IPs in the target country, bypass the geo-fence, extract data. That approach now fails on platforms with layered anti-bot systems. The missing piece isn't location accuracy. It's **ASN and mobile carrier intelligence** that platforms use to separate legitimate mobile users from proxy pools, and geo rotation without ASN awareness burns through residential IP pools faster than they can be replenished. ## Why Geo-Targeting Alone Keeps Failing Platforms like **Booking.com** and **Alibaba** don't just verify an IP resolves to Thailand or Germany. They cross-reference **[ASN ownership](https://www.cloudflare.com/learning/network-layer/what-is-an-autonomous-system/)**, check if that autonomous system number belongs to a known mobile carrier, and score the request against behavioral patterns from that network. A residential proxy from a datacenter-adjacent ASN in Bangkok triggers different content filters than a genuine AIS mobile connection. Same city, completely different trust levels. The real problem shows up when scrapers assume location is the only variable. **Pure geo-rotation through residential pools typically experiences higher block rates within the first few hundred requests.** Switching to **ASN-aware [mobile proxies](/proxies)** from recognized carriers significantly reduces failures. Same targets, same request patterns. **Booking.com's pricing engine serves different rate cards based on [carrier reputation scoring](https://blog.maxmind.com/2024/07/impact-of-consumer-privacy-networks-on-geolocation-online-security-and-business-tactics/).** A request from Verizon or AT&T mobile networks gets standard rates, but the same hotel queried through a Thailand-based mobile carrier ASN shows rates averaging **40% lower** because platforms assume local purchasing power. It's not just pricing either. **Alibaba locks supplier MOQ visibility behind geo+carrier checks** - European mobile IPs see bulk order minimums a fraction of what US datacenter proxies encounter. ## How ASN and Mobile Carrier Intelligence Changes Scraping Understanding **ASN vs Geo scraping** as complementary rather than competing approaches is key. It's about layering ASN intelligence on top of geo-targeting to match how platforms actually validate requests. Every [IP address](https://www.cloudflare.com/learning/dns/glossary/what-is-my-ip-address/) belongs to an ASN, which is basically a block of addresses controlled by an ISP, hosting provider, or mobile carrier. Platforms maintain **reputation databases** for these autonomous systems. **AT&T's mobile ASN (AS7018)** carries inherently higher trust than a small residential ISP's ASN that's been recycled through proxy services. **Mobile carrier ASNs get scored differently** because they represent real device connections with SIM authentication and tower handoffs. A request from T-Mobile's ASN includes implicit signals - the IP rotated naturally through CGNAT, it's attached to legitimate mobile infrastructure, and the carrier enforces baseline abuse controls. The workflow here is pretty straightforward: First, **ASN proxy rotation through mobile carriers prevents the residential pool burnout** that kills most scraping operations. Instead of cycling through a finite set of residential IPs until the entire subnet gets flagged, **mobile ASNs naturally rotate through [carrier CGNAT pools](https://blog.cloudflare.com/detecting-cgn-to-reduce-collateral-damage/)** with millions of active devices providing cover traffic. Then platforms see **authentic mobile signatures** instead of recycled residential pool addresses, which keeps success rates high over longer periods. ## WAF Bypass Through Carrier Reputation **Web application firewalls don't just block suspicious IPs. They score entire ASN ranges.** A single sketchy request from one IP in a datacenter ASN can taint the reputation of thousands of adjacent addresses. Mobile carrier ASNs benefit from **collective legitimacy** - millions of regular users generate normal traffic patterns that mask scraping activity when it's properly rate-limited. The tricky part is blending into that carrier's typical usage fingerprint to [avoid proxy bans](/blog/avoid-proxy-bans-fingerprinting-session-management). **AT&T mobile proxies typically show 80-90% success rates** across geo-mandated platforms because the ASN carries inherent trust. Platforms assume AT&T enforces abuse policies and maintains network quality, so requests from that ASN start with higher reputation scores. **Mobile ASN alone isn't enough though.** RSRP (Reference Signal Received Power) measures mobile signal strength, and platforms with advanced fingerprinting check for consistency in connection quality. A mobile IP showing **perfect signal strength 24/7 looks suspicious** because real mobile connections fluctuate as devices move between towers. Rotating through mobile ASNs too aggressively triggers velocity checks. Platforms expect mobile IPs to maintain sessions for minutes or hours, not rotate every 30 seconds. Some providers claim mobile proxies but route through datacenter infrastructure with spoofed headers. The ASN still resolves to a hosting company, not a carrier, and platforms detect this instantly. ## Setting Up ASN-Aware Scraping Start by identifying which platforms actually enforce carrier-level checks. Not every site cares about ASN reputation - simple geo-fencing is still common for content localization. **E-commerce platforms, travel booking sites, and B2B marketplaces increasingly layer ASN scoring into their [bot detection systems](https://developers.cloudflare.com/bots/get-started/bot-management/)** though. For these targets, the scraping setup needs to: **Route requests through verified mobile carrier ASNs.** A quick ASN lookup should resolve to the carrier (AT&T, Verizon, international equivalents), not a datacenter or proxy company. **Match session duration to mobile patterns.** Real mobile users don't rotate IPs every request. Maintain sticky sessions for 10-30 minutes, then rotate to a new IP within the same carrier ASN to mimic normal mobile app behavior. **Respect carrier rate limits.** Mobile networks have bandwidth constraints. **Throttle to 2-5 requests per second per IP** to stay under the radar, because blasting 1000 requests per second through a mobile proxy looks nothing like legitimate mobile traffic. VoidMob's mobile proxy dashboard shows ASN details for each connection, letting users verify carrier routing and monitor reputation scores in real-time when [scraping geo-mandated platforms](/blog/alibaba-supplier-scraping-mobile-proxies-geo-blocks). ## Troubleshooting ASN and Geo Targeting Issues Even with proper ASN selection, occasional blocks will happen. Platforms update their fingerprinting constantly, and carrier reputation scores fluctuate based on network-wide abuse patterns. If success rates suddenly drop, check whether the carrier ASN recently appeared in abuse reports. Some mobile carriers have lax abuse policies, and once spammers exploit that network, the entire ASN's reputation tanks. **Switch to a different carrier ASN in the same geo-region** - if AT&T's reputation dips, rotate to Verizon or T-Mobile. Geographic location stays consistent while leveraging a cleaner ASN reputation. Session fingerprint mismatches cause silent failures. An IP resolves to a mobile carrier ASN, but the TLS fingerprint screams "datacenter bot." Platforms cross-reference these signals, and inconsistencies trigger blocks. **Use mobile-native [user agents](https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/User-Agent)** and ensure the HTTP client mimics actual mobile browser behavior. Libraries like curl-impersonate or browser automation tools with mobile device emulation help align fingerprints with the carrier ASN being used. Monitor RSRP proxy health metrics if the provider exposes them. Consistent signal strength patterns (always -70 dBm, never fluctuating) indicate simulated mobile connections that platforms can detect. ## FAQ ## Wrapping Up **Geo-targeting gets access to the platform. ASN intelligence keeps that access working.** Platforms with dynamic pricing and region-locked inventory validate both location and network reputation before serving content. **Scraping strategies that ignore mobile carrier ASNs burn through proxy pools and experience higher block rates.** Layering ASN awareness through recognized mobile carriers significantly reduces failures while extending proxy lifespan from days to weeks. The **ASN vs Geo scraping** debate isn't really about choosing one approach. It's recognizing that scraping requires both, weighted toward ASN reputation when targeting platforms that enforce carrier-level checks.

#Asn

Advanced Scraping: ASN vs Geo Targeting