IPGeolocation

IPGeolocation

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25/05/2026

If you use Make, you have probably built this workflow before:

HTTP request module → manual API auth → nested JSON parsing → error handling → test → fix → test again.

An afternoon of work. For one IP lookup.

That is why most teams skip it. The IP flows through the scenario untouched. No location. No threat check. No enrichment. A raw string that tells you nothing.

IPGeolocation.io now integrates with Make as native modules.
Drag, drop, paste API key. Done.

Three scenarios that used to take a developer half a day:

1. Shopify fraud screening - order triggers IP security check. Country mismatch or proxy detected? Auto-tagged in Shopify. Threat context logged to Google Sheet for manual review. No code.

2. Lead qualification - new form triggers geolocation + ASN. Make's router splits: BUSINESS to enterprise, ISP to self-serve, HOSTING flagged and skipped.

3. Agency reporting - weekly bulk enrichment of 50,000 client IPs. Geo report pushed to Looker Studio. Client sees it Monday. Zero manual work.

Hours saved per week. Not because the logic changed. Because the setup went from an afternoon to minutes.

What IP workflow is your team still building the hard way?

https://ipgeolocation.io/integrations/make

22/05/2026

There are two types of traffic hitting your site. Traffic from people and traffic from servers.

The problem: they look identical at the protocol level. An AWS EC2 instance sends the same headers, same user agent, and geolocates to a real city just like a home broadband visitor.

The difference is invisible unless you check whether the IP belongs to a hosting provider.

IPGeolocation.io's IP Hosting Database identifies IP ranges belonging to hosting providers, cloud platforms, data centers, and colocation facilities. MMDB and CSV. Updated daily.

Where this matters:

1. Ad filtering - clicks from hosting IPs are not real eyeballs. Filter them before they drain your ad budget.

2. Signup protection - account from a hosting IP? Overwhelmingly automated. Flag or challenge it.

3. Analytics hygiene - hosting traffic inflates your pageviews and sessions. Filter at ingestion for accurate data.

4. Scraping protection - scrapers run on hosting infrastructure. Apply rate limits specifically to these IPs.

5. API abuse - automated API hammering almost always originates from hosting providers. Enforce stricter limits on infrastructure traffic.

The first filter for everything: is this traffic from a person or a server?

https://ipgeolocation.io/ip-hosting-database.html

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