How to Find Companies Using Adobe Fonts (API Guide 2026)

Most web fonts are free. Adobe Fonts is not: it comes bundled with a paid Creative Cloud subscription, which means every site serving fonts from use.typekit.net represents a company that writes Adobe a recurring check for typography. That makes it one of the few front-end signals that maps to a budget rather than a technology preference, and it is exactly the kind of filter that separates design-mature companies from everyone else.

This guide shows how Adobe Fonts is detected from the outside, and how to turn that detection into a prospect list using the DetectZeStack API. Every response shape below comes from the live API, and the worked example is a real site.

Why Companies Using Adobe Fonts Are a Valuable Prospect List

A company loading a licensed font library has made three decisions before you ever contact them, and each one qualifies them for a different kind of sale.

First, they pay for design. Adobe Fonts web projects ride on a Creative Cloud plan, so the signal implies an active Adobe subscription and, almost always, someone inside or near the company who uses it: an in-house designer, a brand team, or an agency on retainer. If you sell design tools, creative services, brand systems, stock assets, or anything else bought by design-led organizations, this is your audience pre-filtered.

Second, they care about brand consistency. Nobody licenses a typeface to make a website load faster; they do it because the brand's typography matters to them. Companies that invest in brand presentation tend to also buy adjacent things: photography, video production, marketing sites, conversion optimization, accessibility audits.

Third, the signal composes with the rest of the stack. Adobe Fonts on top of a marketing CMS suggests a brand-driven marketing site; Adobe Fonts next to an ecommerce platform suggests a DTC brand that invests in storefront presentation. A single scan returns all of it, so the same API call that finds the font signal also hands you the context that makes outreach specific.

How Adobe Fonts Is Detected on a Website

Adobe Fonts is served from Adobe's infrastructure, not the customer's. To use it, a site has to embed a loader that Adobe generates per web project, and that embed sits in the site's HTML where any visitor, including a scanner, can see it. There is no way to consume the service without advertising it.

The use.typekit.net Script and Stylesheet Signatures

The modern embed is a stylesheet. Adobe generates a project-specific CSS URL, and the site links it in the head:

<link rel="stylesheet" href="https://use.typekit.net/abc1def.css">

The seven-character path segment is the web project ID, unique per Adobe Fonts project. Older integrations use the JavaScript embed instead, a script served from use.typekit.com that injects the fonts at runtime:

<script src="https://use.typekit.com/abc1def.js"></script>
<script>try{Typekit.load({ async: true });}catch(e){}</script>

DetectZeStack matches both: a link tag pointing at use.typekit.net or use.typekit.com, and a script source on the use.typekit.com host. Either one resolves to Adobe Fonts with a confidence of 100, because there is no reason to load assets from Adobe's font hosts other than to serve Adobe Fonts. The Typekit global that the JavaScript embed creates only exists after the page executes its scripts; DetectZeStack analyzes the HTML the server returns and does not run a browser, so it keys on the embed itself rather than the runtime object. The same integration produces both, so nothing is lost.

One thing will surprise you the first time you scan a site with a live embed: the API returns two entries, Adobe Fonts and Typekit, both in the Font scripts category. Typekit was the product's name until Adobe rebranded it in 2018, the serving hostnames never changed, and both fingerprints key on the same signatures. They describe one integration. Filter on either name, or on the category, and do not count them twice.

DNS and Network-Level Signals

Some technologies leave a trail in the customer's own DNS: a managed platform adds a CNAME, an email tool adds an SPF include. Adobe Fonts leaves none, because the fonts load from Adobe's domain rather than the customer's. There is no record on example.com that says Adobe Fonts; the only evidence is the embed in the HTML.

That has a practical consequence for list building. Every Adobe Fonts detection carries "source": "http", meaning it came from the page the site returned. If a site answers a scan with an error page instead of its real HTML, the embed is not there to see, and the detection cannot fire even though the site uses the service. DNS-sourced and TLS-sourced signals in the same scan, like the CDN or the certificate authority, still come back. The status code caveat below covers how to handle this without silently dropping real users from your list.

Checking a Single Domain for Adobe Fonts (Free Demo Endpoint)

Before writing any code, confirm the signal by hand. The /demo endpoint needs no API key and no signup. Behance, Adobe's own portfolio network, is a convenient live example:

curl -s "https://detectzestack.com/demo?url=behance.net" \
  | jq '.technologies[] | select(.name == "Adobe Fonts")'

Which returns:

{
  "name": "Adobe Fonts",
  "categories": [
    "Font scripts"
  ],
  "confidence": 100,
  "description": "Adobe Fonts is a web-based service providing access to a vast library of high-quality fonts for web and print design.",
  "website": "https://fonts.adobe.com",
  "icon": "Adobe Fonts.svg",
  "source": "http"
}

Three fields matter for prospecting. categories places the detection under Font scripts, the value to filter on if you want every hosted font service in one pass. confidence is 100, meaning the embed matched exactly rather than through a weaker heuristic. source is http, meaning the signal came from the HTML response, which is the only place Adobe Fonts can appear.

API Example: Detect Adobe Fonts with DetectZeStack

The demo endpoint is rate limited and meant for spot checks. For real volume, get a free API key from RapidAPI and use the authenticated endpoints.

GET /analyze — Full Tech Stack for One Domain

curl -s "https://detectzestack.p.rapidapi.com/analyze?url=behance.net" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: detectzestack.p.rapidapi.com" | jq '.'

The response carries the whole stack, not just the font service:

{
  "url": "https://behance.net",
  "domain": "www.behance.net",
  "technologies": [
    { "name": "Adobe Fonts",   "categories": ["Font scripts"],           "confidence": 100, "source": "http" },
    { "name": "Typekit",       "categories": ["Font scripts"],           "confidence": 100, "source": "http" },
    { "name": "Vue.js",        "categories": ["JavaScript frameworks"],  "confidence": 100, "source": "http" },
    { "name": "Varnish",       "categories": ["Caching"],                "confidence": 100, "source": "http" },
    { "name": "HSTS",          "categories": ["Security"],               "confidence": 100, "source": "http" },
    { "name": "HTTP/3",        "categories": ["Miscellaneous"],          "confidence": 100, "source": "http" },
    { "name": "Let's Encrypt", "categories": ["SSL/TLS certificate authority"], "confidence": 70, "source": "tls" }
  ],
  "categories": {
    "Font scripts": ["Typekit", "Adobe Fonts"],
    "JavaScript frameworks": ["Vue.js"],
    "Caching": ["Varnish"],
    "Security": ["HSTS"],
    "Miscellaneous": ["HTTP/3"],
    "SSL/TLS certificate authority": ["Let's Encrypt"]
  },
  "meta": { "status_code": 200, "tech_count": 7, "scan_depth": "full" },
  "cached": false,
  "response_ms": 3668
}

Note the double entry under Font scripts: the same use.typekit.net embed matched both the Adobe Fonts and the legacy Typekit fingerprint, exactly as described above. The categories object is the fastest way to consume this programmatically. It is a map from category name to the technologies found in it, so checking whether a site uses a hosted font service is a single key lookup rather than a scan of the array.

GET /check?tech=Adobe%20Fonts — Yes/No With Confidence Score

When you only need a boolean, /check returns one instead of making you filter the full stack yourself. The technology name has a space, so URL-encode it:

curl -s "https://detectzestack.p.rapidapi.com/check?url=behance.net&tech=adobe%20fonts" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: detectzestack.p.rapidapi.com" | jq '.'

{
  "domain": "www.behance.net",
  "technology": "Adobe Fonts",
  "detected": true,
  "confidence": 100,
  "version": "",
  "categories": ["Font scripts"],
  "response_ms": 412,
  "cached": false
}

The tech parameter is case insensitive, so tech=adobe%20fonts works and the response echoes back the canonical name Adobe Fonts. When the technology is absent, detected is false and confidence is 0. Adobe Fonts does not expose a version to the outside world, so version is an empty string; that is expected and not a failed detection.

Scaling Up with POST /analyze/batch

Batch is how you work through a list. It accepts up to 10 URLs per request and scans them concurrently:

curl -s -X POST "https://detectzestack.p.rapidapi.com/analyze/batch" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: detectzestack.p.rapidapi.com" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["behance.net", "example.com", "stripe.com"]}' \
  | jq -r '.results[]
      | select(.result.technologies[]?.name == "Adobe Fonts")
      | .result.domain'

The response wraps one result per URL with a per-item error field, so a single unreachable domain does not fail the batch, and the jq filter above prints only the domains where Adobe Fonts was found. Each URL in a batch counts as one request against your monthly quota; batching saves round trips and wall-clock time, not quota.

You can also invert the question entirely. GET /lookup?tech=Adobe%20Fonts returns domains already in DetectZeStack's scan index that were previously observed running Adobe Fonts, each with first_seen and last_seen dates. A domain whose first_seen is recent just adopted the service, which usually means an active brand refresh, and there is no better moment to sell into a company than mid-rebrand. Rows per request are capped by plan: 2 on free, 50 on Pro, 200 on Ultra, 800 on Mega, paged with limit and offset.

Building an Adobe Fonts Prospect List End to End

Putting it together: read domains from a file, scan them in batches of 10, keep the Adobe Fonts users, and write a CSV your CRM can ingest.

import csv
import requests

API = "https://detectzestack.p.rapidapi.com/analyze/batch"
HEADERS = {
    "X-RapidAPI-Key": "YOUR_KEY",
    "X-RapidAPI-Host": "detectzestack.p.rapidapi.com",
    "Content-Type": "application/json",
}
BATCH_SIZE = 10  # API maximum per request


def scan(domains):
    """Scan up to 10 domains, yielding (domain, tech_names, status_code)."""
    resp = requests.post(API, headers=HEADERS, json={"urls": domains}, timeout=60)
    resp.raise_for_status()
    for item in resp.json()["results"]:
        result = item.get("result")
        if not result:
            print(f"  skipped {item['url']}: {item.get('error', 'no result')}")
            continue
        names = [t["name"] for t in result.get("technologies", [])]
        status = result.get("meta", {}).get("status_code")
        yield result["domain"], names, status


def main():
    with open("domains.txt") as f:
        domains = [line.strip() for line in f if line.strip()]

    prospects = []
    for i in range(0, len(domains), BATCH_SIZE):
        chunk = domains[i:i + BATCH_SIZE]
        print(f"Scanning {i + 1}-{i + len(chunk)} of {len(domains)}...")
        for domain, techs, status in scan(chunk):
            if status != 200:
                # No page HTML means the font embed cannot be seen.
                print(f"  {domain}: status {status}, inconclusive")
                continue
            if "Adobe Fonts" in techs:
                prospects.append({
                    "domain": domain,
                    "stack": ", ".join(techs),
                })
                print(f"  {domain}: Adobe Fonts")

    with open("adobe_fonts_prospects.csv", "w", newline="") as f:
        writer = csv.DictWriter(f, fieldnames=["domain", "stack"])
        writer.writeheader()
        writer.writerows(prospects)

    print(f"\n{len(prospects)} Adobe Fonts sites out of {len(domains)} domains.")


if __name__ == "__main__":
    main()

The script records the whole stack alongside the font flag because the stack is the research. "I noticed you license your web typography through Adobe" is a decent opener; knowing the site also runs a specific CMS, an A/B testing tool, or an ecommerce platform is what turns it into a relevant one. For scaling this pattern past a few hundred domains, see how to batch scan 1,000 websites, and for pushing the output into a CRM, see tech stack enrichment for sales teams.

Adobe Fonts vs Google Fonts: What the Signal Tells You About a Company

Both land in the Font scripts category, so a category filter catches both. What separates them is what each implies about the company behind the site.

The pairing is often more informative than the tool. Adobe Fonts on a marketing site with a paid analytics stack is a company that invests across the funnel. Google Fonts on a site that otherwise runs expensive tooling suggests typography simply is not where their identity lives. And a site that recently switched from Google Fonts to Adobe Fonts, which you can catch by comparing scans over time, is very likely mid-rebrand. The same prospecting logic applies to other paid-tool signals; see how it plays out with Klaviyo on the retention side and Google Hosted Libraries on the free-CDN side of the same spectrum.

Rate Limits, Caching, and Cost

Plans are the standard DetectZeStack tiers, and every URL scanned counts as one request:

Results are cached for 24 hours by default. A cache hit comes back with "cached": true, which is worth knowing when you are benchmarking: rescanning the same domain twice in a row measures the cache, not the scanner.

Get Your API Key and Start Detecting

Adobe Fonts is a quiet signal with a loud implication: a company that pays for typography pays for design, and a company that pays for design buys the things design-led companies buy. Detecting it takes one API call, and the same call hands you the rest of the stack for free.

Start with /demo to confirm the signal on a site you already know. Move to /check when you want a boolean, /analyze/batch when you have a list, and /lookup when you want the index to hand you a head start.