Find Companies Using Elementor: Technographic API Guide

Elementor powers millions of WordPress sites as a drag-and-drop page builder. If you sell anything that touches the Elementor ecosystem—an add-on widget pack, a template kit, a faster host for builder-heavy sites, a conversion-optimization service, a competing or complementary page builder—then "company that already runs Elementor" is one of the sharpest filters you can apply to a prospect list. Everyone else needs convincing; Elementor users have already committed to visual WordPress building.

The hard part is going from "I want Elementor users" to "here is a CSV of 318 confirmed Elementor sites in my target market." This guide walks the practical pipeline: why the filter matters, how Elementor is detected, how to run it at scale through the DetectZeStack API, and how to turn the raw detections into a qualified lead list.

Why Find Companies Using Elementor?

Technographic prospecting beats firmographic prospecting whenever your product has a hard compatibility requirement, and a page builder is exactly that kind of requirement. An Elementor add-on widget is useless on a Webflow site. A template kit built for Elementor cannot import into Squarespace. A migration-off-Elementor service is irrelevant to anyone not already on it. Filtering out non-Elementor prospects before you ever send an email is the difference between a campaign that converts and one that annoys.

Concrete teams that want a "find companies using Elementor" pipeline:

• Add-on and widget developers. Companies selling Elementor extensions (mega-menus, form widgets, dynamic content packs) waste budget reaching non-Elementor sites. An Elementor-confirmed list is pure addressable market.
• Template and theme-kit sellers. A library of Elementor templates only matters to people who can open them in Elementor. The detection is the qualification.
• WordPress hosts and performance services. Builder-heavy pages are often heavier than hand-coded ones, which makes Elementor sites strong leads for a faster managed host or a performance audit.
• Agencies and freelancers. "Runs Elementor, no caching plugin detected, Google Analytics present" is a clean shortlist for a performance-and-conversion retainer pitch.

In every case the bottleneck is lead quality, not lead supply. A scraped list of random WordPress domains wastes sales time; an Elementor-confirmed list—ideally enriched with hosting and analytics neighbors—converts far better. If you want the broader WordPress angle first, see Find Companies Using WordPress, of which Elementor detection is a more specific cut.

How Elementor Detection Works

Elementor is a WordPress plugin, so it cannot exist on its own—wherever you find Elementor you also find WordPress underneath it, almost always with PHP and a MySQL database in the same stack. That dependency chain is useful: an Elementor detection is implicit confirmation that the site is self-hostable WordPress where the owner can install plugins, which is precisely the audience most Elementor-adjacent products want.

The good news for detection is that Elementor is not shy about leaving traces. To render a page, it has to ship its own CSS and JavaScript into the HTML, and those assets carry recognizable paths and class names that are visible in the raw response—no browser automation required.

Signals DetectZeStack Looks For

DetectZeStack reads the HTTP response (headers plus rendered HTML) and matches it against a fingerprint library of more than 7,500 technologies. For Elementor, the high-signal markers include:

• Asset paths. Stylesheets and scripts served from /wp-content/plugins/elementor/ and generated CSS under /wp-content/uploads/elementor/ are a direct giveaway.
• CSS class names. Elementor wraps its sections and widgets in elementor, elementor-section, elementor-widget, and similar classes that appear all over the markup.
• Generator and meta hints. Some installs expose an Elementor generator meta tag or inline version comment.
• WordPress co-signals. Because Elementor implies WordPress, the same scan typically returns WordPress, PHP, and often MySQL, which both raises confidence and gives you stack-neighbor data for free.

The result comes back with Elementor tagged under the Page builders and WordPress plugins categories. For the underlying CMS view of the same signal, the detect what CMS a website uses guide explains how WordPress itself is fingerprinted, and how to check if a website uses WordPress covers the manual single-site checks.

Detect Elementor With the DetectZeStack API

Start with a single domain before you run a thousand. The two endpoints you will use are /demo (no key, rate-limited, good for testing) and /analyze plus /analyze/batch (authenticated, for production volume).

Single-Domain Scan With curl

The public demo endpoint requires no API key, so you can try it on any known Elementor site right now:

curl -s "https://detectzestack.com/demo?url=elementor.com" | jq '.'

The response is the same shape you get from the authenticated endpoint. Here is a representative result for an Elementor-built WordPress site:

{
  "url": "https://example-agency.com",
  "domain": "example-agency.com",
  "technologies": [
    {
      "name": "Elementor",
      "categories": ["Page builders", "WordPress plugins"],
      "confidence": 100,
      "description": "Elementor is a website builder platform for professionals on WordPress.",
      "website": "https://elementor.com",
      "icon": "Elementor.svg",
      "source": "http",
      "version": "",
      "cpe": ""
    },
    {
      "name": "WordPress",
      "categories": ["CMS", "Blogs"],
      "confidence": 100,
      "description": "WordPress is a free and open-source content management system written in PHP and paired with a MySQL or MariaDB database.",
      "website": "https://wordpress.org",
      "icon": "WordPress.svg",
      "source": "http",
      "version": "",
      "cpe": "cpe:2.3:a:wordpress:wordpress:*:*:*:*:*:*:*:*"
    },
    {
      "name": "PHP",
      "categories": ["Programming languages"],
      "confidence": 100,
      "description": "PHP is a general-purpose scripting language used for web development.",
      "website": "https://php.net",
      "icon": "PHP.svg",
      "source": "http",
      "version": "",
      "cpe": "cpe:2.3:a:php:php:*:*:*:*:*:*:*:*"
    },
    {
      "name": "Cloudflare",
      "categories": ["CDN"],
      "confidence": 100,
      "description": "",
      "website": "https://www.cloudflare.com",
      "icon": "CloudFlare.svg",
      "source": "http",
      "version": "",
      "cpe": ""
    }
  ],
  "categories": {
    "Page builders": ["Elementor"],
    "WordPress plugins": ["Elementor"],
    "CMS": ["WordPress"],
    "Blogs": ["WordPress"],
    "Programming languages": ["PHP"],
    "CDN": ["Cloudflare"]
  },
  "meta": {
    "status_code": 200,
    "tech_count": 12,
    "scan_depth": "full"
  },
  "cached": false,
  "response_ms": 1640
}

The fields that matter for prospecting are technologies[].name (filter for Elementor), technologies[].categories (filter by the Page builders category if you want any builder, not just Elementor), and the full categories map for stack-neighbor filtering. meta.tech_count tells you how many technologies were detected in total—a very low count on a hardened or heavily cached site is a hint that detection was partial.

For authenticated production use, switch to the RapidAPI host and add the headers:

curl -s "https://detectzestack.p.rapidapi.com/analyze?url=example-agency.com" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: detectzestack.p.rapidapi.com" \
  | jq '.technologies[] | select(.name == "Elementor")'

If the jq filter returns an object, the domain runs Elementor. If it returns nothing, it does not. That is the entire detection logic.

Batch-Scanning a List of Domains

The /analyze/batch endpoint accepts up to 10 domains per call, so enriching 1,000 domains is 100 batch calls. Here is a complete Python script that reads a domains.txt file, calls the batch endpoint, and writes an elementor_prospects.csv containing only the Elementor hits, each tagged with its hosting, CDN, and analytics neighbors:

import csv
import json
import time
import requests

API_KEY = "YOUR_RAPIDAPI_KEY"
HEADERS = {
    "X-RapidAPI-Key": API_KEY,
    "X-RapidAPI-Host": "detectzestack.p.rapidapi.com",
    "Content-Type": "application/json",
}
BATCH_URL = "https://detectzestack.p.rapidapi.com/analyze/batch"
BATCH_SIZE = 10  # /analyze/batch hard-caps at 10 URLs per request

MANAGED_WP_HOSTS = {"WP Engine", "Kinsta", "Pressable", "Flywheel"}

def chunks(seq, n):
    for i in range(0, len(seq), n):
        yield seq[i:i + n]

def scan_batch(urls):
    body = json.dumps({"urls": urls})
    r = requests.post(BATCH_URL, headers=HEADERS, data=body, timeout=60)
    r.raise_for_status()
    return r.json()

def extract_prospect(item):
    # /analyze/batch returns {"results": [{"url": ..., "result": {...AnalyzeResponse...}, "error": ...}, ...]}
    # The detector payload (technologies, categories, meta) lives under item["result"],
    # NOT directly on item — reading the wrong level returns nothing silently.
    analysis = item.get("result") or {}
    techs = analysis.get("technologies", [])
    names = [t["name"] for t in techs]
    if "Elementor" not in names:
        return None

    managed_host = next(
        (n for n in names if n in MANAGED_WP_HOSTS),
        "self-hosted or unknown",
    )
    cdn = ", ".join(analysis.get("categories", {}).get("CDN", []))
    analytics = ", ".join(analysis.get("categories", {}).get("Analytics", []))

    return {
        "domain": analysis.get("domain", ""),
        "url": item.get("url", ""),
        "managed_host": managed_host,
        "cdn": cdn or "none detected",
        "analytics": analytics or "none detected",
        "tech_count": analysis.get("meta", {}).get("tech_count", 0),
        "all_technologies": ", ".join(names),
    }

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

    prospects = []
    for i, batch in enumerate(chunks(domains, BATCH_SIZE), start=1):
        print(f"Batch {i}: scanning {len(batch)} domains...")
        try:
            results = scan_batch(batch)
        except requests.HTTPError as e:
            print(f"  batch failed: {e}")
            continue

        for item in results.get("results", []):
            row = extract_prospect(item)
            if row:
                prospects.append(row)

        time.sleep(1)  # be polite, stay well under rate limits

    with open("elementor_prospects.csv", "w", newline="") as f:
        writer = csv.DictWriter(f, fieldnames=[
            "domain", "url", "managed_host", "cdn",
            "analytics", "tech_count", "all_technologies",
        ])
        writer.writeheader()
        writer.writerows(prospects)

    print(f"\nDone. {len(prospects)} Elementor prospects out of {len(domains)} domains.")

if __name__ == "__main__":
    main()

Run it with a one-domain-per-line text file:

$ cat domains.txt
example-agency.com
some-studio.com
local-bakery.com
example-saas.com
...

$ python find_elementor.py
Batch 1: scanning 10 domains...
Batch 2: scanning 10 domains...
...
Done. (Run against your own list; the CSV contains only confirmed Elementor hits.)

That gives you a clean CSV ready to import into HubSpot, Pipedrive, Salesforce, Close, or any CRM. Every row is a confirmed Elementor site tagged with managed host, CDN, and analytics platform. For a deeper dive on the batch endpoint—retry logic, partial-result handling, and parallelism—see How to Batch Scan 1,000 Websites for Tech Stack Data at Scale.

Turning Elementor Detections Into a Lead List

A "uses Elementor: yes/no" column is the starting point, not the finish. The stack neighbors returned in the same API response are what make the list actually qualified. A few practical filters:

Filter by hosting tier

If your product targets businesses spending real money on infrastructure, filter for managed WordPress hosts. DetectZeStack returns WP Engine, Kinsta, Pressable, and Flywheel as separate technologies when their fingerprints are present. A row tagged Elementor + WP Engine is a higher-ticket prospect than Elementor + unknown host.

Filter by what's missing

For some pitches the absence of a technology is the strongest signal. "Elementor sites with no CDN detected" is a clean performance-services list—builder-heavy pages benefit most from edge caching. "Elementor sites with no caching plugin" is a hosting-upgrade list. The categories map makes these negative filters trivial.

Layer in SEO and ecommerce signals

Elementor sites that also run Yoast SEO are already investing in search and tend to be more receptive to marketing and conversion tooling. Elementor sites running WooCommerce are commerce operators—a different, higher-intent segment for anything that touches checkout or product pages. Both come back in the same scan as separate technologies, so you can split your list by them without a second request.

Monitor for new adopters

For ongoing pipeline, drop the domains where Elementor was not detected into a watch list. When one of them later adds Elementor—a fresh rebuild or migration—the webhook tech change alerts feature tells you about it. A site mid-rebuild on a new page builder is one of the hottest leads you will get. For the full end-to-end version, see How to Build a Lead Enrichment Pipeline with Tech Detection and the mental model in tech stack enrichment for sales teams.

Elementor vs Other WordPress Page Builders

Elementor is the largest WordPress page builder, but it is not the only one, and DetectZeStack fingerprints several of them. If your product is builder-specific, you will want to know which builder a prospect runs—and if it is builder-agnostic, you can target the whole Page builders category at once.

Because every one of these returns under the Page builders category, a single filter on categories["Page builders"] gives you a builder-agnostic list, while filtering on the specific name gives you an Elementor-only list. If your prospecting also reaches into commerce platforms, the same playbook applies to finding companies using Magento on the ecommerce side.

Get Your API Key and Start Detecting

DetectZeStack lists on RapidAPI with a free tier that requires no credit card. The plans relevant to prospecting work:

For comparison, the prospecting tools at the large incumbents start in the hundreds of dollars per month. If you need a polished pre-built UI with millions of pre-scanned domains, those products earn their price. If you can run a Python script, you get the same underlying detection through DetectZeStack at a fraction of the cost. See technographic data pricing for the full vendor comparison.

Conclusion

Finding companies using Elementor is a one-script, one-CSV job once you have the pipeline. The technographic filter (uses Elementor) plus stack-neighbor filters (hosting, CDN, analytics, WooCommerce, Yoast) plus the firmographic filters already in your data is what produces qualified outreach instead of spray-and-pray.

The pipeline is the asset, not any single scan. Build it once, point it at new domain sources each week, and you have a continuously refreshing Elementor lead list keyed to your ICP—at $9/month to start.