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8 live sites using Skedify right now

Appointment scheduling · by Pexip · since 2015 · Proprietary

8 sites Dataset updated · 2026-10-03
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All figures here come from one snapshot of the webatla database, taken on this date (UTC). We usually refresh it every day.
8 Sites detected
0.0% Of all websites

Preview Skedify site datasets

Skedify detection is a value inside the Technologies column. Two datasets carry it, switch between them to compare what's included.

webatla-technologies-skedify-2026-10-03.jsonl.zst · 8 rows · 14 columns Daily fresh export
DomainTLD suffixTLDDomain typeHTTP statusIP addressCountry by IPSocial networksTechnologies last data checkedTechnologiesPR valueHarmonic valueDomain creation dateDomain expiration date
tack-demoor.bebebeICANNHTTP 200213.246.197.142BE—2026-09-20Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Hugo, Envoy, Drupal 11, HTTP/2, jQuery0.0000000057617610,698,967——
v2notarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon0.0000000056653510,497,070——
vanhaeren-vandurme.bebebeICANNHTTP 200213.246.197.142BE{"linkedin":["https://linkedin.com/company/van-haeren-van-durme-notarissen"],"instagram":["https://instagram.com/vanhaerenvandurmenotarissen"]}2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon0.0000000052545810,075,796——
vdlvnotarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon0.000000004883110,074,818——
vdwnotarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon0.0000000046653210,489,024——
……………………………………
DomainTLD suffixTLDDomain typeHTTP statusIP addressCountry by IPSocial networksTechnologies last data checkedTechnologiesDNS last data checkedDNS StatusDNS recordsPR valueHarmonic valueRDAP/WHOIS last data checkedRDAP/WHOIS methodDomain creation dateDomain expiration dateDomain last changedRegistrarRDAP/WHOIS RecordResponse Status RDAP/WHOIS
tack-demoor.bebebeICANNHTTP 200213.246.197.142BE—2026-09-20Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Hugo, Envoy, Drupal 11, HTTP/2, jQuery2026-09-22TRUE{"A":["213.246.197.142"],"MX":[{"host":"relay.roots.be","priority":5},{"host":"relay2.roots.be","priority":10}],"NS":["anita.ns.cloudflare.com","pranab.ns.cloudflare.com"],"SOA":{"mname":"anita.ns.cloudflare.com","retry":2400,"rname":"dns.cloudflare.com","expire":604800,"serial":2412101649,"minimum":1800,"refresh":10000}}0.0000000057617610,698,967————————
v2notarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon2026-10-02TRUE{"A":["213.246.197.142"],"MX":[{"host":"d323679.a.ess.de.barracudanetworks.com","priority":10},{"host":"d323679.b.ess.de.barracudanetworks.com","priority":20}],"NS":["ns1.clf.proximus.be","ns2.clf.proximus.be","ns3.clf.proximus.be"],"SOA":{"mname":"ns1.clf.proximus.be","retry":2400,"rname":"dns.cloudflare.com","expire":604800,"serial":2415146063,"minimum":1800,"refresh":10000},"TXT":["MS=ms41967607","X8V9FQ7e4rsxihZxEYAjHSmCO7gWfVsw","v=spf1 mx a ip4:81.246.59.37 ip4:81.246.59.38 ip4:81.246.59.39 ip4:81.246.59.40 ip4:81.246.59.41 ip4:81.246.59.42 include:spf.protection.outlook.com -all"]}0.0000000056653510,497,070————————
vanhaeren-vandurme.bebebeICANNHTTP 200213.246.197.142BE{"linkedin":["https://linkedin.com/company/van-haeren-van-durme-notarissen"],"instagram":["https://instagram.com/vanhaerenvandurmenotarissen"]}2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon2026-09-24TRUE{"A":["213.246.197.142"],"MX":[{"host":"vanhaerenvandurme-be02c.mail.protection.outlook.com","priority":0}],"NS":["ns1.clf.proximus.be","ns2.clf.proximus.be","ns3.clf.proximus.be"],"SOA":{"mname":"ns1.clf.proximus.be","retry":2400,"rname":"dns.cloudflare.com","expire":604800,"serial":2415674580,"minimum":1800,"refresh":10000},"TXT":["MS=ms81963019","v=spf1 include:spf.protection.outlook.com -all"]}0.0000000052545810,075,796————————
vdlvnotarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon2026-09-30TRUE{"A":["213.246.197.142"],"DS":[{"digest":"10c79bc88c2360afe21e57b8cbdf024bbc60286cea4bd83cae5a066fc7a3a40e","key_tag":51297,"algorithm":13,"digest_type":2}],"NS":["ns1.combell.eu","ns3.combell.net","ns4.combell.net"],"SOA":{"mname":"ns3.combell.net","retry":3600,"rname":"hostmaster.vdlvnotarissen.be","expire":604800,"serial":1711093698,"minimum":40000,"refresh":10800},"DNSKEY":[{"flags":257,"protocol":3,"algorithm":13,"public_key":"gC/uO0zklXHqkRyngwaCBy5OKa4WJ5BDXHkKZ4kFdXJcIosiP8DW45jUp4qMrOpmmcCZB9E1fqoLTqE1uFxmpw=="}]}0.000000004883110,074,818————————
vdwnotarissen.bebebeICANNHTTP 200213.246.197.142BE—2026-09-21Google Analytics G-46BNWF38Y1 G-5EY0CZ5PDD G-5W28VEF9L3 G-63PC8DW253 G-C8KE6TYHQ1 G-FXWYDKS50R G-LJY6V9NE12 G-XFQTGFDE4B +7, Google Tag Manager GTM-W85B86WB, PHP, PWA, HSTS, Envoy, Drupal 11, HTTP/2, jQuery, Favicon2026-09-22TRUE{"A":["213.246.197.142"],"MX":[{"host":"vdwnotarissen-be.mail.protection.outlook.com","priority":0}],"NS":["ns53.be","ns53.io"],"SOA":{"mname":"ns53.be","retry":7200,"rname":"hostmaster.vdwnotarissen.be","expire":1209600,"serial":2025052401,"minimum":3600,"refresh":7200},"TXT":["","MS=ms53625810","v=spf1 include:spf.protection.outlook.com -all"]}0.0000000046653210,489,024————————
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Showing 5 of 8 rows · Technologies · Full website tech stack per site: CMS, payments, analytics, frameworks.

The Skedify dataset

Every site we've detected as running Skedify, with version, hosting, country, TLD and traffic rank.

Skedify lives inside 2 datasets

Skedify detection is part of Technologies (€159/mo) and All data (€599/mo). Buy either to filter the full 8-site list, or grab a free preview first.

Your Skedify downloads

The datasets you own, sliced to Skedify. Every button streams the latest daily export directly.

Format: JSONL (zstd) Dataset updated: 2026-10-03

API, columns & recipes → /account/api

About Skedify

Booking an appointment at a bank branch is not the same problem as sharing a calendar link. Advisers hold different certifications, rooms have capacity limits, the conversation has to be logged in a way an auditor will accept later, and a customer may want a video call instead of a desk. Skedify sells into that narrower version of scheduling, which is why the entry sits under Appointment scheduling rather than under office tooling. The booking it creates is a customer record before it is a calendar entry, and the systems it has to talk to are branch rosters and account databases rather than a personal inbox.

A caveat belongs at the front of this one. The web address recorded against this entry resolves to a separately branded scheduling product, so the Skedify label is shared by more than one thing in the wild, and our figure counts a fingerprint match in page markup rather than a confirmed customer of Pexip. Anyone using the rows for outreach should treat each domain as a lead to verify rather than as a signed contract.

With that said, the structured facts still support a useful reading. The product is Proprietary and dates to 2015, which puts it in the generation of vendor hosted booking tools that arrived once regulated industries decided self service was cheaper than a call centre. Proprietary software does not appear on a site by accident. Somebody signed for it, somebody integrated it with the systems behind the counter, and somebody pointed public pages at the result. A detection is therefore evidence of a purchase and an integration project, not of a developer trying something over a weekend.

As of October 2026 we record Skedify on 8 sites, and the shape of that figure matters more than its size. Booking software sold into banking, insurance and healthcare spreads through procurement rather than through plugin directories, so a modest count can still cover a wide slice of everyone who ever bought the product. Vendors in this category publish no customer lists and no install numbers, which is precisely why an index built from crawled pages is worth having at all.

A per-domain lookup answers whether one institution uses a booking platform. The downloadable list answers the questions that only exist in aggregate: which sites in a given market have moved appointments onto a vendor platform, whether deployments stay inside financial services or have crossed into retail and clinics, and which domains carry competing schedulers at once, which usually means a migration in progress. Competing vendors use rows like these to size a market, integrators use them to find accounts already committed to managed scheduling, and analysts use them to watch a segment that reports nothing voluntarily.

One further limit is worth stating plainly. Booking widgets often live behind a login, a branch finder or a form step, and a page we cannot reach is a deployment we cannot see, so the count should be read as a floor.

Frequently asked questions

How many websites use Skedify?

webatla detects Skedify on 8 websites, refreshed daily, each with its domain, DNS, WHOIS, IP, country and ranking.

Can I download the list of websites using Skedify?

Yes, as structured JSONL. Grab a free sample first.

What's included for each site, and how fresh is it?

Domain, DNS, RDAP/WHOIS, the full technology stack, IP & country, PageRank and Harmonic, re-detected and re-exported daily.

How do I find the websites using Skedify?

Buy the technology dataset, then download the complete list of domains we detect using Skedify, re-exported every day.

What else is in the Skedify technology data?

Each row places Skedify next to the other technology on the same site, plus DNS, WHOIS, IP, country and ranking.

Can I download just the sites using Skedify, or the whole database?

Both. Every site running Skedify comes in the Technologies dataset, one downloadable file. Or buy All data for the entire database: technologies plus identity, ranking, DNS and RDAP/WHOIS for every domain, combined in one file. Daily fresh export.

How do I download the list of websites using Skedify?

Three steps: (1) grab the free 10,000-row sample to inspect the schema, (2) buy the Technologies dataset, (3) download the full list of every domain we detect running Skedify as a JSON Lines file. It is re-exported daily, so you can re-download the freshest list any time inside your access window. Each row carries the domain plus DNS, WHOIS, IP, hosting country and rank.

Get the full list of websites using Skedify

Pick the dataset that covers what you need. Each one includes Skedify and downloads as JSONL, rebuilt daily.

Technologies 14 columns

Full website tech stack per site: CMS, payments, analytics, frameworks.

€159 / mo
Buy and download Download preview dataset
All data 23 columns

Everything we have, in a single package. The full webatla universe.

€599 / mo
Buy and download Download preview dataset

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