Use cases

What people build with an open, no-key domain rank. All of these are one GET away — no signup, generous limits, CC-BY data.

Security & fraud

• Allowlist/blocklist triage — a domain in the top 100k that your filter just flagged is

probably a false positive; an "established brand" mail domain with webrank 40M is probably not the brand. Batch-check a log in one call (POST /rank).

• Phishing detection — typosquats have near-zero pagerank; the real domain doesn't.

Compare paypa1-secure.com against paypal.com programmatically.

• Research — popularity-stratified samples for measurement studies, with permanent

citable snapshots so results replicate.

SEO & marketing

• Link prospecting — sort opportunities by pagerank without a paid seat; the

source cross-reference shows why a domain scores.

• Domain valuation — a domain with authority far above its traffic

(gmpg.org pattern) carries earned links; the reverse pattern (traffic, no links) depreciates.

• Competitor tracking — GET /rank/{domain}/history gives the monthly trend, free.

Data & infrastructure

• Crawl prioritization — crawl the web in rank order; the top of the list is where the

users are (that's how we prioritize our own DNS pass).

• CDN/cache warming, test corpora, ML features — the top-1M CSV is a

one-line download, updated daily.

• Enrichment — join webrank + pagerank onto any domain column:

pip install webrank, rank_many(list_of_domains).

Quick start

curl https://api.webrank.top/rank/stripe.com
curl -X POST https://api.webrank.top/rank -d '["a.com","b.org","c.io"]'
curl -O https://api.webrank.top/list/webrank-latest.csv.gz

Related: FAQ · methodology · cite & license