Linkheft — Bulk Domain Authority Checker & Website Rank API
Pricing
$2.00 / 1,000 domain rankeds
Linkheft — Bulk Domain Authority Checker & Website Rank API
Know how big any website is, in bulk. Domain authority checker and Moz DA alternative from open data: 0–100 authority score, rank among 133M domains, tier, 4-month trend and referring subnets, for SEO audits and link prospects. No API key. $0.002 per ranked domain.
Pricing
$2.00 / 1,000 domain rankeds
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CyberMax
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Linkheft: bulk domain authority checker & website rank API (open data, no API key)
Know how big any website is, in bulk
Give it domains, URLs or emails; get a 0–100 authority score, rank among 133M domains, tier, 4-month trend and referring subnets for each, for $0.002 per ranked domain.
▶ Try it now with a prefilled input · $0.002 per ranked domain, unranked domains free (1,000 domains = $2) · Apify's free plan includes $5 of credit a month, enough for up to about 2,500 ranked domains
Built for: Link builders vetting prospects · SEO agencies auditing lists · Sales teams sizing up leads · AI agents asking "is this a real, established site?"
Real output (real run on Apify, 23 Sep 2026):
| Domain | Authority | Tier | Trend (4 mo) | Referring subnets |
|---|---|---|---|---|
| wordpress.org | 84 | top 100 | stable (−19%) | 198,879 |
| stripe.com | 78 | top 100 | stable (−1.6%) | 51,463 |
| openai.com | 76 | top 100 | stable (+14.3%) | 53,508 |
| hubspot.com | 70 | top 1,000 | stable (−19.5%) | 41,084 |
| acme.co.uk | 15 | top 10,000,000 | stable (+0.4%) | — |
Why Linkheft
- Open data, not scraped SEO tools. Most "domain authority" Actors log into or scrape Moz, Ahrefs or Semrush
and charge ~$0.009–0.015 per domain, and they break when those sites change. Linkheft ranks domains with open,
published data: the Common Crawl host-level web graph (harmonic
centrality and PageRank over 133,241,980 domains, release
cc-main-2026-jul-aug-sep) and the Majestic Million (CC BY 3.0). The whole method is described below. - Fast and cheap enough for big lists. Each lookup streams only the ~800 KB shards of a pre-built index that it needs. In real Apify runs, 12 domains took 1.3 s and 3,000 domains took 11 s. That's under a quarter of the scraper Actors' price per domain, and domains that aren't ranked cost nothing.
- Trend, not just a number. Every ranked domain is compared with the web graph from ~4 months earlier
(
cc-main-2026-mar-apr-may), so you can see which sites are climbing and which are fading. - Agent-ready records. They're flat and stable, and you can pass in URLs, emails or subdomains
(
https://www.stripe.com/pricing,jane@acme.co.uk,blog.hubspot.com).
What you get (one record per unique domain)
| Field | Meaning |
|---|---|
domain | The domain that was ranked (subdomains fall back to their main domain unless ranked on their own) |
status | ok (ranked, charged), unranked (not in the top 10M or the Majestic Million, free) or invalid (free) |
authorityScore | 0–100, log scale of the web-graph rank: rank 1 = 100, the last of 133M domains = 0. Top 100 ≈ 75+, top 10,000 ≈ 50, top 1M ≈ 26 |
tier | top 100, top 1,000, top 10,000, top 100,000, top 1,000,000, top 10,000,000 |
webGraphRank / topPercent | Harmonic-centrality rank in the Common Crawl web graph, and that rank as a % of all domains |
trend / rankChangePct | rising / falling when the rank moved 20%+ (change = (old − new) / max(old, new), so −100…+100%), else stable; new-in-top-10m if it wasn't in the top 10M ~4 months earlier |
referringSubnets | Distinct IP subnets linking to the domain (Majestic), for top-1M domains |
commonCrawl | harmonicRank, pageRankRank, hosts (subdomains seen), prevHarmonicRank, release names, total domains |
majestic | globalRank, refSubnets, refIps, list date |
A SUMMARY record in the run's key-value store has counts and a top-25 leaderboard.
Input
{ "domains": ["stripe.com", "https://www.notion.so/product", "jane@acme.co.uk"], "sortBy": "score", "minAuthorityScore": 30 }
domains: up to 100,000 domains, URLs or email addresses; duplicates are merged and charged once.sortBy:input(default) orscore(highest first).minAuthorityScore: drop ranked domains below this score. Dropped domains aren't charged.monitor/monitorKey: only return what changed since the last run (see below).
First try: the prefilled input (stripe.com, notion.so, hubspot.com, anthropic.com) runs in about 10 s
including start-up and costs about $0.008.
Ready-made inputs (first try in one click)
No account yet? See real results first on the free demo page: a free checker page plus 117 SaaS/AI sites ranked.
Paste one into the JSON tab of the input form (or send it to the API) and press Start. Each is sized so the first run is quick and cheap; you pay only for results (Apify's compute is included in the price).
| Preset | What you get | Cost |
|---|---|---|
| Authority of 4 sites | 0–100 score, global rank, tier, 4-month trend, referring subnets | $0.008 |
| Rank competitors (sorted) | the same, strongest first | $0.008 |
| Mixed input: emails, URLs, domains | each cleaned to its domain and ranked | $0.006 |
Authority of 4 sites
{"domains": ["stripe.com", "notion.so", "hubspot.com", "anthropic.com"]}
Rank competitors (sorted)
{"domains": ["asana.com", "trello.com", "monday.com", "clickup.com"], "sortBy": "score"}
Mixed input: emails, URLs, domains
{"domains": ["jane@shopify.com", "https://www.wikipedia.org/", "github.com"]}
Same thing from a script (returns the results directly):
curl -s -X POST "https://api.apify.com/v2/acts/cybermax~domain-authority/run-sync-get-dataset-items?token=$APIFY_TOKEN" \-H 'content-type: application/json' -d '{"domains": ["stripe.com", "notion.so", "hubspot.com", "anthropic.com"]}'
Output (real record)
{"input": "stripe.com", "domain": "stripe.com", "status": "ok","authorityScore": 78, "scoreBasis": "common-crawl-harmonic-rank", "tier": "top 100","webGraphRank": 64, "topPercent": 0.000048, "trend": "stable", "rankChangePct": -1.6,"commonCrawl": { "harmonicRank": 64, "pageRankRank": 66, "hosts": 95, "prevHarmonicRank": 63,"release": "cc-main-2026-jul-aug-sep", "prevRelease": "cc-main-2026-mar-apr-may", "totalDomains": 133241980 },"majestic": { "globalRank": 140, "refSubnets": 51463, "refIps": 137486, "date": "2026-09-23" },"referringSubnets": 51463}
Monitor mode: only what changed
Set "monitor": true to watch a list (your backlink prospects, competitors, customer domains). Each run compares
every domain with the previous run of the same watchlist and returns only domains that are new or changed:
a different authorityScore, tier, webGraphRank, Majestic rank, or status (e.g. a small site entering the
ranked list). Unchanged domains are skipped and not charged. Check time, notes and release names are ignored.
Use monitorKey to keep several watchlists apart; state is kept in your account's named key-value store
domain-authority-monitor. The first run returns everything as new; counts are in the SUMMARY record under
monitor.
{ "domains": ["stripe.com", "notion.so", "hubspot.com"], "monitor": true, "monitorKey": "competitors" }
A changed row is the normal record plus (shape only; values illustrative):
{ "domain": "notion.so", "change": "changed", "changedFields": ["authorityScore", "webGraphRank"],"changes": { "authorityScore": { "from": 64, "to": 65 }, "webGraphRank": { "from": 1500, "to": 1400 } } }
Why it pays for itself
- By hand: about 30 seconds per domain in a free one-at-a-time checker (estimate), so 1,000 domains ≈ 8 hours; here 1,000 ranked domains cost $2, and a real run of 3,000 domains took 11 s.
- Most-used Store rival memo23/moz-scraper (278 users) charges $0.009 per result on Apify's free plan plus $0.001 per run start (Apify Store pricing, checked 25 Sep 2026), so 1,000 domains cost about $9 there and $2 here. It returns Moz's own metrics; Linkheft returns an open score.
- Unranked, invalid and duplicate inputs are free, and minAuthorityScore drops small sites without charging for them.
- Monitor mode returns and charges only domains whose score, rank, tier or status moved, so a weekly check on a prospect list is cheap.
▶ Run it on your own list: the example input is already filled in, so the first run takes one click.
Pricing
- $0.002 per ranked domain (event
domain-ranked), i.e. $2 per 1,000. - Unranked, invalid and duplicate inputs are free. Set a maximum charge per run in Apify, and Linkheft stops cleanly when it's reached.
FAQ
Why not a Moz DA scraper? If you need Moz Domain Authority itself, use one; Linkheft's score is a different, open number. It answers the same question (how big and well linked is this site?) from the Common Crawl web graph and the Majestic Million, costs less per domain, doesn't break when an SEO site changes, and you can recompute every score.
Why not Moz, Ahrefs or Semrush directly? They are paid subscriptions with proprietary metrics and need an account. Linkheft needs no API key and is paid per ranked domain.
Why not a free online DA checker? Most check one domain at a time. Linkheft takes up to 100,000 domains, URLs or emails in one run and returns a spreadsheet-ready table.
Can I call it from Python, JavaScript or plain HTTP? Yes. POST your input JSON to https://api.apify.com/v2/acts/cybermax~domain-authority/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN and the results come back in the response, or use the apify-client package for Python or JavaScript. Recipes for Make, Zapier, n8n and Google Sheets are in Integrations.
Is it legal to use? Linkheft uses public, aggregated domain-ranking data (Common Crawl and the Majestic Million). No login and no personal data. This is general information, not legal advice.
Is this Moz Domain Authority? No. Moz DA, Ahrefs DR and Semrush AS are proprietary. Linkheft is an open 0–100 score from the Common Crawl web graph and the Majestic Million, with the method published below, so you can explain every number. It answers the same question: how big and well linked is this site?
How many domains can I check at once? Up to 100,000 per run. A real run of 3,000 domains took 11 seconds.
What does it cost compared with Moz/Ahrefs/Semrush scrapers? $0.002 per ranked domain. The most-used scraper Actors for those tools charge $0.009–$0.015 per result (Apify Store, 24 Sep 2026), and unranked domains are free here.
Do I need a Moz, Ahrefs or Semrush account or API key? No. Everything comes from open data.
Can I filter a prospect list by authority? Yes: minAuthorityScore drops domains below a score, and dropped domains are not charged.
Can an AI agent use it? Yes, through Apify's MCP server (https://mcp.apify.com/?tools=cybermax/domain-authority), and it's in the official MCP Registry. Records are flat and stable.
Run it on a schedule
The underlying open data changes about monthly (Majestic Million) and quarterly (a new Common Crawl
web graph), so a weekly or monthly schedule is enough; daily runs would mostly return nothing. Console →
Schedules → Create new → cron 0 8 * * 1 (Mondays 8:00) or 0 8 1 * * (1st of the month) → Add Actor
→ pick Linkheft (or a saved task) with your list and "monitor": true. Or via the API:
POST https://api.apify.com/v2/schedules?token=YOUR_TOKEN{"name":"linkheft-weekly","cronExpression":"0 8 * * 1","timezone":"America/New_York","isEnabled":true,"actions":[{"type":"RUN_ACTOR","actorId":"cybermax/domain-authority","runInput":{"body":"{\"domains\":[\"stripe.com\",\"notion.so\"],\"monitor\":true,\"monitorKey\":\"weekly\"}","contentType":"application/json"}}]}
With monitor mode scheduled runs are cheap: you only pay for domains whose score or rank moved. To get alerted, open the Actor's Integrations tab and add an email, Slack or webhook notification on "Run succeeded".
Integrations
Make: Apify app → "Run an Actor" (Actor cybermax/domain-authority, input {"domains":["stripe.com","notion.so"]}, run synchronously) → "Get dataset items".
Zapier: Apify app → "Run Actor" action with the input JSON, or the "Finished Actor Run" trigger to push scores into a sheet or CRM.
n8n: Apify node ("Run Actor and get dataset"), or an HTTP Request node:
POST https://api.apify.com/v2/acts/cybermax~domain-authority/run-sync-get-dataset-items?token=YOUR_TOKEN{"domains": ["stripe.com", "notion.so"], "sortBy": "score"}
Google Sheets: Apify's Google Sheets integration, or pull the latest run into a cell:
=IMPORTDATA("https://api.apify.com/v2/acts/cybermax~domain-authority/runs/last/dataset/items?format=csv&token=YOUR_TOKEN")
Python:
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("cybermax/domain-authority").call(run_input={"domains": ["stripe.com", "notion.so"], "sortBy": "score"})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["domain"], item.get("authorityScore"), item.get("tier"))
JavaScript:
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_TOKEN' });const run = await client.actor('cybermax/domain-authority').call({ domains: ['stripe.com', 'notion.so'], sortBy: 'score' });const { items } = await client.dataset(run.defaultDatasetId).listItems();
AI agents (MCP): Linkheft is a tool on Apify's hosted MCP server,
https://mcp.apify.com/?tools=cybermax/domain-authority (header Authorization: Bearer <your Apify token>).
Claude Desktop / Cursor config:
{ "mcpServers": { "linkheft": { "url": "https://mcp.apify.com/?tools=cybermax/domain-authority","headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } }
Example prompts: "Which of these 200 link prospects are in the top 100,000 sites?", "Is acme-widgets.com an established site or a tiny one?", "Rank these competitors by authority."
How the score works
- The Common Crawl web graph ranks every domain it crawled by harmonic centrality: how close a domain is, in links, to all others. Big, well-linked sites rank near 1.
authorityScore = round(100 × (1 − log10(rank) / log10(totalDomains))). That's all there is to it, so you can recompute it.- Domains that are in the Majestic Million but outside the web graph's top 10M get a score for rank
10,000,001 (an upper bound) and
scoreBasis: "majestic-only …".
When NOT to use Linkheft
- You need Moz DA, Ahrefs DR or Semrush AS specifically. These are proprietary metrics; Linkheft's score correlates with "how big and well-linked is this site", but it's a different, open number.
- You need individual backlinks or anchor texts. Linkheft ranks domains; it doesn't list links.
- Tiny or brand-new sites. Domains outside the top 10 million of the web graph and the Majestic Million
come back
unranked(free). That's an answer in itself (the site is very small), but not a score. - Page-level authority. Scores are per domain, not per URL.
Free datasets from the same pipeline
Open data on Hugging Face, built by the same code as this Actor. Download it free; run the Actor when you need your own list, fresh data or alerts.
- Linkheft Open Domain Ranks (10.3M domains): the rank table behind this Actor, free to download.
Start now
▶ Try Linkheft with a prefilled input · $0.002 per ranked domain, unranked domains free (1,000 domains = $2). Questions or a missing field? Open an issue on the Store page and it gets answered the same day.
Also from CyberMax
- DomainDNA — tech stack, email security & domain age: what each domain runs on and how old it is.
- Hollerdex — website emails, phones & socials: contacts for the domains worth reaching out to.
- Keyfern — keyword ideas from 5 autocomplete engines: what their audience searches for.
- Swellmeter — Google Trends verdicts: whether those topics are rising.
- Capturewren — website screenshot + page text: see each prospect's homepage.
All tools: Insidewell · HireHeat · Gripeline · HireHeat Jobs · Printwren · Logolark
Data, license and attribution
- Common Crawl Web Graph, domain-level ranks (commoncrawl.org), used under the Common Crawl Terms of Use.
- Majestic Million by Majestic-12 Ltd, licensed CC BY 3.0.
- The pre-built index is also published free as a Hugging Face dataset: Linkheft Open Domain Ranks. It's refreshed when Common Crawl publishes a new web graph.
Not affiliated with Common Crawl, Majestic, Moz, Ahrefs or Semrush. No personal data is collected.
Changelog
- 2026-09-23: Monitor mode (
monitor,monitorKey: only domains whose score, rank, tier or status changed are returned and charged), schedule & integration recipes.
© 2026 CyberMax. All rights reserved.
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