Backlink Checker: Referring Domains & Spam Score

Backlink Checker returns the full backlink profile of any domain or page: a summary per target (domain rank, backlinks, referring domains, dofollow share, spam score, broken backlinks, first seen) and, if you want them, every backlink (linking page, anchor text, dofollow, domain rank, spam score, first and last seen) or every referring domain, strongest first. Check up to 1,000 domains per run, and get up to 20,000 backlinks per domain: real lists, not a capped sample. The input form is pre-filled, so the easiest way to try it is to click Start. One domain summary costs $0.03.

It's built for SEO specialists and link builders, agencies running backlink audits, domain investors vetting a domain's link profile, and AI agents that need backlink data through an API, without a monthly SEO-suite subscription.

What backlink data do you get?

One summary row per domain or URL (rowType: "summary"):

• 🏆 Domain rank (rank, 0–1000): an authority score computed from the link graph, PageRank-style. Roughly: 300+ is an established site, 600+ a major one.
• 🔗 Backlinks (backlinks) and referring domains (referringDomains, referringMainDomains): how many live links point to the target, and from how many sites.
• ✅ Dofollow share (dofollowReferringDomainsPct): the share of linking domains that pass at least one dofollow link.
• 🚩 Spam score (spamScore, 0–100): how spammy the target's backlinks look on average.
• 🧱 Referring IPs and subnets, broken backlinks, first seen and the target's own spam score (in runs of 1–4 targets; see the FAQ).

Then, if you choose a list mode:

• 📄 Backlinks mode: one row per backlink (rowType: "backlink"): linking page URL and title, anchor text (or image alt text for image links), link type, dofollow, rel attributes, domain rank and page rank of the linking site, spam score, target URL, first and last seen, broken or lost flags.
• 🌐 Referring domains mode: one row per linking domain (rowType: "referring_domain"): domain, domain rank, backlinks to your target, linking pages (and how many are dofollow), spam score, first seen, lost date.

Lists come strongest first (backlinks by the link's own rank, referring domains by domain rank), so maxRowsPerTarget: 100 gives you the 100 best.

Why use this backlink checker?

• 📚 Complete lists, not samples. Ask for 5,000 backlinks and you get 5,000 when the index has them (up to 20,000 per target). In our September 2026 test, every request returned exactly the rows asked for.
• 🧮 Bulk domain checks. Paste up to 1,000 domains and get rank, backlinks, referring domains, dofollow share and spam score for each: ideal for vetting link prospects, guest-post sites or expired domains.
• 🎯 Filters that save money. Dofollow only, minimum domain rank and a spam-score ceiling are applied by the data provider, so you pay only for the rows you want.
• 💸 Fair billing. You pay per domain checked and per row returned. Failed lookups, invalid entries and domains that don't exist are free, and the run stops exactly at your maximum spending limit.
• 🤖 AI-agent ready. Documented output schema, three table views and stable field names. It works from the Apify API, integrations (Make, Zapier, n8n, Google Sheets) and MCP clients.

How do I check the backlinks of a website?

1. Enter one or more domains (example.com, includes subdomains) or page URLs (https://example.com/page), one per line.
2. Choose what to return: Summary only, Backlinks or Referring domains.
3. For the lists, set Max rows per target (default 1,000) and any filters: Dofollow links only, Minimum domain rank, Exclude spam score above.
4. Click Start. Open the Summary per target, Backlinks or Referring domains view on the Output tab, or export everything as JSON, CSV or Excel.

How do I find the referring domains of a competitor?

Pick Referring domains, enter the competitor's domain and set Max rows per target (e.g. 500). Add Dofollow links only and a Minimum domain rank of 300 to keep only the linking sites worth approaching. Each row is one site linking to them, with how many links and pages it has.

How do I check a list of domains for link building?

Keep Summary only and paste the list (up to 1,000 domains). You get one row per domain with domain rank, referring domains, dofollow share and spam score: sort by rank, drop anything with a spam score above ~30, and you have a shortlist. 100 domains cost $3.

How much does it cost to check backlinks?

$0.03 per domain or URL checked, plus $0.004 per backlink or referring-domain row ($4 per 1,000 rows). Failed lookups are free.

Event	Price	Charged when
Domain summary	$0.03 per target	The lookup for a domain or URL answered, including a clean "no backlinks found" for a site that exists: the lookup ran and answered.
Backlink or referring-domain row	$0.004 per row	Each row saved in Backlinks or Referring domains mode.

• 🆓 Free: errors, invalid entries, domains that don't exist (no DNS record and nothing in the index), and targets or rows skipped because the run reached your maximum spending limit or its time limit.
• Examples: 1 domain summary = $0.03. 100 domains, summary only = $3. 1 domain with its top 1,000 backlinks = $4.03. 5 competitors × 200 referring domains = $4.15.
• Free to try: Apify's free plan includes $5 of platform usage every month: about 160 domain summaries, or one domain with about 1,200 backlinks. Platform usage is included in the price.
• Set a maximum cost per run in the run options: the Actor only fetches rows it can charge for and stops exactly there. Targets it didn't reach are listed as skipped and not charged.

Input

Field	What it does
targets	Domains or page URLs, one per line (up to 1,000). https://www.example.com/ counts as the domain example.com (subdomains included); a URL with a path checks that page only. Duplicates are removed.
mode	summary (default), backlinks or referring_domains.
maxRowsPerTarget	List modes: most rows per target, strongest first (1–20,000; default 1,000).
dofollowOnly	Backlinks: dofollow links only. Referring domains: only domains with at least one dofollow link.
minDomainRank	Skip linking sites ranked below this (0–1000).
excludeSpamAbove	Skip rows with a spam score above this (0–100). Empty = keep everything.
failOnErrors	Mark the run failed if any lookup errors (for schedules and monitoring). Failed lookups are still free.

Example:

{
  "targets": ["hubspot.com", "heathceramics.com"],
  "mode": "backlinks",
  "maxRowsPerTarget": 200,
  "dofollowOnly": true,
  "minDomainRank": 300,
  "excludeSpamAbove": 30
}

Output example

Data source: the DataForSEO Backlinks API (DataForSEO's own web crawler and live link index), stated on every row as dataSource.

The Backlinks view on the Output tab (real run: heathceramics.com, dofollow only, domain rank ≥ 100, spam score ≤ 30):

A summary row (real output, September 2026, trimmed):

{
  "rowType": "summary",
  "target": "hubspot.com",
  "status": "ok",
  "rank": 680,
  "backlinks": 29299534,
  "referringDomains": 390354,
  "referringMainDomains": 338138,
  "dofollowReferringDomainsPct": 89.4,
  "spamScore": 5,
  "referringIps": 131878,
  "referringSubnets": 57582,
  "brokenBacklinks": 266233,
  "firstSeen": "2019-01-15T22:57:10Z",
  "metricsSource": "summary",
  "charged": true,
  "dataSource": "DataForSEO Backlinks API: DataForSEO's own web crawler and live link index. Rank (0-1000) and spam score (0-100) are DataForSEO's metrics."
}

A backlink row (real output, filtered to dofollow, domain rank ≥ 100, spam score ≤ 30):

{
  "rowType": "backlink",
  "target": "heathceramics.com",
  "sourceUrl": "https://www.pinterest.com/heathceramics/",
  "sourceDomain": "www.pinterest.com",
  "anchor": "heathceramics.com; Opens a new tab",
  "altText": null,
  "linkType": "anchor",
  "dofollow": true,
  "rel": [
    "noopener",
    "noreferrer"
  ],
  "domainRank": 877,
  "pageRank": 416,
  "spamScore": 0,
  "targetUrl": "http://www.heathceramics.com/",
  "firstSeen": "2025-09-26T13:56:58Z",
  "lastSeen": "2026-09-18T15:22:48Z",
  "isBroken": false
}

Summary status is one of:

• ok: backlinks found.
• no_backlinks: the site exists but the index has no links to it. Charged: the lookup ran and answered.
• error: the lookup failed, the entry isn't a valid domain or URL, or the domain doesn't exist (DOMAIN_NOT_FOUND). Not charged.
• skipped: not checked because the run hit its spending, time or data-cost limit. Not charged.

In the list modes, each summary row also says how many rows you got (rowsReturned), how many match your filters in the index (matchingRows) and, if you got fewer, why (rowsLimitedBy). For each target, its list rows come first and the summary row last.

How to read the numbers

• Domain rank is 0–1000, not 0–100: it's computed from the whole link graph, and a few hundred points separate a small shop (200–350) from a major publisher (650+).
• Referring domains beat backlinks. One site can link thousands of times (sidebars, footers); referringDomains counts sites, referringMainDomains counts root domains.
• Image links have no anchor text. Their anchor is empty and altText holds the image's alt text; redirects and canonicals (linkType) have neither.
• Counts differ between tools. Every backlink index crawls differently; compare trends and rankings within one source rather than exact counts across sources.

How do I monitor backlinks every month?

1. Fill in the input (your domains, Referring domains mode, a row limit) and click Save as a new task.
2. Open Schedules → Create new, pick the task and choose monthly.
3. Compare months on firstSeen (new linking domains) and lostDate (lost ones), or send the dataset to a spreadsheet (next section).

How do I send backlink data to Google Sheets, Make, Zapier, n8n or an AI agent?

• Google Sheets and Drive: on the Actor's or task's Integrations tab, add the Google Drive integration, or use Make, Zapier or n8n with a Google Sheets "add rows" step.
• Make, Zapier and n8n: each has an official Apify app or node. Trigger on "Actor run finished", then get the dataset items; ask for the summary, backlinks or referringDomains view to get those table columns.
• Webhooks: Integrations → HTTP webhook on "Run succeeded" sends the run details to your URL.
• AI agents (MCP): add https://mcp.apify.com?actors=meridianlabs/backlink-checker to your MCP client (Claude, Cursor, VS Code and others).
• Code: see the Python example in the FAQ.

Limitations

• Summaries for 5+ targets are bulk metrics: rank, backlinks, referring domains (root and nofollow counts), dofollow share and spam score. Referring IPs/subnets, broken backlinks, crawled pages and first seen come from the detailed summary, used for runs of 1–4 targets. In list modes every target still gets its full list.
• Up to 20,000 rows per target per run (the index pages by offset up to 20,000).
• Filters apply to the list rows; the summary row always describes the whole profile.

FAQ

Where does the backlink data come from?

From the DataForSEO Backlinks API, which runs its own web crawler and keeps a live index of about 1.8 trillion backlinks across 185 billion pages (September 2026). Domain rank and spam score are DataForSEO's metrics. This Actor queries the index live on every run; it isn't a scraper of any SEO tool's website, so it doesn't break when a website changes.

Why does a run of 1–4 domains show more summary fields than a bigger run?

Runs of 1–4 targets use one detailed summary lookup per target. From 5 targets the Actor switches to bulk lookups that return the core metrics for up to 1,000 domains at once, which is what keeps big domain lists fast. The price is the same either way.

Can I use it with the API, AI agents or MCP?

Yes. Run it through the Apify API or client libraries, schedule it, connect it to Make, Zapier, n8n or Google Sheets, or call it from MCP clients.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("meridianlabs/backlink-checker").call(run_input={
    "targets": ["hubspot.com"], "mode": "referring_domains", "maxRowsPerTarget": 100, "dofollowOnly": True,
})
for row in client.dataset(run.default_dataset_id).iterate_items():
    if row["rowType"] == "referring_domain":
        print(row["referringDomain"], row["domainRank"], row["backlinks"])

Does it collect personal data?

No personal data is collected on purpose. Rows contain public web-page URLs, titles and link text from pages that link to your target, as published by those sites. The Actor doesn't store anything in your account beyond the run's own dataset.

What happens if a run times out or restarts?

If a run approaches its timeout, the Actor stops starting new lookups: targets it didn't reach are listed as skipped (not charged), and a target cut short keeps the rows already delivered, with rowsLimitedBy: "RUN_TIME_LIMIT". If the platform restarts a run, it picks up where it left off without charging twice.

More from Meridian Labs

• Keyword Search Volume & CPC API + Google Trends: monthly search volume, CPC, competition, difficulty and intent for keyword lists, plus a Google Trends summary per keyword. From $3 per 1,000 keywords.
• Google Trends Scraper & API: interest over time, by region and rising related searches for hundreds of keywords, as a maintained pytrends alternative. $5 per 1,000 keyword lookups.
• Greenhouse, Lever & Ashby Jobs Scraper: open jobs from companies on six hiring systems, with salary normalised to min, max, currency and period. $2 per 1,000 jobs.

Support

Something looks wrong, or you need a field we don't return? Open an issue on the Issues tab with the input you used. We read every one.

If this saved you time, a rating helps others find it; if something's off, open an issue and we'll fix it fast.