Ahrefs Website Stats Scraper

Export ahrefs website stats for recurring domain SEO benchmarking. Supply domains or public Ahrefs website detail URLs and get one structured snapshot per domain, including Domain Rating, linking websites, organic search traffic/value, public country and keyword samples, and available monthly histories.

This independent Actor reads the free AhrefsTop website surface. It does not access paid Ahrefs tools, detailed backlink edges, Keyword Explorer, accounts or AI visibility records. Ahrefs currently redirects its /websites/domain surface to ahrefstop.com.

Who is it for?

SEO analysts can compare authority and search-traffic estimates across a portfolio. Agencies can refresh public competitor benchmarks. Data engineers can join source-specific historical observations to their own domain records.

Why use it?

A snapshot keeps metrics and their public samples together in one row. Bulk inputs are normalized and deduplicated before collection. History dates are preserved separately from the scrape timestamp so a rerun is not confused with a new source observation. Partial failures are explicit, not successful empty exports.

Ahrefs website stats included

Field	Meaning
domain, sourceUrl	Normalized domain and canonical public source
domainRating	Ahrefs Domain Rating, nullable
organicTraffic, trafficValue	Latest chart estimate of monthly organic traffic and value in USD
snapshotDate	Date of the latest public traffic chart observation
linkingWebsites, linkingWebsitesDisplay	Rounded public summary count and its original compact text
topCountries	Public country sample with traffic, previous traffic and source share
topKeywords	Public keyword sample with volume, traffic and position
trafficHistory	Available monthly organic traffic and USD value points
referringDomainsHistory	Available monthly referring-domain points
title, description, scrapedAt	Page metadata and UTC collection time

Missing optional metrics are null; unavailable samples are empty arrays. Public samples are not complete country or ranked keyword exports. On the tested pages, each sample contained five rows; source coverage can change. Historical referring-domain and traffic dates need not be identical. Compact displayed counts are expanded but remain rounded.

Getting started

1. Enter bare domains such as google.com and ahrefs.com.
2. Optionally add canonical Ahrefs website detail URLs.
3. Set maxItems to the number of distinct domains to attempt.
4. Run the Actor and inspect its status and completeness summary.
5. Export the default dataset as JSON, CSV, Excel or XML using Apify.

{"domains":["google.com","ahrefs.com"],"maxItems":10}

Input parameters

Parameter	Behavior
domains	Bare public DNS domains; no website paths or arbitrary URLs
startUrls	Public https://ahrefs.com/websites/domain or https://ahrefstop.com/websites/domain URLs
maxItems	Global distinct-domain attempt limit, default 10, range 1–100

At least one target is required in either list. Domains precede URL targets. Normalization lowercases domains, removes a trailing dot and converts IDNs to ASCII. Duplicates across both lists are removed before the limit. Combined inputs may contain at most 1,000 entries. Zero/unlimited limits are unsupported.

Category URLs, nested routes, query strings, fragments, credentials, ports, IP addresses and private hostnames are rejected. A URL such as https://google.com is not an Ahrefs detail URL; enter google.com in domains instead. Nested keyword/country/history entries have no separate collection limit: all included public records in the fetched snapshot are retained. Only url is read from request-list objects: method, headers, payload and userData are ignored and never forwarded. Every source lookup is a GET.

Output example

This excerpt is from a current local public google.com snapshot. Arrays below are shortened for readability; the dataset retains the full public samples and histories.

{
  "domain":"google.com",
  "sourceUrl":"https://ahrefstop.com/websites/google.com",
  "domainRating":99,
  "organicTraffic":2388313231,
  "trafficValue":620192131,
  "snapshotDate":"2026-10-01",
  "linkingWebsites":16300000,
  "linkingWebsitesDisplay":"16.3M",
  "trafficHistory":[{"date":"2026-10-01","organicTraffic":2388313231,"trafficValue":620192131}]
}

How much does it cost to export Ahrefs domain snapshots?

Pricing is pay per event: a one-time start fee plus one domain snapshot event per useful saved row. Public keyword, country and history entries are included in that snapshot and have no separate event charge. Invalid, duplicate and failed domains do not generate a snapshot event. A validated run that later fails can still incur the start fee and charges for already saved useful snapshots.

The one-time start fee is $0.00005 per run. Snapshot prices depend on your aggregate monthly Apify Store spend tier, not this Actor's private run volume:

Tier	Per domain snapshot
FREE	$0.0036294
BRONZE	$0.003156
SILVER	$0.0024617
GOLD / PLATINUM / DIAMOND	$0.0018936

BRONZE examples: one snapshot is approximately $0.003206, ten are $0.03161, and 100 are $0.31565, including one start fee. These are estimates for useful snapshots, not guaranteed invoices; use the applicable Store tier and run charge limit. Source traffic-value fields are not Actor prices.

Limits and failures

The source provides estimates, not your analytics or guaranteed current totals. Available history length varies by domain. Domains outside the public index may fail to return a recognized snapshot; this Actor does not fabricate zero metrics for them.

Requests run sequentially. Network errors, 429 and temporary server errors receive at most three attempts with bounded backoff. Permanent errors and unrecognized pages fail without blind challenge retries. There is no automatic residential proxy, browser or captcha fallback and no customer credential requirement.

The OUTPUT key-value record reports attempted, saved and failed counts plus failure reasons. Any failed selected domain makes the run fail; saved rows remain partial. Check status and summary before using an export as a complete benchmark. Timeout/abort can leave partial data without a final summary.

Comparing historical observations

Join traffic histories on date and domain, not array position across different domains. Keep referring-domain observations in their own dated series. The Google, Ahrefs and Wikipedia local controls each supplied 137 traffic/value months and 136 referring-domain months; these counts are observations, not a guarantee for other domains. Source revisions can change previously reported estimates. Save exports with their collection timestamps to distinguish a revised source estimate from a new month.

Integrations

Use Apify schedules to refresh a fixed domain list and compare snapshotDate, not just scrapedAt. Send complete exports to a warehouse, spreadsheet, Make or Zapier workflow. Store raw histories outside a language-model context and compute changes in your own data pipeline. Scheduling does not create new source observations.

API usage

Use your Apify token in an Authorization header; never place it in a shared input or public URL.

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~ahrefs-domain-seo-snapshot/runs' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"domains":["google.com","ahrefs.com"],"maxItems":2}'

JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/ahrefs-domain-seo-snapshot').call({ domains: ['google.com'], maxItems: 1 });
if (run.status !== 'SUCCEEDED') throw new Error(`Incomplete run: ${run.id}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems({ limit: 10 });
console.log(items);

Python:

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/ahrefs-domain-seo-snapshot').call(run_input={'domains':['google.com'], 'maxItems':1})
if run['status'] != 'SUCCEEDED':
    raise RuntimeError(f"Incomplete run: {run['id']}")
print(client.dataset(run['defaultDatasetId']).list_items(limit=10).items)

MCP setup

Claude Code setup — select this stable Actor subset:

$claude mcp add --transport http apify 'https://mcp.apify.com?tools=automation-lab/ahrefs-domain-seo-snapshot'

Claude Desktop, Cursor, and VS Code clients with remote HTTP MCP support can use the equivalent endpoint configuration (adapt the transport wrapper to the client's supported version):

{"mcpServers":{"apify":{"url":"https://mcp.apify.com?tools=automation-lab/ahrefs-domain-seo-snapshot"}}}

Example prompt: “Fetch public Ahrefs domain snapshots for google.com and ahrefs.com, then compare their traffic observation dates and Domain Ratings.”

Discover actual tool names and input schemas with scoped tools/list. Selection also includes run/data tools; discovery alone is not execution permission. Start an authorized run once and retain its run and storage IDs. call-actor waits at most 45 seconds; if nonterminal, follow that same run using bounded 2/4/8-second backoff capped at 10 seconds and a 120-second total deadline. Configure the client timeout above server wait plus transport margin. At the deadline report pending and the run ID; never restart merely to poll or recover a client timeout.

After success, read bounded untransformed dataset pages of 20 rows with explicit offset and needed fields. Example consumer budget: at most 100 source rows and 64 KiB serialized UTF-8 content admitted to model context, whichever comes first. Enforce byte limits host-side; omit/summarize oversized rows with disclosure. If your client cannot intercept oversized responses, do not claim a hard byte guarantee. Report returned rows, source continuation offset and partial/truncated status when incomplete. Full exports belong in storage or downstream processing. These are consumer context limits, not Actor collection limits. No numeric token savings are promised.

Legality and privacy

Use public data responsibly and comply with source terms and applicable law. This tool is independent and not affiliated with Ahrefs. Estimates and proprietary source metrics remain subject to their owners' rights; this Actor grants no source-data license. No account credentials or private datasets are collected.

Failed operations send sanitized diagnostic input, exceptions and actor/build/run IDs to our private GlitchTip service for repair. Secret fields and URL queries are removed; reports are retained for 30 days. No AI provider processes runtime input or output. Actor datasets and summaries use your Apify storage retention settings; delete them through Console or the API when no longer needed. There is no cross-run cache. Contact us through the Actor's Apify Store issue channel for support.

FAQ and troubleshooting

Does this replace a paid Ahrefs account? No. It exports only public website snapshots, not paid Keyword Explorer or backlink records.

Why is the source AhrefsTop? Ahrefs redirects its public website statistics pages to that canonical host. Both accepted URL forms resolve to the same source-specific workflow.

Why do estimates look stale? The scrape time records collection, while snapshotDate records the latest available chart month. Rerunning cannot force an upstream refresh.

Why did my run fail with some data? At least one selected domain did not produce a recognized snapshot. Inspect OUTPUT and treat the dataset as partial. Correct invalid inputs or retry later for a transient source failure.

Can I get every keyword or country? No. Only the source's public samples are included.

Related Actors

For Google-ranked domain keywords from a different source, see Competitor Domain Keywords Scraper. It is complementary, not an equivalent Ahrefs authority/history source. For a different traffic-estimation source, see Similarweb Traffic Intelligence Scraper.