SEO Audit API: On-Page SEO Checker, Meta Tags & Site Audit
Pricing
from $2.00 / 1,000 page auditeds
SEO audit API and MCP tool: on-page SEO checker for up to 1,000 URLs per run. One row per page: HTTP status, title and meta description with length, H1, canonical, nofollow, word count, links, missing image alt, load time, on-page score, failed checks. Pay per page, plus a small fee per run.
You can access the SEO Audit API: On-Page SEO Checker, Meta Tags & Site Audit programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "urls": [9 "https://apify.com",10 "https://example.com",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("plainrows/seo-audit-api").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use SEO Audit API: On-Page SEO Checker, Meta Tags & Site Audit API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: