Hreflang Cluster Check
Pricing
from $1.00 / 1,000 page audits
Audit hreflang return links and language mappings from existing crawl data before multilingual launches or migrations. JSON input; up to 1,000 pages per run. Missing pages are marked unverified. $1 per 1,000 page results plus a small start fee. No live crawling.
You can access the Hreflang Cluster Check 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 = { "pages": [9 {10 "url": "https://example.com/en",11 "alternates": [12 {13 "hreflang": "en",14 "href": "https://example.com/en",15 },16 {17 "hreflang": "fr",18 "href": "https://example.com/fr",19 },20 ],21 },22 {23 "url": "https://example.com/fr",24 "alternates": [{25 "hreflang": "fr",26 "href": "https://example.com/fr",27 }],28 },29 ] }30
31# Run the Actor and wait for it to finish32run = client.actor("garnet_precipice/my-actor").call(run_input=run_input)33
34# Fetch and print Actor results from the run's dataset (if there are any)35print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")36for item in client.dataset(run.default_dataset_id).iterate_items():37 print(item)38
39# 📚 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 Hreflang Cluster Check API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: