Pricing
Pay per usage
Scrape Knockaround and extract data on eyewear from knockaround.com. Our Knockaround API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.
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Pricing
Pay per usage
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Last modified
3 years ago
You can access the Knockaround Scraper 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 Integrations settings 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 = {9 "maxRequestsPerCrawl": 20,10 "extendOutputFunction": """async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {11 return item;12}""",13 "extendScraperFunction": """async ({ fns, customData, Apify, label }) => {14 15}""",16 "customData": {},17 "maxConcurrency": 20,18 "maxRequestRetries": 3,19}20
21# Run the Actor and wait for it to finish22run = client.actor("mshopik/knockaround-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])26for item in client.dataset(run["defaultDatasetId"]).iterate_items():27 print(item)28
29# 📚 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 Knockaround Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: