Pricing
Pay per usage
Crawl an entire blog / knowledge base or filter to just the new content. Supporting relevant AI queries by filtering pages by date
5.0 (2)
Pricing
Pay per usage
9
91
24
Issues response
5.6 days
Last modified
18 days ago
You can access the Blog / Dated Content Crawler 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 "startUrls": [{ "url": "https://www.gymshark.com/blog/article/interval-running" }],10 "dateSelector": "",11 "waitForSelector": "",12 "removeElementsCssSelector": """nav, footer, script, style, noscript, svg, img[src^='data:'],13[role=\"alert\"],14[role=\"banner\"],15[role=\"dialog\"],16[role=\"alertdialog\"],17[role=\"region\"][aria-label*=\"skip\" i],18[aria-modal=\"true\"]""",19 "proxyConfiguration": { "useApifyProxy": True },20}21
22# Run the Actor and wait for it to finish23run = client.actor("diarmuidr/blog-content-crawler").call(run_input=run_input)24
25# Fetch and print Actor results from the run's dataset (if there are any)26print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])27for item in client.dataset(run["defaultDatasetId"]).iterate_items():28 print(item)29
30# 📚 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 Blog / Dated Content Crawler API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: