Wikipedia Pageview Spikes
Pricing
from $1.00 / 1,000 spike rows
Find Wikipedia articles whose daily views spiked: article, wiki, date, views, normal level (median of prior days), spike ratio and rank, from Wikimedia's official pageview statistics. Any language or wiki, one day or a range. For trend, news and content research.
You can access the Wikipedia Pageview Spikes 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 = {9 "projects": ["en.wikipedia"],10 "lastNDays": 1,11 "baselineDays": 7,12 "minSpikeRatio": 3,13 "minViews": 1000,14 "access": "all-access",15 "excludeSpecialPages": True,16 "exactBaseline": True,17 "maxLookups": 10,18 "maxResults": 10,19}20
21# Run the Actor and wait for it to finish22run = client.actor("automatic/wikipedia-pageview-spikes").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")26for item in client.dataset(run.default_dataset_id).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 Wikipedia Pageview Spikes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: