GitHub Issue Comment-Limit Headroom and Lockout Forecast
Pricing
$10.00 / 1,000 issue checkeds
Go to Apify Store
GitHub Issue Comment-Limit Headroom and Lockout Forecast
Forecast the date when a GitHub issue reaches the 2,500 comment limit.
GitHub Issue Comment-Limit Headroom and Lockout Forecast
Pricing
$10.00 / 1,000 issue checkeds
Forecast the date when a GitHub issue reaches the 2,500 comment limit.
You can access the GitHub Issue Comment-Limit Headroom and Lockout Forecast 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 "issueUrls": ["https://github.com/octocat/Hello-World/issues/1"],10 "minComments": 1,11 "maxIssues": 100,12 "warningThreshold": 2000,13}14
15# Run the Actor and wait for it to finish16run = client.actor("kingii98/github-issue-comment-limit-headroom-and-lockout-forecast").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 GitHub Issue Comment-Limit Headroom and Lockout Forecast API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: