Air Quality API + GitHub

Send the response straight into GitHub — connected through Zapier, Make, or n8n, no code required.

WhenGitHubNew issue
trigger
RunAir Quality APIReturns the response
action
ThenGitHubCreate issue

The Air Quality API in GitHub.

GitHub is where developers build software together. Connecting APIs to GitHub enables automated code workflows, intelligent issue management, and CI/CD enhancements. Supercharge your development processes with external data.

Workflows worth wiring.

Automatically validate URLs in README files for broken links
Check DNS configurations when deploying to new environments
Verify SSL certificates as part of deployment pipelines
Create issues automatically when external monitoring detects problems

Ready-made ideas.

Scheduled daily Fetch air quality → update project README

Add air quality data to project dashboards

For environmental monitoring projects: fetch daily usEpaIndex, pm2_5, and ozone data and update the project README or wiki.

Scheduled hourly Fetch air quality → create issue if anomaly

Create issues for air quality anomalies

Monitor air quality data and create a GitHub issue when usEpaIndex spikes, including all pollutant levels and the recommendation.

Connect it in a few steps.

Set up with Zapier
  1. 1
    Set the trigger. Create a Zap with GitHub as the trigger app and "New issue" as the event. Connect your account.
  2. 2
    Add the API action. Add APIVerve as the action, select the Air Quality API, and map your trigger data to the request.
  3. 3
    Send it back. Add a second GitHub action for "Create issue" and map the returned fields (like pm2_5) into it.
  4. 4
    Test & turn on. Test the Zap with real data to confirm the mapping, then turn it on.
Set up with Make
  1. 1
    Add the trigger. Create a scenario and add a GitHub module set to "New issue". Authenticate your account.
  2. 2
    Call the API. Add an HTTP module pointing at api.apiverve.com/v1/airquality with your x-api-key header. Pass the trigger's data as the input.
  3. 3
    Parse & map. Add a JSON module to read the response, then a GitHub module for "Create issue". Map fields like data.pm2_5 into place.
  4. 4
    Activate. Run once to confirm the mapping, then switch the scenario on and set its schedule.
Set up with n8n
  1. 1
    Add the trigger node. Start a workflow with a GitHub trigger node for "New issue" and connect your credentials.
  2. 2
    Add an HTTP Request node. Point it at api.apiverve.com/v1/airquality using Header Auth (x-api-key). Feed in the trigger data.
  3. 3
    Map with expressions. Add a GitHub node for "Create issue" and reference the response with expressions such as {{ $json.data.pm2_5 }}.
  4. 4
    Execute & activate. Execute manually to verify, then activate the workflow for production.

What GitHub receives.

pm2_516.75
pm1018.85
carbonMonoxide387.85
ozone9
nitrogenDioxide38.55
sulfurdioxide5.95

GitHub + Air Quality API FAQ

How do I use APIs in GitHub Actions workflows?
While this integration focuses on automation platforms, you can also call APIs directly in GitHub Actions using curl or language-specific HTTP clients in workflow steps.
Can I trigger GitHub actions from external API events?
Yes. Use automation platforms to receive external events, then trigger GitHub repository dispatch events or create issues/PRs programmatically.
How do I enrich GitHub issues with external data?
Trigger on new issues, extract relevant identifiers, call external APIs for context, and update issue descriptions or add comments with enriched data.

Connect the Air Quality API to GitHub. One key, no code, live in minutes.

Scaling up?

Volume pricing, custom SLAs, and dedicated support for high-traffic teams.

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