My ExactOnline API integration script works locally but fails on Zapier/n8n during multiple fetch calls. Revised code:
const authKey = 'ABC123';
const branchId = 'Branch1';
async function runProcess() {
const response = await sendData({ name: 'Demo Corp', area: 'Metro' });
console.log(response);
}
async function sendData(payload) {
// Simulate a POST request
return { id: 'XYZ789' };
}
runProcess();
Help with resolving this issue?
Encountered similar issues with asynchronous behavior when moving from local environments to cloud platforms. Even though the local implementation appeared to work flawlessly, differences in the network layer might change the timing or handling of promised responses. On my experience, wrapping API calls in dedicated functions that enforce reusable error handling helped address quirks specific to Zapier and similar platforms. Further, verifying that every asynchronous process is correctly handled and awaited provided better control over the flow. Consider logging additional details during errors to pinpoint the failure location.
hey, i faced similar probs on zapier. seems like promises might be failing silently. try using try/catch blocks around your fetch calls and add extra logging. sometimes it’s a timing issue in the cloud environment. hope that helps!
In my experience transitioning from local testing to cloud runners like Zapier, the root of failures often lies in the details of asynchronous behavior and environmental configurations. I had a similar issue where multiple fetch calls would silently fail. What worked for me was to ensure each API call was fully awaited and that error handling was standardized across all calls, even if it meant refactoring a bit of code. Adding detailed logging helped reveal hidden network delays and timeouts that were not apparent in the local environment. Furthermore, rechecking any platform-specific settings and timeout configurations proved essential in resolving these issues.
During my troubleshooting on similar projects, I discovered that differences in how device environments handle asynchronous operations can be subtle yet impactful. I enhanced error checking by ensuring proper handling even when responses are not as expected. It was helpful to structure code around explicit waiting to make sure that the fetch calls completed in sequence, avoiding potential interference from network latency. This approach allowed me to isolate the problematic call when transitioning to cloud platforms, which ultimately led to identifying mismanaged timeouts and misconfigurations in the environment.