Integrate the Forms On Fire API with the Schedule API

Setup the Forms On Fire API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Forms On Fire and Schedule remarkably fast. Free for developers.

Popular Forms On Fire and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Connect Forms On Fire#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    forms_on_fire: {
      type: "app",
      app: "forms_on_fire",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://secure.formsonfire.com/api/v2/user`,
      params: {
        format: `json`,
        CompanyId: `${this.forms_on_fire.$auth.company_id}`,
        Integrationkey: `${this.forms_on_fire.$auth.integration_key}`,
        Email: `[replace_with_user_email]`,
      },
    })
  },
})

Overview of Schedule#

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

Automated data retrieval from a third-party service, like pulling stats from
your Salesforce account on a set schedule.
Uploading new data sets to a database with a predetermined interval.
Automatic emails to customers or leads at a certain time of the day.
Automating data analysis based on a set schedule.
Automatically optimizing social media postings according to a specified
timeline.
Updating webpages at a certain interval with newly available content.
Re-running reports on a periodic basis.
Refreshing a cache of data at a given frequency.