with Ambivo and FogBugz?
Emit new event instantaneously when something significant happens to a case.
Emit new new event when there's a new case under a specified filter. Note this may not effectively work for filters that generate results too long, or filters with more than 50,000 cases, especially if your FogBugz site is running Ocelot.
The Ambivo API provides access to a range of services for web scraping, image processing, and data extraction. On Pipedream, you can leverage these capabilities to automate workflows that require the transformation and analysis of content from various sources. Whether you're looking to extract text from images, scrape web data without getting blocked, or perform content-based image retrieval, Ambivo can be integrated with Pipedream's serverless platform to build robust and scalable automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ambivo: {
type: "app",
app: "ambivo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://fapi.ambivo.com/crm/contacts/created`,
headers: {
Authorization: `Bearer ${this.ambivo.$auth.access_token}`,
},
})
},
})
The FogBugz API allows you to interact with your FogBugz software development tracking system programmatically. With this API, you can create, read, update, and delete cases; manage projects, areas, and categories; and perform searches to gather data-driven insights. Integrating FogBugz with Pipedream opens up possibilities for automating workflows, syncing data across platforms, and reacting to events within FogBugz in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fogbugz: {
type: "app",
app: "fogbugz",
}
},
async run({steps, $}) {
const data = {
"cmd": `listPeople`,
"token": `${this.fogbugz.$auth.api_token}`,
}
return await axios($, {
method: "post",
url: `https://${this.fogbugz.$auth.your_site}.fogbugz.com/f/api/0/jsonapi`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})