with Findymail and Google Gemini?
Creates a new list of contacts in Findymail. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Finds an email address using a given full name and a website domain. See the documentation
The Findymail API provides a way to enrich and validate email contacts. Leveraging Pipedream's capabilities, you can automate workflows that trigger on various events to lookup emails, auto-populate CRM fields, validate email data, or even enhance marketing lists with accurate contact information. Using Findymail's API in Pipedream, you can create intricate serverless workflows that react to various triggers, such as webhooks, scheduled timers, or actions from other apps, to integrate email data enrichment into your business processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
findymail: {
type: "app",
app: "findymail",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.findymail.com/api/credits`,
headers: {
Authorization: `Bearer ${this.findymail.$auth.api_key}`,
"Content-Type": `application/json`,
"Accept": `application/json`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})