with Google Gemini and Automatic Data Extraction?
Generates content from text input using the Google Gemini API. See the documentation
Extract data from a specified URL See the docs here
Generates content from both text and image input using the Gemini API. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
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
})
},
})
The Automatic Data Extraction API by Zyte specializes in extracting structured data from web pages. When incorporated into Pipedream workflows, this API allows you to automate the process of gathering web data, which can feed into various tasks such as market research, price monitoring, or even lead generation. By triggering workflows with new data inputs, processing and storing the extracted data, and connecting to other apps, Pipedream amplifies the API's utility.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
automatic_data_extraction: {
type: "app",
app: "automatic_data_extraction",
}
},
async run({steps, $}) {
const data = JSON.stringify([{
'url': 'http://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html',
'pageType': 'product',
}]);
return await axios($, {
method: "post",
url: `https://autoextract.scrapinghub.com/v1/extract`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.automatic_data_extraction.$auth.api_key}`,
password: ``,
},
data,
})
},
})