with WebScraping.AI and Google Gemini?
Gets an answer to a question about a given webpage. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Returns the full HTML content of a webpage specified by the URL. See the documentation:
Generates content from both text and image input using the Gemini API. See the documentation
Returns the visible text content of a webpage specified by the URL. See the documentation
WebScraping.AI API provides powerful tools for extracting data from websites, enabling users to retrieve structured information without the hassle of setting up a custom scraper. It handles proxy rotation, browsers, and CAPTCHAs, allowing you to focus on data collection. With Pipedream, you can harness this capability to create automated workflows that trigger on various events, process web content, and connect with countless other apps to feed data pipelines, monitor changes, or populate databases.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webscraping_ai: {
type: "app",
app: "webscraping_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.webscraping.ai/account`,
params: {
api_key: `${this.webscraping_ai.$auth.api_key}`,
},
})
},
})
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
})
},
})