with WebScraper.IO and Google Gemini?
Emit new event when a page scraping job has completed. See the docs here
Creates a scraping job (scrapes a sitemap). See the docs here
Generates content from text input using the Google Gemini API. See the documentation
Creates a sitemap for the selected website. See the docs here
Generates content from both text and image input using the Gemini API. See the documentation
Retrieves a list of scraping jobs for a sitemap. See the docs here
The WebScraper.IO API allows you to programmatically perform web scraping tasks, extracting structured data from websites. With the API, you can automate the gathering of web content for analysis, monitoring, and integration with other data sources. In Pipedream, you can leverage this API to build workflows that process, analyze, and act on the data you scrape without writing code for backend infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webscraper_io: {
type: "app",
app: "webscraper_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.webscraper.io/api/v1/sitemaps`,
params: {
api_token: `${this.webscraper_io.$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
})
},
})