with ScrapingBot and Google Vertex AI?
Retrieve data from a social media scraping job by responseId. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Use ScrapingBot API to initiate scraping data from a social media site. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Use ScrapingBot API to extract specific data from Google or Bing search results. See the documentation
ScrapingBot API on Pipedream allows you to scrape websites without getting blocked, fetching crucial information while bypassing common defenses. Whether you're extracting product details, real estate listings, or automating competitor research, this API combined with Pipedream's serverless platform offers you the tools to automate these tasks efficiently. Pipedream's ability to trigger workflows via HTTP requests, schedule them, or react to events, means you can create robust scraping operations that integrate seamlessly with hundreds of other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scrapingbot: {
type: "app",
app: "scrapingbot",
}
},
async run({steps, $}) {
const data = {
"url": ``,
}
return await axios($, {
method: "post",
url: `http://api.scraping-bot.io/scrape/raw-html`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.scrapingbot.$auth.username}`,
password: `${this.scrapingbot.$auth.api_key}`,
},
data,
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})