with Oxylabs and Google Vertex AI?
Emit new event when a new scheduled run is completed. See the documentation
Establish a proxy session using the Residential Proxy endpoint. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
The Oxylabs API provides robust tools for web data extraction, enabling you to gather vast amounts of data efficiently from various sources across the web. With Pipedream's serverless platform, you can harness this power to create automated workflows that trigger on specific events, process the data, and connect to other services. Whether you're monitoring brand sentiment, tracking prices, or conducting market research, integrating Oxylabs with Pipedream can significantly streamline your data collection and analysis tasks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
oxylabs: {
type: "app",
app: "oxylabs",
}
},
async run({steps, $}) {
const data = {
"geo_location": `United States`,
"url": `https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html`,
"source": `universal`,
}
return await axios($, {
method: "post",
url: `https://${this.oxylabs.$auth.api_name}.oxylabs.io/v1/queries`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.oxylabs.$auth.username}`,
password: `${this.oxylabs.$auth.password}`,
},
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}`,
},
})
},
})