with WebScraper.IO and Azure OpenAI?
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
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Creates a sitemap for the selected website. See the docs here
Classify items into specific categories. 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 Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_openai_service: {
type: "app",
app: "azure_openai_service",
}
},
async run({steps, $}) {
const data = {
"messages": [{ role: 'user', content: "Hello, world!" }],
}
return await axios($, {
method: "post",
url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
headers: {
"Content-Type": `application/json`,
"api-key": `${this.azure_openai_service.$auth.api_key}`,
},
data,
})
},
})