with WebScraping.AI and Data Stores?
Gets an answer to a question about a given webpage. See the documentation
Add or update a single record in your Pipedream Data Store
Returns the full HTML content of a webpage specified by the URL. See the documentation:
Add or update multiple records to your Pipedream Data Store
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}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})