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with Automatic Data Extraction and Data Stores?
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Popular Automatic Data Extraction and Data Stores Actions#
Extract data from a specified URL See the docs here
Add or update a single record in your Pipedream Data Store
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
Overview of Automatic Data Extraction#
The Automatic Data Extraction API by Zyte specializes in extracting structured data from web pages. When incorporated into Pipedream workflows, this API allows you to automate the process of gathering web data, which can feed into various tasks such as market research, price monitoring, or even lead generation. By triggering workflows with new data inputs, processing and storing the extracted data, and connecting to other apps, Pipedream amplifies the API's utility.
Connect Automatic Data Extraction#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
automatic_data_extraction: {
type: "app",
app: "automatic_data_extraction",
}
},
async run({steps, $}) {
const data = JSON.stringify([{
'url': 'http://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html',
'pageType': 'product',
}]);
return await axios($, {
method: "post",
url: `https://autoextract.scrapinghub.com/v1/extract`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.automatic_data_extraction.$auth.api_key}`,
password: ``,
},
data,
})
},
})
Overview of Data Stores#
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.
Connect Data Stores#
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")
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies