Airparser
Revolutionize data extraction with the GPT-powered document parser.
Integrate the Airparser API with the Data Stores API
Setup the Airparser API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Airparser and Data Stores remarkably fast. Free for developers.
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Popular Ways to Connect Airparser with Data Stores#
Popular Airparser and Data Stores Triggers#
Emit new event when a document is parsed. See the documentation
Popular Airparser and Data Stores Actions#
Extracts structured data based on a user-predefined extraction schema. See the documentation
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
Uploads a document into the inbox for data extraction. See the documentation
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.
Overview of Airparser#
The Airparser API simplifies the process of extracting data from emails, such as order confirmations, shipping notifications, or any structured email content. By transforming emails into structured data, it enables seamless integration of email data into various workflows. On Pipedream, you can leverage this API to create automations that act on the parsed data—like updating databases, triggering notifications, or integrating with other apps and services.
Connect Airparser#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airparser: {
type: "app",
app: "airparser",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airparser.com/inboxes/`,
headers: {
"X-API-Key": `${this.airparser.$auth.api_key}`,
},
})
},
})
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