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with PandaDoc and Data Stores?
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Popular Ways to Connect PandaDoc with Data Stores#
Popular PandaDoc and Data Stores Triggers#
Emit new event when a document failed to be created. See the documentation here
Emit new event when a document is deleted. See the documentation here
Emit new event when a document's state is changed. See the documentation here
Emit new event when a document is updated. See the documentation here
Emit new event when a recipient completes a document. See the documentation here
Popular PandaDoc and Data Stores Actions#
Adds an attachment to a document. See the documentation here
Add or update a single record in your Pipedream Data Store
Create a document from a file or public file URL. See the documentation here
Add or update multiple records to your Pipedream Data Store
Create a Document from a PandaDoc Template. See the documentation here
Overview of PandaDoc#
The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.
Connect PandaDoc#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pandadoc: {
type: "app",
app: "pandadoc",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pandadoc.com/public/v1/members/current/`,
headers: {
Authorization: `Bearer ${this.pandadoc.$auth.oauth_access_token}`,
},
})
},
})
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