Shop for handmade, vintage, custom, and unique gifts
Emit new event when a new shop receipt is created. See the Documentation
Emit new event when a new transaction is created. See the Documentation
Creates a physical draft listing product in a shop on the Etsy channel. See the Documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Open API V3 endpoint to delete a ShopListing. A ShopListing can be deleted only if the state is one of the following: SOLD_OUT
, DRAFT
, EXPIRED
, INACTIVE
, ACTIVE
and is_available
or ACTIVE
and has seller flags: SUPRESSED
(frozen), VACATION
, CUSTOM_SHOPS
(pattern), SELL_ON_FACEBOOK
. See the Documentation
Retrieves the inventory record for a listing by listing ID. See the Documentation
Etsy is a global e-commerce platform specializing in handmade, vintage, and craft items. It offers a marketplace where artisans can connect directly with buyers. The term 'Etsy' is a trademark of Etsy, Inc. This application uses the Etsy API but is not endorsed or certified by Etsy.
The Etsy API provides a rich interface to interact with the popular e-commerce platform known for its unique, handmade, and vintage items. Using the Etsy API via Pipedream, you can automate various aspects of your Etsy shop, including inventory management, order processing, and customer engagement. It opens up possibilities for streamlining mundane tasks, reacting to shop events in real-time, and syncing data across different platforms, enhancing the efficiency and responsiveness of your online business operations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
etsy: {
type: "app",
app: "etsy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://openapi.etsy.com/v3/application/users/me`,
headers: {
Authorization: `Bearer ${this.etsy.$auth.oauth_access_token}`,
"x-api-key": `${this.etsy.$auth.oauth_client_id}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}