Accelerate innovation with Open Banking
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Bridge API by Dandelion provides text analysis through natural language processing, enabling you to extract meaning, categorize content, and understand sentiments in large volumes of text. Integrating Bridge with Pipedream opens a realm of possibilities for automating content analysis across various apps, aiding in decision making, content organization, and customer feedback analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bridge: {
type: "app",
app: "bridge",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bridgeapi.io/v2/banks`,
headers: {
"Client-Id": `${this.bridge.$auth.client_id}`,
"Client-Secret": `${this.bridge.$auth.client_secret}`,
"Bridge-Version": `2021-06-01`,
},
})
},
})
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}}