Take Digital Signatures in PDF & forms | Best Digital software | Affordable Digital Signature Software.
Emit new event when a filled form response is received.
Emit new event when a PDF document is fully signed. See the documentation
Emit new event when a new form template response is filled.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Enables form dispatching to a specific recipient. See the documentation
Dispatch a predefined template to obtain a signature. See the documentation
Boloforms is a powerful tool designed to handle form submissions without the need for a server. With the Boloforms API, you can dynamically process, store, and manage form submissions. By integrating Boloforms with Pipedream, you can automate workflows, trigger actions in other apps, and streamline data management, making it an excellent choice for businesses and developers looking to enhance their form handling capabilities. Pipedream's capabilities allow you to connect Boloforms data with numerous other services like email platforms, databases, and CRM systems to enhance functionality and automate routine tasks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
boloforms: {
type: "app",
app: "boloforms",
}
},
async run({ steps, $ }) {
return await axios($, {
url: "https://signature-backend.boloforms.com/api/v1/signature/get-all-forms/v1",
headers: {
"x-api-key": this.boloforms.$auth.api_key,
"workspaceId": this.boloforms.$auth.workspace_id,
},
params: {
currentUserEmail: this.boloforms.$auth.email,
page: 1,
filter: "ALL",
},
});
},
});
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}}