Bidsketch
Bidsketch is proposal software that helps you close deals in minutes. So you can focus on your work. It's proposal management that helps you cut your proposal time in half, up-sell for more revenue, close more deals in your sales pipeline.
Integrate the Bidsketch API with the Python API
Setup the Bidsketch API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bidsketch and Python remarkably fast. Free for developers.
Popular Bidsketch and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Bidsketch#
The Bidsketch API offers a gateway to streamline your proposal creation and management process. It empowers users to automate the drafting of proposals, maintain client data, and track proposal statuses without the manual hassle. With Pipedream, you can connect Bidsketch to a multitude of other apps, crafting workflows that trigger actions based on events such as proposal acceptance or comment additions, thus ensuring timely follow-ups and efficient client interaction.
Connect Bidsketch#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bidsketch: {
type: "app",
app: "bidsketch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bidsketch.com/api/v1/clients`,
headers: {
"Authorization": `Token token=${this.bidsketch.$auth.api_token}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}