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Popular Ways to Connect Salesforce with Python#
Popular Salesforce and Python Triggers#
Emit new event when a record of the selected object type is deleted. See the documentation
Emit new event when a new outbound message is received in Salesforce.
Emit new event when a record of the selected object type is created. See the documentation
Emit new event when a record of the selected type is updated. See the documentation
Popular Salesforce and Python Actions#
Adds an existing contact to an existing campaign. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Adds an existing lead to an existing campaign. See the documentation
Converts a SOAP XML Object received from Salesforce to JSON
Overview of Salesforce#
The Salesforce (REST API) provides a powerful platform for creating and managing customer relationships with a wide array of features like data manipulation, querying, and complex automation. With Pipedream's serverless execution, you can create workflows that automate your sales processes, sync data with other platforms, enhance customer engagement, and trigger actions based on specific events. Dive into Salesforce data, streamline lead management, track customer interactions, and push or pull data to or from Salesforce seamlessly.
Connect Salesforce#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
salesforce_rest_api: {
type: "app",
app: "salesforce_rest_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.salesforce_rest_api.$auth.instancetype}/services/oauth2/userinfo`,
headers: {
Authorization: `Bearer ${this.salesforce_rest_api.$auth.oauth_access_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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies