Web services API for interacting with Salesforce
Emit new event immediately after an object of arbitrary type (selected as an input parameter by the user) is deleted
Emit new event (at regular intervals) when an object of arbitrary type (selected as an input parameter by the user) is deleted. See the docs for more information.
Emit new event immediately after an object of arbitrary type (selected as an input parameter by the user) is created
Emit new event when a new outbound message is received in Salesforce. See Salesforce's guide on setting up Outbound Messaging. Set the Outbound Message's Endpoint URL to the endpoint of the created source. The "Send Session ID" option must be enabled for validating outbound messages from Salesforce.
Adds an existing contact to an existing campaign. See Event SObject and Create Record
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 Event SObject and Create Record
Converts a SOAP XML Object received from Salesforce to JSON
Creates a Salesforce account, representing an individual account, which is an organization or person involved with your business (such as customers, competitors, and partners). See Account SObject and Create Record
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}`,
},
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
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}}