Simple Salesforce is a basic Salesforce.com REST API client built for Python 2.6, 2.7, 3.3 and 3.4. The goal is to provide a very low-level interface to the REST Resource and APEX API, returning a dictionary of the API JSON response.
You can find out more regarding the format of the results in the Official Salesforce.com REST API Documentation
There are two ways to gain access to Salesforce
The first is to simply pass the domain of your Salesforce instance and an access token straight to Salesforce()
For example:
from simple_salesforce import Salesforce
sf = Salesforce(instance='na1.salesforce.com', session_id='')If you have the full URL of your instance (perhaps including the schema, as is included in the OAuth2 request process), you can pass that in instead using instance_url:
from simple_salesforce import Salesforce
sf = Salesforce(instance_url='https://na1.salesforce.com', session_id='')There are also two means of authentication, one that uses username, password and security token and the other that uses IP filtering, username, password and organizationId
To login using the security token method, simply include the Salesforce method and pass in your Salesforce username, password and token (this is usually provided when you change your password):
from simple_salesforce import Salesforce
sf = Salesforce(username='myemail@example.com', password='password', security_token='token')To login using IP-whitelist Organization ID method, simply use your Salesforce username, password and organizationId:
from simple_salesforce import Salesforce
sf = Salesforce(password='password', username='myemail@example.com', organizationId='OrgId')If you'd like to enter a sandbox, simply add sandbox=True to your Salesforce() call.
For example:
from simple_salesforce import Salesforce
sf = Salesforce(username='myemail@example.com.sandbox', password='password', security_token='token', sandbox=True)Note that specifying if you want to use a sandbox is only necessary if you are using the built-in username/password/security token authentication and is used exclusively during the authentication step.
If you'd like to keep track where your API calls are coming from, simply add client_id='My App' to your Salesforce() call.
from simple_salesforce import Salesforce
sf = Salesforce(username='myemail@example.com.sandbox', password='password', security_token='token', sandbox=True, client_id='My App')If you view the API calls in your Salesforce instance by Client Id it will be prefixed with RestForce/, for example RestForce/My App.
When instantiating a Salesforce object, it's also possible to include an instance of requests.Session. This is to allow for specialized session handling not otherwise exposed by simple_salesforce.
For example:
from simple_salesforce import Salesforce
import requests
session = requests.Session()
# manipulate the session instance (optional)
sf = Salesforce(
username='user@example.com', password='password', organizationId='OrgId',
session=session)To create a new 'Contact' in Salesforce:
sf.Contact.create({'LastName':'Smith','Email':'example@example.com'})This will return a dictionary such as {u'errors': [], u'id': u'003e0000003GuNXAA0', u'success': True}
To get a dictionary with all the information regarding that record, use:
contact = sf.Contact.get('003e0000003GuNXAA0')To get a dictionary with all the information regarding that record, using a custom field that was defined as External ID:
contact = sf.Contact.get_by_custom_id('My_Custom_ID__c', '22')To change that contact's last name from 'Smith' to 'Jones' and add a first name of 'John' use:
sf.Contact.update('003e0000003GuNXAA0',{'LastName': 'Jones', 'FirstName': 'John'})To delete the contact:
sf.Contact.delete('003e0000003GuNXAA0')To retrieve a list of deleted records between 2013-10-20 to 2013-10-29 (datetimes are required to be in UTC):
import pytz
import datetime
end = datetime.datetime.now(pytz.UTC) # we need to use UTC as salesforce API requires this!
sf.Contact.deleted(end - datetime.timedelta(days=10), end)To retrieve a list of updated records between 2014-03-20 to 2014-03-22 (datetimes are required to be in UTC):
import pytz
import datetime
end = datetime.datetime.now(pytz.UTC) # we need to use UTC as salesforce API requires this
sf.Contact.updated(end - datetime.timedelta(days=10), end)Note that Update, Delete and Upsert actions return the associated Salesforce HTTP Status Code
Use the same format to create any record, including 'Account', 'Opportunity', and 'Lead'. Make sure to have all the required fields for any entry. The Salesforce API has all objects found under 'Reference -> Standard Objects' and the required fields can be found there.
It's also possible to write select queries in Salesforce Object Query Language (SOQL) and search queries in Salesforce Object Search Language (SOSL).
SOQL queries are done via:
sf.query("SELECT Id, Email FROM Contact WHERE LastName = 'Jones'")If, due to an especially large result, Salesforce adds a nextRecordsUrl to your query result, such as "nextRecordsUrl" : "/services/data/v26.0/query/01gD0000002HU6KIAW-2000", you can pull the additional results with either the ID or the full URL (if using the full URL, you must pass 'True' as your second argument)
sf.query_more("01gD0000002HU6KIAW-2000")
sf.query_more("/services/data/v26.0/query/01gD0000002HU6KIAW-2000", True)As a convenience, to retrieve all of the results in a single local method call use
sf.query_all("SELECT Id, Email FROM Contact WHERE LastName = 'Jones'")SOSL queries are done via:
sf.search("FIND {Jones}")There is also 'Quick Search', which inserts your query inside the {} in the SOSL syntax. Be careful, there is no escaping!
sf.quick_search("Jones")Search and Quick Search return None if there are no records, otherwise they return a dictionary of search results.
More details about syntax is available on the Salesforce Query Language Documentation Developer Website
To insert or update (upsert) a record using an external ID, use:
sf.Contact.upsert('customExtIdField__c/11999',{'LastName': 'Smith','Email': 'smith@example.com'})To retrieve basic metadata use:
sf.Contact.metadata()To retrieve a description of the object, use:
sf.Contact.describe()To retrieve a description of the record layout of an object by its record layout unique id, use:
sf.Contact.describe_layout('39wmxcw9r23r492')To retrieve a list of top level description of instance metadata, user:
sf.describe()
for x in sf.describe()["sobjects"]:
print x["label"]You can use this library to access Bulk API functions.
Create new records:
data = [{'LastName':'Smith','Email':'example@example.com'}, {'LastName':'Jones','Email':'test@test.com'}]
sf.bulk.Contact.insert(data)Update existing records:
data = [{'Id': '0000000000AAAAA', 'Email': 'examplenew@example.com'}, {'Id': '0000000000BBBBB', 'Email': 'testnew@test.com'}]
sf.bulk.Contact.update(data)Upsert records:
data = [{'Id': '0000000000AAAAA', 'Email': 'examplenew2@example.com'}, {'Id': '', 'Email': 'foo@foo.com'}]
sf.bulk.Contact.upsert(data, 'Id')Query records:
query = 'SELECT Id, Name FROM Account LIMIT 10'
sf.bulk.Account.query(query)Delete records (soft deletion):
data = [{'Id': '0000000000AAAAA'}]
sf.bulk.Contact.delete(data)Hard deletion:
data = [{'Id': '0000000000BBBBB'}]
sf.bulk.Contact.hard_delete(data)You can also use this library to call custom Apex methods:
payload = {
"activity": [
{"user": "12345", "action": "update page", "time": "2014-04-21T13:00:15Z"}
]
}
result = sf.apexecute('User/Activity', method='POST', data=payload)This would call the endpoint https://<instance>.salesforce.com/services/apexrest/User/Activity with data= as
the body content encoded with json.dumps
You can read more about Apex on the Force.com Apex Code Developer's Guide
There are a few helper classes that are used internally and available to you.
Included in them are SalesforceLogin, which takes in a username, password, security token, optional boolean sandbox indicator and optional version and returns a tuple of (session_id, sf_instance) where session_id is the session ID to use for authentication to Salesforce and sf_instance is the domain of the instance of Salesforce to use for the session.
For example, to use SalesforceLogin for a sandbox account you'd use:
from simple_salesforce import SalesforceLogin
session_id, instance = SalesforceLogin(
username='myemail@example.com.sandbox',
password='password',
security_token='token',
sandbox=True)Simply leave off the final True if you do not wish to use a sandbox.
Also exposed is the SFType class, which is used internally by the __getattr__() method in the Salesforce() class and represents a specific SObject type. SFType requires object_name (i.e. Contact), session_id (an authentication ID), sf_instance (hostname of your Salesforce instance), and an optional sf_version
To add a Contact using the default version of the API you'd use:
from simple_salesforce import SFType
contact = SFType('Contact','sesssionid','na1.salesforce.com')
contact.create({'LastName':'Smith','Email':'example@example.com'})To use a proxy server between your client and the SalesForce endpoint, use the proxies argument when creating SalesForce object. The proxy argument is the same as what requests uses, a map of scheme to proxy URL:
proxies = {
"http": "http://10.10.1.10:3128",
"https": "http://10.10.1.10:1080",
}
SalesForce(instance='na1.salesforce.com', session_id='', proxies=proxies)All results are returned as JSON converted OrderedDict to preserve order of keys from REST responses.
- Create a virtualenv:
- $ pip install virtualenv $ virtualenv venv $ source venv/bin/activate
- Install tox:
- $ pip install tox
- Run Tests:
- $ tox
- Close virtual environment:
- $ deactivate
This package is released under an open source Apache 2.0 license. Simple-Salesforce was originally written by Nick Catalano but most newer features and bugfixes come from community contributors. Pull requests submitted to the GitHub Repo are highly encouraged!
Authentication mechanisms were adapted from Dave Wingate's RestForce and licensed under a MIT license
The latest build status can be found at Travis CI