salesforce-cdp-connector
Salesforce Data Cloud Python Connector
Decision gist · record as of 2026-08-14
No for new projects—the package is explicitly deprecated in favor of salesforce-datacloud-connector. Yes-with-conditions for existing codebases already using it: the package is actively maintained and has no known vulnerabilities, but plan a migration to the newer package. Do not start new projects with this connector.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Salesforce connected app configured with Client Credentials flow enabled and appropriate OAuth scopes (refresh_token, api, cdp_query_api, cdp_profile_api).
- Low install friction with standard dependencies.
- Active maintenance as of 2026-06-02 with recent commits; however, this package is explicitly deprecated in favor of salesforce-datacloud-connector, which is recommended for new projects.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is permissive and allows commercial use, modification, and distribution with minimal restrictions, making it suitable for most integration scenarios.
last release 2026-06-02 (73 days) · last repo commit 2026-08-14 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 79,438 downloads/mo, #14,358 on PyPI
Alternatives
Verify before relying
from salesforcecdpconnector.connection import SalesforceCDPConnection
conn = SalesforceCDPConnection(
login_url='<url>',
client_id='<id>',
client_secret='<secret>'
)
cur = conn.cursor()
cur.execute('<query>')
results = cur.fetchall()- Whether the package's deprecation timeline affects support or bug fixes going forward.
- Performance characteristics when handling large result sets or complex queries.
- Compatibility guarantees with Salesforce API versions and Data Cloud feature releases.
What it is and what it does
salesforce-cdp-connector is a read-only Python client for Salesforce Data Cloud (CDP) that lets you authenticate to Salesforce and execute queries against your CDP instance. It supports multiple authentication flows—JWT with private keys, username/password, OAuth tokens, and client credentials—and returns results either as raw cursor objects or directly as pandas dataframes. The package wraps the Salesforce CDP API behind a simple connection interface, handling authentication and query execution so you can focus on data retrieval and analysis.
However, this package is deprecated and will be removed once salesforce-datacloud-connector reaches general availability. The maintainers recommend migrating existing projects and using the newer package for all new work. While the current version remains active and receives commits, choosing this package means committing to a future migration path.
Use it for
- Extract customer segments or profiles from Salesforce Data Cloud into a pandas dataframe for analysis or reporting.
- Build a scheduled ETL job that queries CDP data and loads results into a data warehouse or analytics platform.
- Authenticate to Salesforce CDP using client credentials in a server-to-server integration without user context.
- Execute ad-hoc CDP queries from a Python notebook or script using cursor-based result fetching.
- Query a non-default dataspace in your Salesforce CDP instance for multi-tenant or isolated data access.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No for new projects—the package is explicitly deprecated in favor of salesforce-datacloud-connector.
Yes-with-conditions for existing codebases already using it: the package is actively maintained and has no known vulnerabilities, but plan a migration to the newer package. Do not start new projects with this connector.
Install
salesforce-cdp-connector on PyPI
Before you install
Low install friction with standard dependencies. Active maintenance as of 2026-06-02 with recent commits; however, this package is explicitly deprecated in favor of salesforce-datacloud-connector, which is recommended for new projects.
Requires a Salesforce connected app configured with Client Credentials flow enabled and appropriate OAuth scopes (refresh_token, api, cdp_query_api, cdp_profile_api).
License in practice
BSD-3-Clause is permissive and allows commercial use, modification, and distribution with minimal restrictions, making it suitable for most integration scenarios.
Quickstart
from salesforcecdpconnector.connection import SalesforceCDPConnection
conn = SalesforceCDPConnection(
login_url='<url>',
client_id='<id>',
client_secret='<secret>'
)
cur = conn.cursor()
cur.execute('<query>')
results = cur.fetchall()Verify before relying
- Whether the package's deprecation timeline affects support or bug fixes going forward.
- Performance characteristics when handling large result sets or complex queries.
- Compatibility guarantees with Salesforce API versions and Data Cloud feature releases.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagespandaspyarrowpyjwtpython-dateutilrequestsurllib3 |
| Maintenance | Actively maintained 73 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 79,438 / month, #14,358 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: salesforce_cdp_connector-1.0.20-py3-none-any.whl
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See also snowflake-connector-python · pyadomd · presto-python-client · Salesforce-FuelSDK-Sans · cdp-sdk · Salesforce-FuelSDK · customerio-cdp-analytics · pandas-gbq · salesforce-api · simple-salesforce