{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"}],"enrichment":{"capability":"Integrates Salesforce data operations into Apache Airflow workflows, providing operators and hooks to query, load, and manage Salesforce records as scheduled tasks.","skillfed_tags":["airflow-provider","salesforce-integration","etl"],"use_cases":["Export Salesforce records to S3 or another cloud store on a daily or hourly schedule.","Load transformed data from a data lake back into Salesforce as a scheduled batch job.","Monitor Salesforce data quality by running periodic queries and alerting on anomalies.","Synchronize Salesforce records with an internal database as part of a multi-step ETL pipeline.","Archive historical Salesforce data to cold storage on a retention schedule."],"what_it_does":"This is an Apache Airflow provider package that adds Salesforce connectivity to Airflow workflows. It wraps the simple-salesforce library and pandas to enable scheduled, programmatic access to Salesforce data\u2014querying records, exporting to cloud storage, or loading data into Salesforce as part of larger data pipelines. The package is maintained as part of the Apache Airflow project and follows Airflow's provider architecture, meaning it integrates cleanly with Airflow's DAG execution model, connection management, and operator framework.\n\nYou install it alongside an existing Airflow deployment (minimum version 2.11.0) and then use its operators and hooks within your DAG definitions. It supports Python 3.10 through 3.14 and has no known security vulnerabilities. The package is actively maintained\u2014the latest release is recent\u2014and sits in the top 5000 PyPI packages by download volume, indicating real production use.","worth_installing":"Yes, if you run Apache Airflow and need to integrate Salesforce into your data workflows. The package is production-stable, actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low. The only gotcha is the hard dependency on Airflow >=2.11.0 and valid Salesforce credentials\u2014if you don't have an Airflow deployment already, this package alone won't help."},"id":"apache-airflow-providers-salesforce","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-salesforce","md":"https://skillfed.io/packages/apache-airflow-providers-salesforce.md","pypi":"https://pypi.org/project/apache-airflow-providers-salesforce/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-salesforce","python_support":"supports_current","summary":"Provider package apache-airflow-providers-salesforce for Apache Airflow"},"popularity":{"monthly_downloads":969934,"position":4610,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"5.14.2"}