Seamlessly Sync Your Facebook Ads Data to Python

Integrating Python and Facebook Ads has never been easier. Try Panoply for Free
Easily integrate data from over 30+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Facebook Ads data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Python as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync Facebook Ads and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with Python in minutes

Data scientists and analysts can now quickly ingest data into their python environment and write scripts to facilitate analytics and machine learning. The Panoply Smart Data Warehouse allows you to easily access data from a variety of sources in one central hub.

Panoply's Python integration reduces your analysis time, helping you to find insights that improve your business. With this data you’ll be building custom reports and dashboards in no time. Connect Python to over 100 data connectors without configuring any APIs or writing a single line of code. Panoply’s seamless Python integration is a great solution to get the most of your data without requiring a complicated data infrastructure.

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Yellowfin
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Zoho Analytics

Integrate with Facebook Ads in minutes

Seamlessly integrate data from your Facebook advertising campaigns with Panoply. As Facebook continues to grow its digital advertising presence, the average organization has sizeable advertising data that needs to be stored and analyzed. With Panoply, storing that data is instant, without requiring any manual ETL or ELT processing. The data can then be analyzed from within the platform, providing greater feedback on ad performance, including user data, platform, associated text and images, and more. The data can also be compared and analyzed with other data sources, giving you greater detail about your market and ad campaigns. Panoply’s Facebook ad integration is ready immediately so that your raw data can be converted to actionable insights in minutes. Panoply makes it easier to increase engagement and maximize your Facebook ad ROI.

Learn more:
Documentation
Facebook Ads Data Warehousing
Facebook Ads Business Intelligence

See all Integrations

Other integrations with Facebook Ads

Facebook Ads +
Chartio
Facebook Ads +
Tableau
Facebook Ads +
Power BI
Facebook Ads +
Looker
Facebook Ads +
Mode Analytics
Facebook Ads +
Cumul.io
Facebook Ads +
Metabase
Facebook Ads +
Redash
Facebook Ads +
Google Data Studio
Facebook Ads +
SeekWell
Facebook Ads +
Apache Superset
Facebook Ads +
Grafana
Facebook Ads +
Trevor.io
Facebook Ads +
Qlik
Facebook Ads +
Amazon QuickSight
Facebook Ads +
Domo
Facebook Ads +
Alteryx
Facebook Ads +
Apache Zeppelin
Facebook Ads +
Birst
Facebook Ads +
CARTO
Facebook Ads +
Databricks
Facebook Ads +
GoodData
Facebook Ads +
Holistics
Facebook Ads +
IBM Cognos
Facebook Ads +
JackDB
Facebook Ads +
Jupyter
Facebook Ads +
Klipfolio
Facebook Ads +
KNIME
Facebook Ads +
MicroStrategy
Facebook Ads +
Pentaho
Facebook Ads +
Plotly
Facebook Ads +
PopSQL
Facebook Ads +
Python
Facebook Ads +
R
Facebook Ads +
Shiny
Facebook Ads +
ThoughtSpot
Facebook Ads +
TIBCO Spotfire X
Facebook Ads +
Trifacta
Facebook Ads +
Yellowfin
Facebook Ads +
Zoho Analytics
Facebook Ads +
Alooma
Facebook Ads +
Amazon DynamoDB
Facebook Ads +
Amazon S3
Facebook Ads +
AppsFlyer
Facebook Ads +
Asana
Facebook Ads +
Attunity
Facebook Ads +
BigQuery
Facebook Ads +
Bing Ads
Facebook Ads +
CSV
Facebook Ads +
Delighted
Facebook Ads +
Elasticsearch
Facebook Ads +
etleap
Facebook Ads +
Facebook Pages
Facebook Ads +
Facebook Posts
Facebook Ads +
Fivetran
Facebook Ads +
Flydata
Facebook Ads +
GitHub
Facebook Ads +
Google Ads
Facebook Ads +
Google Analytics
Facebook Ads +
Google Cloud Datastore
Facebook Ads +
Google Cloud Storage
Facebook Ads +
Google Drive
Facebook Ads +
Google Analytics Ecommerce
Facebook Ads +
Google Search Console
Facebook Ads +
Google Sheets
Facebook Ads +
HubSpot
Facebook Ads +
Informatica PowerCenter
Facebook Ads +
Instagram
Facebook Ads +
Intercom
Facebook Ads +
Jaspersoft
Facebook Ads +
JSON
Facebook Ads +
LinkedIn Ads
Facebook Ads +
MailChimp
Facebook Ads +
Matillion
Facebook Ads +
Microsoft Azure SQL Data Warehouse
Facebook Ads +
Microsoft Excel
Facebook Ads +
Microsoft SQL Server
Facebook Ads +
MongoDB
Facebook Ads +
MySQL
Facebook Ads +
Pardot
Facebook Ads +
PostgreSQL
Facebook Ads +
Redshift
Facebook Ads +
Rivery
Facebook Ads +
Salesforce
Facebook Ads +
Segment
Facebook Ads +
Shopify
Facebook Ads +
Singer
Facebook Ads +
Skyvia
Facebook Ads +
Slamdata
Facebook Ads +
SnapLogic
Facebook Ads +
Snowplow
Facebook Ads +
Stitch
Facebook Ads +
Striim
Facebook Ads +
Stripe
Facebook Ads +
Sybase
Facebook Ads +
Talend
Facebook Ads +
Tray.io
Facebook Ads +
Twilio
Facebook Ads +
Twitter Ads
Facebook Ads +
Twitter
Facebook Ads +
Upload Data
Facebook Ads +
Woocommerce
Facebook Ads +
Wordpress
Facebook Ads +
Xplenty
Facebook Ads +
Zapier
Facebook Ads +
Zendesk

Try It Now

Start syncing your Facebook Ads data to Python now. Get a full Panoply trial free for 14 days.

Try Panoply Free Request Demo

Free 14 day trial. No credit card required.

Frequently Asked Questions

How do I connect Python to my Facebook Ads data?
To analyze your Facebook Ads data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Facebook Ads data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Facebook Ads data in Panoply via an ODBC connection.
What data can I integrate with Python?
Panoply allows you to integrate Python with 60+ data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With unlimited access to over 60 data integrations, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.