Analyze your Facebook Ads data in Python

Getting your data from Facebook Ads to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Facebook Ads and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

It’s that simple: Unblock your data with Panoply.

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How it works

Connect to Facebook Ads without complicated code.

Insights check Ads Sets Ads

Automatically sync and store the data you want with table-level control.

See the Facebook Ads data Panoply collects

Connect to Python and start analyzing in minutes.

Insights check Ads Sets Ads

Get started

for free

Free 21-Day Proof of Value

Query-ready data with just a few clicks

Seamlessly update all your Python reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
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Code-free data pipeline
Easily connect Facebook Ads and all your other data sources with automated integrations that take pipeline management off your to-do list.
See all data source integrations
Fuel your analytics
Power BI and analytical tools like Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

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

Our connectors

Other connectors with Facebook Ads

Facebook Ads +
Count
Facebook Ads +
Tableau
Facebook Ads +
Power BI
Facebook Ads +
Looker
Facebook Ads +
Luzmo
Facebook Ads +
Mode Analytics
Facebook Ads +
Panintelligence
Facebook Ads +
Metabase
Facebook Ads +
Looker Studio
Facebook Ads +
Redash
Facebook Ads +
Apache Superset
Facebook Ads +
SeekWell
Facebook Ads +
Amazon QuickSight
Facebook Ads +
Domo
Facebook Ads +
Grafana
Facebook Ads +
Qlik
Facebook Ads +
Trevor.io
Facebook Ads +
Draxlr
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 +
Jupyter
Facebook Ads +
Klipfolio
Facebook Ads +
KNIME
Facebook Ads +
MicroStrategy
Facebook Ads +
Pentaho
Facebook Ads +
Plotly
Facebook Ads +
PopSQL
Facebook Ads +
Julia
Facebook Ads +
Pandas
Facebook Ads +
Python
Facebook Ads +
SQL
Facebook Ads +
R
Facebook Ads +
Shiny
Facebook Ads +
ThoughtSpot
Facebook Ads +
TIBCO Spotfire X
Facebook Ads +
Yellowfin
Facebook Ads +
Zoho Analytics
Facebook Ads +
Amazon DynamoDB
Facebook Ads +
Amazon S3
Facebook Ads +
AppsFlyer
Facebook Ads +
Asana
Facebook Ads +
BigCommerce
Facebook Ads +
BigQuery
Facebook Ads +
Bing Ads
Facebook Ads +
CSV
Facebook Ads +
Delighted
Facebook Ads +
Elasticsearch
Facebook Ads +
Facebook Pages
Facebook Ads +
Facebook Posts
Facebook Ads +
Google Ads
Facebook Ads +
Google Analytics
Facebook Ads +
Google Cloud Storage
Facebook Ads +
Google Drive
Facebook Ads +
Google Search Console
Facebook Ads +
Google Sheets
Facebook Ads +
HubSpot
Facebook Ads +
Instagram for Business
Facebook Ads +
Intercom
Facebook Ads +
Jira
Facebook Ads +
JSON
Facebook Ads +
Klaviyo
Facebook Ads +
LinkedIn Ads
Facebook Ads +
MailChimp
Facebook Ads +
Microsoft Excel
Facebook Ads +
Microsoft OneDrive
Facebook Ads +
Microsoft SQL Server
Facebook Ads +
MongoDB
Facebook Ads +
MySQL
Facebook Ads +
NetSuite
Facebook Ads +
Pardot
Facebook Ads +
PostgreSQL
Facebook Ads +
Quickbooks
Facebook Ads +
Redshift
Facebook Ads +
Salesforce
Facebook Ads +
SFTP
Facebook Ads +
Shopify
Facebook Ads +
Square
Facebook Ads +
Stripe
Facebook Ads +
Twilio
Facebook Ads +
Twitter Ads
Facebook Ads +
Twitter
Facebook Ads +
Upload Data
Facebook Ads +
WooCommerce
Facebook Ads +
Wordpress
Facebook Ads +
Xero
Facebook Ads +
Zendesk

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

Our connectors

Other connectors with Python

Python +
Salesforce
Python +
HubSpot
Python +
PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Shopify
Python +
Zendesk
Python +
Google Sheets
Python +
JSON
Python +
Microsoft Excel
Python +
Twitter
Python +
BigQuery
Python +
CSV
Python +
Google Search Console
Python +
Instagram for Business
Python +
LinkedIn Ads
Python +
Stripe
Python +
Xero
Python +
BigCommerce
Python +
Twitter Ads
Python +
WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
Python +
Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
Google Drive
Python +
Jira
Python +
Klaviyo
Python +
Microsoft OneDrive
Python +
NetSuite
Python +
Quickbooks
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Ads
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Amazon Seller
Python +
Apple App Store
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
CaptivateIQ
Python +
Chargebee
Python +
Clari
Python +
Close
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
EasyPayDirect
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitHub
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Analytics Ecommerce
Python +
Google Cloud SQL MySQL
Python +
Grin
Python +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Invoiced
Python +
Iterable
Python +
Kandji
Python +
LeafLink
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Maverick Payments
Python +
Maxio
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Rakuten
Python +
Recharge
Python +
Recurly
Python +
Reddit
Python +
Referral SaasQuatch
Python +
RingCentral
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SentinelOne
Python +
Shippo
Python +
Sparkpost
Python +
SphereWMS
Python +
Spree Commerce
Python +
Taboola
Python +
Teachable
Python +
TikTok
Python +
Tray.io
Python +
Trello
Python +
Typeform
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zoom
Python +
Zuora

Try It Now

Start syncing your data to now. Free 21-Day Proof of Value.

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Frequently Asked Questions

How do I connect to my data?
To analyze your data in , you’ll first create a connection to Panoply. Panoply stores a replica of your data and syncs it so it’s always up-to-date and ready for analysis. You can connect to your data in Panoply via an ODBC connection.
What data can I integrate with ?
Panoply allows you to integrate with multiple data sources 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 our data connectors, 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.