Analyze your Facebook Pages data in Python

Getting your data from Facebook Pages 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 Pages 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 Pages without complicated code.

Insights Metadata

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

See the Facebook Pages data Panoply collects

Connect to Python and start analyzing in minutes.

Insights Metadata

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 Pages 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 Pages in minutes

Panoply comes with several Facebook integrations, including Facebook page data. Facebook’s business page analytics provides thorough data ripe for analysis, including active users, cohorts, funnels, and more. That data can be instantly integrated into your Panoply data warehouse, where your logged event and page data can be combined and analyzed with all of your data sources.

With Panoply, Facebook Pages data instantly becomes a usable part of your existing datasets, without requiring any ETL or ELT process or any custom scripts. From within the Panoply platform, you can start to query and analyze that data right away, and leverage your business page to better support your company’s marketing and sales efforts.

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

Our connectors

Other connectors with Facebook Pages

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

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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.