Seamlessly Sync Your Facebook Pages Data to Python

Integrating Python and Facebook Pages 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 Pages 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 Pages 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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Zoho Analytics

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

See all Integrations

Other integrations with Facebook Pages

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

Try It Now

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

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Frequently Asked Questions

How do I connect Python to my Facebook Pages data?
To analyze your Facebook Pages data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Facebook Pages data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Facebook Pages 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.