Seamlessly Sync Your Twitter Ads Data to Python

Integrating Twitter Ads and Python 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 Twitter 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 Twitter 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 Twitter Ads in minutes

Managing, optimizing, and reporting on Twitter advertising is easier than ever with Panoply. Twitter Ads, the on-site advertising service on the Twitter platform, provides a wealth of data for analysts and marketers. Panoply stores this data directly onto the Panoply Smart Data Warehouse, where it can be analyzed and combined with all other advertising or data sources. Panoply’s end to end data management platform then makes it possible for companies to extract, query, report, and monitor Twitter ad data. This helps you analyze how advertisements are performing, develop more effective campaigns, and identify new social media marketing opportunities all instantly from within the Panoply platform.

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

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Other integrations with Twitter Ads

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

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.

See all Integrations

Other integrations with Python

Python +
Salesforce
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HubSpot
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PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Zendesk
Python +
Shopify
Python +
Microsoft Azure SQL Data Warehouse
Python +
Microsoft Excel
Python +
Stitch
Python +
Twitter
Python +
Fivetran
Python +
JSON
Python +
Google Sheets
Python +
BigQuery
Python +
LinkedIn Ads
Python +
Google Cloud Datastore
Python +
Instagram for Business
Python +
CSV
Python +
Singer
Python +
Google Search Console
Python +
Stripe
Python +
Segment
Python +
Twitter Ads
Python +
Woocommerce
Python +
Asana
Python +
Intercom
Python +
Delighted
Python +
Facebook Posts
Python +
Facebook Pages
Python +
MailChimp
Python +
Twilio
Python +
Elasticsearch
Python +
Upload Data
Python +
Microsoft SQL Server
Python +
Bing Ads
Python +
Wordpress
Python +
Pardot
Python +
Google Cloud Storage
Python +
Redshift
Python +
AppsFlyer
Python +
Amazon DynamoDB
Python +
Google Analytics Ecommerce
Python +
GitHub
Python +
Attunity
Python +
Flydata
Python +
Informatica PowerCenter
Python +
Jaspersoft
Python +
Matillion
Python +
Rivery
Python +
Skyvia
Python +
Slamdata
Python +
SnapLogic
Python +
Striim
Python +
Sybase
Python +
Talend
Python +
Tray.io
Python +
Xplenty
Python +
etleap
Python +
Snowplow
Python +
Google Drive
Python +
Magento
Python +
Zapier
Python +
Alooma
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Codat
Python +
Contact Pigeon
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Contentful
Python +
Crashlytics
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Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Cloud SQL MySQL
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
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IBM DB2
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Iterable
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Klaviyo
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Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
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NetSuite
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optimizely
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Oracle Database
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Particle
Python +
Pinterest
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Pipedrive
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Pivotal Tracker
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QuickBase
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Quickbooks
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Recharge
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Recurly
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Referral SaasQuatch
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Sailthru
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Salesforce IQ
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Salesforce Marketing Cloud
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Selligent
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SendGrid
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Sendwithus
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SFTP
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Shippo
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Sparkpost
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Spree Commerce
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Square
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Taboola
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Trello
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Urban Airship
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Vero
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Webhooks
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Xero
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Zendesk Chat
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Zendesk Sell
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Zoho CRM
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Alteryx
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Amazon QuickSight
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Apache Superset
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Chartio
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Databricks
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Google Data Studio
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KNIME
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Looker
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Metabase
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MicroStrategy
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Mode Analytics
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Pentaho
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PopSQL
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Power BI
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R
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Redash
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SeekWell
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Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Trevor.io
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Trifacta
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Yellowfin
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Zoho Analytics

Try It Now

Start syncing your Twitter Ads 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 Twitter Ads data?
To start analyzing your Twitter Ads data in Python, you’ll first create a connection to Panoply. Panoply stores a replica of your Twitter Ads data and syncs it so it’s always up-to-date and ready for analysis. You can connect Python to your Twitter Ads data in Panoply via an ODBC connection.
What data can I integrate with Python?
Panoply allows you to integrate Python with over 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 60+ data integrations, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.