Analyze your LinkedIn Ads data in Python

Getting your data from LinkedIn 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 LinkedIn 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.

Try Panoply Free

How it works

Connect to LinkedIn Ads without complicated code.

Company check Share Creative Conversion Member Company Size Account Campaigns Campaign Group Serving Location Member Industry

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

See the LinkedIn Ads data Panoply collects

Connect to Python and start analyzing in minutes.

Company check Share Creative Conversion Member Company Size Account Campaigns Campaign Group Serving Location Member Industry

Get started

for free

14 day free trial

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.
Try Panoply Free
Code-free data pipeline
Easily connect LinkedIn 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 LinkedIn Ads in minutes

No matter your campaign goals, LinkedIn ads lets you set your own budget and create effective advertising that targets over 630 million active professionals to reach your ideal customer. Panoply makes it easy to load LinkedIn advertising data into your own cloud-based data warehouse using a simplified E-L-T approach that gives data analysts more flexibility and control.
Advertisers can collect ad performance and display targeting data directly from the LinkedIn Ads API without having to write a single line of code. Storing the data in Panoply also makes it easy to combine Linkedin Ads data with other advertising data sources for multi-channel analysis. Connect Panoply to any BI tool with an ODBC connection to visualize and analyze all your Linkedin Ads data. Setup takes minutes so you can spend more time optimizing and less time maintaining brittle data pipelines.

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

See all integrations

Other integrations with LinkedIn Ads

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

See all integrations

Other integrations 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 +
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 +
Tray.io
Python +
Google Drive
Python +
Jira
Python +
NetSuite
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
Chargebee
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
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 +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Iterable
Python +
Klaviyo
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Quickbooks
Python +
Recharge
Python +
Recurly
Python +
Referral SaasQuatch
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
Shippo
Python +
Sparkpost
Python +
Spree Commerce
Python +
Taboola
Python +
Trello
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Xero
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zuora
Python +
Amazon QuickSight
Python +
Apache Superset
Python +
Apache Zeppelin
Python +
Birst
Python +
CARTO
Python +
Chartio
Python +
Count
Python +
Cumul.io
Python +
Databricks
Python +
Domo
Python +
GoodData
Python +
Google Data Studio
Python +
Grafana
Python +
Holistics
Python +
IBM Cognos
Python +
Julia
Python +
Jupyter
Python +
Klipfolio
Python +
KNIME
Python +
Looker
Python +
Metabase
Python +
MicroStrategy
Python +
Mode Analytics
Python +
Pandas
Python +
Panintelligence
Python +
Pentaho
Python +
Plotly
Python +
PopSQL
Python +
Power BI
Python +
Qlik
Python +
R
Python +
Redash
Python +
SeekWell
Python +
Shiny
Python +
SQL
Python +
Tableau
Python +
ThoughtSpot
Python +
TIBCO Spotfire X
Python +
Trevor.io
Python +
Yellowfin
Python +
Zoho Analytics

Try It Now

Start syncing your data to 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 to my data?
To start analyzing 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 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.