How to load data from Bing Ads to Postgres destination
Learn how to use Airbyte to synchronize your Bing Ads data into Postgres destination within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Access Bing Ads API
Begin by registering for access to the Bing Ads API. You will need to create an account on the Microsoft Advertising Developer Portal. Once registered, obtain your API credentials, including the Developer Token, Client ID, and Client Secret. These credentials will allow you to authenticate and interact with Bing Ads data programmatically.
Step 2: Set Up Authentication
Use OAuth 2.0 to authenticate your application with the Bing Ads API. Implement the OAuth 2.0 flow to obtain an access token. This involves directing users to a Microsoft sign-in page where they can grant your application permission to access their Bing Ads data. Upon successful authentication, you'll receive an access token to include in your API requests.
Step 3: Retrieve Data from Bing Ads
With authentication in place, construct and send API requests to retrieve the required data from Bing Ads. Use the appropriate Bing Ads API service (e.g., Reporting API) to fetch the data you need, such as campaign performance, ad group metrics, or keyword statistics. Parse the response to extract the data in a structured format like JSON or CSV.
Step 4: Prepare PostgreSQL Environment
Set up a PostgreSQL database where the Bing Ads data will be stored. Ensure your PostgreSQL server is running and create a new database if necessary. Define the schema for your tables to match the structure of the data you will import. For example, create tables with columns corresponding to the fields in your Bing Ads data, such as campaign ID, impressions, clicks, etc.
Step 5: Data Transformation and Cleaning
Before inserting the data into PostgreSQL, perform any necessary transformations and cleaning. This may include converting data types to match PostgreSQL constraints, handling missing values, and ensuring consistency across datasets. Use Python scripts or SQL queries to process the data into a format that aligns with your PostgreSQL table schema.
Step 6: Insert Data into PostgreSQL
Connect to your PostgreSQL database using a client library like psycopg2 in Python. Use SQL INSERT statements or the COPY command to load the cleaned and transformed data into the appropriate tables. Ensure that the data is inserted correctly, handling any potential errors or conflicts, such as duplicate entries or constraint violations.
Step 7: Automate the Data Transfer Process
To streamline the process of moving data from Bing Ads to PostgreSQL, automate the steps using a script or cron job. Write a script that encapsulates the entire workflow, from authentication and data retrieval to transformation and database insertion. Schedule this script to run at regular intervals, ensuring your PostgreSQL database remains up-to-date with the latest Bing Ads data.