The Meta Graph API offers a programmatic gateway to a wealth of data and functionality within the Meta ecosystem. A standout feature is the Ads Library (formerly known as ads_archive), providing unprecedented transparency into advertising across Facebook, Instagram, and other platforms. For developers looking to harness this data, a robust and efficient API is crucial. This blog post explores how to build such an API using FastAPI, a modern, high-performance Python web framework. We'll delve into practical code examples, covering everything from setting up the API to handling authentication, querying the Ads Library, and managing potential errors. Why FastAPI for Meta Ads Library Integration? FastAPI is an excellent choice for building an API to access the Meta Ads Library due to its numerous advantages: Speed and Performance: Built on top of Starlette and Pydantic, FastAPI offers impressive performance, crucial for handling large volumes of ad data. Automatic Data Validation: P...
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Covering React frameworks like Next.js and Gatsby.js through brief articles with code snippets. Making learning easy for readers and myself.