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googleads/google-ads-python
Google Ads API Client Library for Python
Official Google-maintained Python client library for the Google Ads API, wrapping gRPC/protobuf communication and handling OAuth2, credentials, and interceptors. Targets Python developers building ad management tools, reporting pipelines, or automation on top of Google Ads accounts.
- Actively maintained by Google with frequent version bumps tracking API versions (currently v21), so you're not chasing a stale wrapper when Google ships breaking changes.
- Extensive example coverage across every major API surface area—batch jobs, remarketing, Performance Max, experiments, billing—reduces the time from zero to working code significantly.
- gRPC interceptor architecture is clean and extensible; the custom logging interceptor example shows you can swap in Cloud Logging or any other sink without touching library internals.
- Async support is present with dedicated asyncio examples for search and streaming, which matters for high-throughput reporting jobs.
- The generated protobuf types make for extremely verbose code—constructing even a simple campaign mutate requires chaining through several nested message objects, and type errors show up at runtime, not statically.
- No first-party rate limit handling or retry logic beyond the basic `handle_rate_exceeded_error` example, so you're on your own implementing exponential backoff for production workloads.
- YAML-based credential config (`google-ads.yaml`) is the primary documented approach, which is awkward in containerized environments where injecting secrets via env vars or secret managers is standard practice.
- The library is essentially a thin codegen wrapper with no higher-level abstractions—there's no query builder, no ORM-style interface, nothing to shield you from GAQL string construction or the 1000-row pagination loop you'll have to write yourself.