searchsolved/search-solved-public-seo

Description and use

**Brief Summary**
searchsolved/search‑solved‑public‑seo is a collection of Python scripts and small applications created by Lee Foot that automate repetitive SEO‑related tasks. By stitching together common SEO tools into repeatable, schedulable flows, it eliminates manual data‑pulling, reporting, and site‑audit steps. The project is actively maintained (last commit 2026‑07‑12), has a healthy fork count, and is ready for a pilot in a production environment.

**Value**
The toolkit turns time‑consuming, error‑prone SEO operations—such as keyword extraction, rank tracking, and site‑health checks—into automated pipelines. This frees analysts to focus on strategy rather than data gathering, reduces human error, and enables consistent, auditable results across campaigns.

**Practical Adoption Path**

1. **Proof‑of‑Concept** – Clone the repo, run the provided README examples, and validate that the scripts work against your own SEO data sources (e.g., Google Search Console, Ahrefs, Screaming Frog).
2. **Integration** – Wrap the needed scripts in your existing CI/CD or orchestration platform (Airflow, Prefect, or simple cron jobs) and connect them to internal data stores or dashboards.
3. **Scaling** – Parameterize the workflows, add logging/monitoring, and gradually replace manual steps across the SEO team, expanding to other marketing tools as needed.

**Production Readiness**
The project scores high on readiness: recent activity, a solid fork community, and clear Python implementation indicate a mature codebase. While the license and security posture still require a final check, there are no glaring metadata or stability issues, making it a viable candidate for a serious pilot or even full‑scale deployment after the initial PoC validation.

Use in a workflow

searchsolved/search-solved-public-seo helps remove repetitive manual operations from a workflow.

• remove manual work
• connect tools into repeatable flows
• schedule operational tasks

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.