Automating Google Search Console reporting with Python
Dylan Parker discusses automating SEO reporting using Python to streamline Google Search Console exports. He shares a script that retrieves top search queries directly from the Search Console API, eliminating the need for manual downloads. The automation has proven beneficial for creating dashboards, weekly reports, and tracking query trends over time.
- ▪The article focuses on automating SEO reporting with Python.
- ▪A script is provided that pulls top search queries from the Google Search Console API.
- ▪The automation helps in creating dashboards and tracking query trends.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/dylan_parker123/automating-google-search-console-reporting-with-python-12h9 |
| Publication time | Sat, 30 May 2026 09:00:52 +0000 |
| Retrieval time | 2026-05-30T09:12:09.024Z |
| Last seen | 2026-05-30T09:12:09.024Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | XmAG189HsFKU |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3940172) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Dylan Parker Posted on May 30 Automating Google Search Console reporting with Python #python I’ve been trying to automate more of my SEO reporting workflow lately, especially repetitive Google Search Console exports. Instead of manually downloading query data every week, I put together a small Python script that pulls top search queries directly from the Search Console API.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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