Can I vibe code Ubersuggest?
Budget-friendly keyword ideas, volume, and SEO suggestions.
Ubersuggest is the affordable member of this family, but affordable does not mean buildable — it still answers questions that require a keyword and backlink dataset it licenses and crawls. There is one honest exception worth naming: keyword ideas themselves can be scraped for free from Google Autocomplete and related searches, and that part you genuinely can build. Everything with a number next to it — search volume, difficulty, traffic, backlinks — comes from data you cannot generate. So a keyword-idea toy is a yes; Ubersuggest proper is a no.
Build the genuinely free slice of Ubersuggest: a keyword-idea expander. Given a seed keyword, query Google Autocomplete and the related-searches endpoint, iterate over alphabet and question-word prefixes (how, why, best, vs), and assemble a deduplicated long-tail list grouped by prefix. Let me export the list as CSV and save seed searches for later. Use Next.js App Router with a hosted Postgres for saved lists, deployable to Vercel, and cache results to stay under rate limits. Be explicit in the README that search volume, difficulty, and backlink metrics require a paid data source and are intentionally not included — this expands ideas, it does not score them.
A keyword-idea generator that scrapes Google Autocomplete and related searches to expand a seed term into a long-tail list — without volume or difficulty numbers.
- Search volume and keyword difficulty scores
- Traffic estimates and backlink data
- Domain overview and competitor keyword reports
- Content and rank-tracking dashboards
- Reliable data as autocomplete scraping gets rate-limited
Even the cheap tier buys access to volume, difficulty, and backlink numbers that only exist because someone runs the crawl and licenses the clickstream. The idea list is free to reproduce; the metrics that make the ideas actionable are the moat, and that is what the fee covers.
A prompt is the first move, not the whole game. Course 01 teaches you to take a prompt like this one to a shipped, working app — reviewing, correcting, and steering the agent the whole way.
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