Every day developers use fetchSERP to build products that need fresh SEO & web-intelligence data. Here are some battle-tested patterns to spark ideas.

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1. SEO Chatbots

Give your conversational app real-time access to SERP data, keyword metrics, backlink info, and more. Endpoints used: serp, ranking, keywords_search_volume, backlinks

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2. Competitive Rank-Tracking Dashboard

Monitor how you and your competitors rank for thousands of keywords across multiple search engines.
  • Schedule a daily cron job
  • Fetch ranking endpoint for each (keyword, domain)
  • Store history in a timeseries DB (e.g. ClickHouse)
  • Visualize trends with Grafana or a custom React app

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3. Content Gap Analyzer

  1. Call serp_html for the top 20 results of a target keyword.
  2. Extract headings & semantic structure with a parser (e.g. Cheerio).
  3. Feed the content into an LLM to summarise missing angles.
  4. Output recommendations in a Notion doc.
  • Use backlinks to pull fresh link lists for a competitor.
  • Filter by nofollow = false and DA > 40 (use /moz).
  • Send personalised outreach emails via a CRM API.

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5. AI-Powered Site Auditor

Combine web_page_seo_analysis + web_page_ai_analysis to create a one-click technical + content audit.
Return a prioritised checklist to the user inside your SaaS.

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Next steps

Check the Official SDKs to start building, or dive into the API reference for parameter details.