AI agents and MCP
The strongest-performing cluster right now. Start from the MCP server docs.- How to give Claude web data access at scale with Zenrows MCP
- Setting up Zenrows MCP in Cursor, VS Code, or Windsurf
- What “agent-ready” web data actually requires
- Building a vertical AI agent with LangChain and Zenrows
Integrations and workflows
Connecting Zenrows to a tool the reader already uses. See the integrations section for the shapes these take.- Adding live web data to an n8n or Zapier workflow
- Enriching CRM records with public web data
- Feeding a RAG pipeline from live pages instead of a stale index
- Streaming collected data into a warehouse or spreadsheet
Command line and automation
Underserved and quick to produce. Start from the CLI docs.- Scraping a list of URLs from your terminal with the Zenrows CLI
- Scheduling a recurring data pull with the CLI and cron
- Piping Zenrows output straight into
jq, a CSV, or a database - Using the CLI inside a CI job
Site-specific guides
“How to scrape X” pieces. Pick one site, cover its specific defenses and page structure, and ship something that works.- How to scrape Google Shopping
- How to scrape Etsy
- How to scrape Indeed
- How to scrape Idealista
Working use cases
Business problems rather than techniques. Lower competition and reaches readers with purchasing authority.- Build an Amazon price tracker
- Automated competitor price tracking
- Real estate data aggregation at scale
- Company data enrichment from public web sources
These are starting angles, not assigned titles. Adapt the wording to your own audience and keyword research.