This folder contains task-oriented examples for using Outscraper through MCP.
The structure is inspired by how teams like Firecrawl present usage: practical workflows first, API details second.
Use these examples when you want to:
- copy a prompt directly into an MCP client
- understand which tool to use for a business task
- see when to use sync versus async execution
- combine discovery, enrichment, and polling into one workflow
Included examples:
- 01-business-discovery.md
- 02-review-monitoring.md
- 03-company-enrichment.md
- 04-contact-discovery.md
- 05-ai-scraper-company-profile.md
- 06-async-research-workflow.md
- 07-competitor-landscape.md
- 08-market-entry-scouting.md
Agent skill examples:
Each example includes:
- a real business use case
- a natural-language prompt for an MCP-capable assistant
- the recommended Outscraper tool or tool sequence
- sample arguments you can adapt
Use:
google_maps_searchfor ad hoc place discoverybusinesses_searchfor structured business filtering
Use:
company_insightsfor firmographicsemails_and_contactsfor contact discoveryai_scraperfor one-page structured extraction
Use:
google_maps_reviewsgoogle_maps_photosbooking_reviewstripadvisor_reviewsyelp_reviews
Use:
execution_mode: "async"when a task may be long-runningrequests_getto poll byrequest_idrequests_listandrequests_deletefor async job management