Research web results
Retrieve parsed Google Search results for a query.
/oo Scrapingdog: Search Google through Scrapingdog for query [query], then compare returned titles and URLs.
Ask your AI assistant to work with Scrapingdog: research search results and read webpage html.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Retrieve parsed Google Search results for a query.
/oo Scrapingdog: Search Google through Scrapingdog for query [query], then compare returned titles and URLs.
Fetch HTML for an identified webpage.
/oo Scrapingdog: Fetch HTML for URL [URL] with Scrapingdog and summarize returned page content.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect using your Scrapingdog API Key.
Connect Scrapingdog →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Scrapingdog exposes Google Search, Maps, Scholar, and single-URL HTML retrieval to your AI assistant.
Retrieve parsed Google Search results for a query.
Fetch HTML for an identified webpage.
Fetch the HTML response for one target URL through the Scrapingdog Web Scraping API.
scrapingdog.fetch_html Run a Google Search request through Scrapingdog and return parsed results.
scrapingdog.google_search Run a Google Maps Search request through Scrapingdog.
scrapingdog.google_maps_search Retrieve details for one Google Maps place through Scrapingdog.
scrapingdog.google_maps_place Run a Google Scholar search request through Scrapingdog.
scrapingdog.google_scholar_search Retrieve Scrapingdog account usage and credit information for the API key.
scrapingdog.get_account_usage No matching tools.
google_scholar_search exposes Google Scholar search for a query.
get_account_usage retrieves usage and credit information.
Search returns parsed results; retrieve a selected URL with fetch_html to inspect its body.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.