Give the assistant a page URL or search question and define the information you want to extract or compare.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Read a page and extract fields relevant to your question.
/oo HasData: Use HasData to scrape [public page URL] with JavaScript rendering if needed. Extract [desired fields] and summarize them with source links; identify fields absent from the page.
Run a Google search for a specified location and language and organize the results.
/oo HasData: Search Google through HasData for “[query]” in [location], using [language] and [device type]. Summarize the available result types and list relevant source links.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect a HasData API key.
Connect HasData →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
HasData offers synchronous web scraping and Google search-result retrieval with page rendering, extraction, and regional search options.
Scrape a public page with optional rendering, extraction rules, links, or screenshots.
Retrieve search results using query, location, language, and device preferences.
Scrape one public web page through HasData's synchronous Web Scraping API and return the official JSON payload.
Leina 
Wanta 
hasdata.scrape_web Run one synchronous Google SERP search through HasData and return the official JSON payload.
hasdata.search_google_serp No matching tools.
Yes. Enable rendering and, when necessary, specify a page element to wait for before extraction.
Yes. Provide the fields and use extraction rules or AI extraction instructions appropriate to the page.
Yes. Specify the location, country, language, and device needed for the search comparison. Results describe that requested context.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.