Explore marketing data workflows

" Track a consistent set of keywords, locations, and devices over time. "

" Collect ranked URLs, titles, snippets, and supported rich result types in a structured response. "

" Compare the results your audience sees in different markets and on desktop or mobile. "

" Use live requests for immediate checks or queued tasks for scheduled collection. Availability depends on the endpoint. "

" Traditional search Illustrative workflow: Track a consistent set of keywords, locations, and devices over time. "

" Start with a consistent set of targets and markets. Use SERP API to collect the fields your research needs, then keep the source and collection time alongside the results. "

" Compare the same targets over time. A clear location, language, device, and date range make changes easier to investigate when those dimensions apply to the selected dataset. "

" Combine SERP API with complementary DataSEO datasets. Search results, keywords, links, site checks, and AI citations each describe a different part of a market. "

" We evaluated Illustrative workflow: Track a consistent set of keywords, locations, and devices over time. of data. "

" The examples on this page use illustrative records. They show how structured data can support an application, research task, or report. "

" We use DataSEO for essentially all parts of our research—gathering sources, documenting, creating notes, and building briefs. "

" No. Engines and result types have their own coverage and request options. Select the endpoint that matches your workflow. "

" Choose the delivery model around your workload: targeted API requests for operational tasks, or a scoped bulk dataset for analysis in your own environment. "

" Keep the original source context available. A useful signal becomes easier to interpret when you can inspect the page, result, profile, or response it describes. "