Data Collection

Rankings, URLs, snippets, competitors, local results, and SERP features can differ across Google, Bing, and Yandex.

JSON turns search results into structured fields such as position, title, URL, snippet, domain, location, device, and timestamp. Once the data is structured, teams can store it, compare it, and connect it to dashboards, reports, or AI systems.

Learn how to collect Bing Shopping product data, including prices, sellers, ratings, ads, links, and product visibility with a SERP API workflow.

Learn how to monitor sellers and prices across Google Shopping using structured SERP data. Track product visibility, price changes, ratings, reviews, and market trends.

Learn how to use a Google Videos API to collect structured video search data, track rankings, monitor competitors, identify content gaps, and support SEO and AI workflows.

This guide explains how structured SERP data helps teams monitor organic search results more efficiently. It covers what organic result data to track, including rankings, URLs, titles, snippets, domains, locations, devices, and timestamps, and shows how teams can use this data for SEO reporting, competitor analysis, search intent monitoring, and long-term visibility tracking.

This guide explains what data a Yandex SERP API can collect and how teams can use it in real workflows.

Learn how to use a SERP API to scrape Google Maps data in 2026 for local SEO, lead generation, review monitoring, and competitor research across locations.

This guide explains how residential proxies fit modern AI pipelines, what to compare before switching, and why workflow fit matters more than raw proxy scale.