Data Collection

Learn how to extract business names, ratings, review counts, categories, addresses, phone numbers, websites, and place IDs from Google Maps-style search results with Python and TalorData SERP API.

Learn which Google Maps place data fields matter most for local SEO, including Place ID, NAP, categories, coordinates, ratings, reviews, hours, website, rank, and search context.

Learn how to parse organic search results from a SERP API, including titles, URLs, snippets, positions, domains, query context, URL normalization, and ranking changes.

Learn what data to collect from AI search results, including AI answers, citations, brand mentions, competitor mentions, source URLs, follow-up questions, and SERP comparisons.

Learn how to track brand mentions in Google AI Overview results with a SERP API. Monitor AI-generated summaries, cited domains, competitor mentions, query intent, and AI search visibility over time.

Learn how to build a price monitoring system with Shopping SERP data. Use Python to collect product titles, prices, sellers, ratings, shipping signals, and export price snapshots to CSV.

Learn how to extract Google Images search results with a SERP API. Use Python to collect image titles, thumbnails, image URLs, source pages, domains, positions, and export the data to CSV.

Learn how to build a keyword research tool with autocomplete suggestions and People Also Ask data. Use Python to collect keyword ideas, questions, intent signals, and export results to CSV.

Learn how to collect Google Jobs listings from search results with a SERP API. Use Python to extract job titles, companies, locations, descriptions, dates, salary signals, apply links, and export the data to CSV.