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Scale SERP API | Google Search Results Data

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Datarade2024-04-19 收录
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https://datarade.ai/data-products/scale-serp-api-google-search-results-data-traject-data
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Effortlessly analyze search performance at scale by fueling your data analytics with powerful SERP data. With the most comprehensive set of Google SERP data points, Scale SERP API makes it easy to track rankings and discover opportunities. Scale SERP executes search requests in real time, according to your parameters: keyword, device, location, and more. The API returns the top results in JSON, HTML and/or CSV format. From there, parse out rankings and data mine the full SERP list. Then automatically send Batch Result Sets to destinations you define: Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage, Alibaba Cloud OSS or any other S3-compatible object storage. What does Scale SERP include? - The top Google SERP listings of each query (real-time searches: 5 pages; batches: 100 pages) - Every data attribute as it appears on the page for a given keyword - SERPs data by device type: desktop, tablet or mobile - Search, Images, News, Videos, Scholar tabs; Autocomplete bar - Full Google Places results: Local and Maps data by any geolocation; can also request photos, reviews, products, & posts - Organic and paid results - Rich results: Knowledge Panel, Local Pack, Top Carousel, Answer Box, Top Products and more - Inline Images, Video, News and Shopping packs, and more - Can schedule Searches to run en masse; up to 15,000 Searches x 10,000 Batches Who uses Scale SERP? Scale SERP is leveraged by marketers, data analysts and data engineers, SEO specialists, advertising agencies, digital marketing teams, enterprises, and SaaS platforms. Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this SERP data. How can Scale SERP be used? - Inform organic SEO and content creation strategy. - Track keyword rankings across millions of keywords. - Identify industry trends and evolving Google SERPs. - Blend with other data sources to identify revenue generating keywords. - Optimize advertising campaigns based on evolving Google algorithms and search intent. - Monitor local performance across geolocations - Track Google eCommerce performance.
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