SerpApi is a real-time SERP data API that scrapes Google and dozens of other engines for you—handling proxies, CAPTCHAs, and parsing—then returns clean JSON with rich entities. Pull organic results, Ads, Images, News, Scholar, Shopping, and Knowledge Graph, plus Maps & Local data with ratings, hours, and more. Tune queries by location, language, device, and date, stream or batch, and use SDKs and archives to ship search features fast without running your own scraping stack.
Get production-ready JSON for Google plus other major engines (Bing, Baidu, Yahoo, Yandex, YouTube, eBay, Walmart, Home Depot, and more). Each request runs in a full browser and returns what users actually see, including organic links, ads, featured snippets, images, videos, and rich entities. Use this as a drop-in data layer for SEO tools, monitoring, or AI/RAG pipelines without brittle HTML parsing or regex maintenance.
Localize searches precisely with parameters for country, city, coordinates, language, and device. Emulate mobile or desktop contexts and paginate to traverse result sets. This lets you monitor local rankings, price or availability by market, and regional news with confidence that your inputs mirror real user conditions—crucial for multi-market SEO, competitive tracking, and compliance where geography materially changes the SERP layout.
Scrape Places data in real time—names, ratings, reviews, addresses, hours, phone numbers, photos, and website links—directly from Google Maps. Pair this with Search or Shopping endpoints to connect intent to local inventory and foot-traffic insights. Teams build store locators, lead lists, and territory analyses without patchwork scrapers, while archives provide reproducibility for audits and model training datasets.
Offload infrastructure: SerpApi manages global IPs, full browser clusters, and CAPTCHA solving so you don’t. Requests mimic human behavior to avoid blocks and keep uptime high, reducing toil and legal risk from ad-hoc scraping fleets. Engineers stop chasing breakages from DOM changes and focus on product logic, while finance likes the clear month-to-month pricing and predictable cost per successful search.
Start fast with official SDKs (Python, Ruby, etc.), a searchable results archive, and a high-speed Google “light” endpoint when you only need core fields. Webhooks and simple REST patterns fit modern data pipelines. Together, these options let you optimize for speed, cost, or depth per use case—dashboards, alerts, analytics, or AI enrichment—without rewriting your integration when needs evolve.
Data teams, SEO platforms, marketplaces, and AI products that need accurate, localized SERP or Maps data without running scrapers. Ideal for keyword tracking, brand & price monitoring, local lead gen, competitive research, news aggregation, voice assistants, and RAG evaluation pipelines. Great for startups through enterprises that want clean JSON, fast iteration, and predictable costs instead of home-grown scraping fleets.
Replaces brittle DIY crawlers and proxy farms with a stable SERP data layer. It solves accuracy, scaling, and maintenance pain—especially CAPTCHAs, IP rotation, layout changes, and localization—by returning structured JSON straight from full-browser fetches. Teams gain reliable inputs for SEO tools and AI models, reduce ops fire-drills, and ship features faster with consistent endpoints, archives, and SDKs instead of fragile HTML parsing.
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