What is SERP Data? Definition, Providers and Datasets to Buy
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
What is SERP Data?
SERP data is information displayed on a search engine results page (SERP) in response to a user’s query. It includes various elements such as organic search results, paid advertisements, featured snippets, knowledge panels, and other rich results. SERP data provides valuable insights into search engine rankings, user intent, and the overall performance of websites in search engine results.
SERP data refers to the information extracted from search engine result pages (SERPs).
Examples of SERP Data
Examples of SERP data include:
- Google SERP Data – Organic and paid search results on Google.
- Bing Search Data – Keyword rankings and trends on Bing.
- SEO Data – Keyword performance metrics from search engines.
- Keyword Rank Tracking – Monitoring keyword positions over time.
- SERP Feature Data – Analysis of rich snippets, local packs, and PAA boxes.
- Ad Positioning Data – Tracking ad placements and costs per click (CPC).
- Domain Authority Data – Measuring the credibility of websites in search rankings.
- Search Intent Analysis – Understanding the intent behind user queries.
Best SERP Databases & Datasets
Here is our curated selection of top SERP Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
SERP Data, Google SERP Data, SERP API, SERP Google API, SERP Web Scraping, Scrape All Search Engine Data - Google | Bing| Yahoo | Baidu
SerpWow API | Full Coverage SERP Data
DataForSEO Google SERP Databases regular, advanced, historical
Scale SERP API | Google Search Results Data
DataForSEO Google Full (Keywords+SERP) database, historical data available
Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment
Global End of Day/Closing Price Data for Derivatives | Futures Price Data, Options Price Data | History/Time Series | Derivatives Data
Dappier | Global Web Search Data | RAG API, LLM Compatible | Real-Time Updates | Unlimited Data
Noise-Level Time-Series Dataset — Over 10M Hours of Temporal Acoustic Data for AI Forecasting
VALUE SERP API | Google Search Results Data
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Top SERP Data Providers & Companies
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Traject Data
CoverageUSAUK+247A leading data provider with 10 APIs across search and eCommerce sites, Traject Data provides reliable, robust, real-time data that integrates with your existing data ecosystem so you can customize your data analysis and leverage data at scale for faster insights. -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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DataForSEO
CoverageUSAUK+247API for SEO software companies and agencies. We provide comprehensive SEO and digital marketing data solutions via API at a predictable price. You’ll find everything you need for your search analytics.99.95%uptime24/7live chat support100%data accuracy -
Datos, A Semrush Company
CoverageUSAUK+230Datos is a global leader in providing multi-source anonymized clickstream data. With access to desktop and mobile browsing behavior from millions of users worldwide, Datos offers clean, easy-to-integrate data products.20M+MAUAnonymizedData170+Countries
Main Attributes of SERP Data
Key attributes in SERP data include:
- Keyword Position – The ranking of a keyword in search results.
- Search Volume – The number of times a keyword is searched monthly.
- Click-Through Rate (CTR) – The percentage of users clicking on a search result.
- Domain Authority (DA) – A score indicating a website’s credibility.
- Ad Placement & CPC – Cost-per-click and positioning of paid ads.
- Rich Snippet Presence – Whether a page appears in featured snippets.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The last name (surname) of a contact. | View 4 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 3 datasets | |
| String | The website of an organization or contact. | View 3 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 2 datasets | |
| String | The phone number of a contact or organization. | View 2 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 1 datasets |
Why Is SERP Data Important?
SERP (Search Engine Results Page) data is essential for understanding how search engines rank content and display results. By analyzing SERP data, businesses can refine their SEO strategies, improve organic search rankings, and optimize their paid search campaigns. Access to real-time SERP insights enables marketers to track keyword performance, identify ranking opportunities, and adjust content strategies to stay ahead of competitors.
Additionally, SERP data provides valuable insights into user intent by analyzing search features like featured snippets, people-also-ask (PAA) sections, and local pack results. Businesses can use this information to optimize their content for visibility across different SERP elements, increasing their chances of attracting organic traffic.
How Is SERP Data Collected?
SERP data is gathered using various methods, including:
- SERP Scraping – Extracting search engine results manually or through automated tools to track rankings and search features.
- SEO Tools – Platforms like Ahrefs, SEMrush, and Moz analyze SERP data to provide keyword insights, ranking history, and competitor analysis.
- Google Search Console – Offers direct insights into a website’s organic search performance, including impressions, clicks, and ranking positions.
- Google Ads Data – Tracks paid search performance, including ad placements, cost-per-click (CPC), and conversion metrics.
- API Access – Search engines like Google and Bing offer API access for retrieving SERP-related data at scale.
What Is the Purpose of SERP?
The primary purpose of SERP is to display relevant search results based on a user’s query. SERPs include both organic listings and paid advertisements, along with various search features such as rich snippets, local packs, and video results. Understanding SERP elements helps businesses optimize their content to improve search visibility and user engagement.
SERP vs. SEO: What’s the Difference?
SERP refers to the actual search engine results page displayed after a user submits a query, while SEO (Search Engine Optimization) is the process of optimizing content to rank higher on SERPs. SEO focuses on improving website structure, content relevance, and backlink quality to enhance organic visibility on SERPs.
What Is SERP Analysis in SEO?
SERP analysis involves examining search results for specific keywords to assess ranking difficulty, identify competitors, and uncover content opportunities. By analyzing SERP trends, businesses can determine which keywords are most valuable and adjust their SEO strategies accordingly.
What Is the Difference Between SEO and SEM?
SEO (Search Engine Optimization) focuses on improving organic search rankings, while SEM (Search Engine Marketing) includes both organic and paid strategies, such as PPC (pay-per-click) advertising. While SEO aims for long-term visibility, SEM provides immediate results through paid search ads.
Frequently Asked Questions
How is the Quality of SERP Data Maintained?
The quality of SERP Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is SERP Data Updated?
The update frequency for SERP Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is SERP Data Secure?
The security of SERP Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is SERP Data Delivered?
SERP Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for SERP Data.
How Much Does SERP Data Cost?
The cost of SERP Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of SERP Data for your needs.
