What is SERP Data? Definition, Providers and Datasets to Buy

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Eugenio Caterino
Editor & Data Industry Expert
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.

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

On This Page:

  • 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.

Logo of APISCRAPY

SERP Data, Google SERP Data, SERP API, SERP Google API, SERP Web Scraping, Scrape All Search Engine Data - Google | Bing| Yahoo | Baidu

by APISCRAPY
4.9
USA
United Kingdom
Germany
+58
Free sample preview
API available
Starts at
$25 / month
Logo of Bright Data

Bright Data | SERP API for easy SERP scraping

by Bright Data
4.9
USA
United Kingdom
Germany
+246
API available
Pricing available upon request
Logo of OpenWeb Ninja

Google SERP Data, Web Search Data, Google Images Data | Real-Time API

by OpenWeb Ninja
5.0
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$25$21.25 / month
Logo of Xverum

Xverum SERP Data | Web search data | Global Web Data | Real-time API | Web data extraction | 95% complete and structured Google data

by Xverum
5.0
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$1,000$900 / month
Logo of Traject Data

SerpWow API | Full Coverage SERP Data

by Traject Data
USA
United Kingdom
Germany
+246
Free sample preview
API available
Starts at
$25$23.75 / month
Logo of DataForSEO

DataForSEO Google SERP Databases regular, advanced, historical

by DataForSEO
USA
United Kingdom
Germany
+87
Free sample preview
Pricing available upon request
Logo of Serpstat

Serpstat: Google SERP Scraping API | Real-time | All locations | Postcode Local Level

by Serpstat
4.9
USA
United Kingdom
Germany
+246
Free sample preview
API available
Starts at
$0.75$0.71 / 1000 SERPs
Logo of Bright Data

Bright Data | Proxy Services | IP Proxy Data from 72+ million ethically-sourced IPs

by Bright Data
4.9
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of Traject Data

Scale SERP API | Google Search Results Data

by Traject Data
USA
United Kingdom
Germany
+246
Free sample preview
API available
Starts at
$19$18.05 / month
Logo of DataForSEO

DataForSEO Google Full (Keywords+SERP) database, historical data available

by DataForSEO
USA
United Kingdom
Germany
+87
Pricing available upon request

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Top SERP Data Providers & Companies

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
Contact Last Name String The last name (surname) of a contact. View 5 datasets
State Abbreviation String The abbreviation of a state name. View 4 datasets
State Name String The name of a state. View 4 datasets
Company Name String The name of a company or business, might be the legal or brand name. View 3 datasets
Country Name String The name of a country. View 3 datasets
County Name String The name of a county. View 3 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

Where Can I Buy SERP Data?

You can explore our data marketplace to find a variety of SERP Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

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.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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