What is SERP Data? Definition, Sources & Datasets to buy

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Eugenio Caterino
Editor & Data Industry Expert

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 include organic and paid search results, featured snippets, knowledge graphs, and related search suggestions. SERP data is used by marketers, SEO professionals, and businesses to analyze search engine rankings, track keyword performance, identify competitors, and optimize their online presence. In this page, you’ll find the best data sources for SERP data, including serp database and dataforseo.

Best SERP Datasets & APIs

4.9(7)

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

Available for 61 countries
10M Google SERP Data
6 years of historical data
100% Delivery On-Time
Starts at
$25 / month
Free sample preview
4.9(5)
Pricing available upon request
4.9(2)

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

Available for 249 countries
10M SERPs Daily
1 months of historical data
100% up to date SERP Data
Starts at
$0.75$0.71 / 1000 SERPs
Free sample preview
5% Datarade discount
5% revenue share
5.0(4)
Starts at
$25 / month
Free sample preview
Starts at
$25$23.75 / month
Free sample preview
5% Datarade discount

DataForSEO Google SERP Databases regular, advanced, historical

Available for 90 countries
513M Google SERPs
2 years of historical data
70% updated within the last 30 days
Pricing available upon request
Free sample preview
5.0(1)

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

by Xverum
Available for 250 countries
249 Countries Covered
1 years of historical data
100% Open Web
Starts at
$1,000$900 / month
10% Datarade discount
4.9(7)
Starts at
$25 / month
revenue share
4.9(2)

Serpstat: Google Keyword Database | 7.2B keywords, 229 countries

Available for 249 countries
7.2B Keywords
1 years of historical data
100% Google verified
Starts at
$20,000$19,000 / subset upload
Free sample preview
5% Datarade discount
5% revenue share
4.9(5)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

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Frequently Asked Questions

What is SERP Data?

SERP Data refers to data and information obtained from search engine results pages (SERPs) such as keyword rankings, search volumes, and other metrics related to SEO.

How is SERP Data collected?

SERP Data is collected using web crawlers or bots that extract data from search engines. These crawlers collect data on various SEO metrics, including website rankings, search volumes, and keyword trends.

What is SERP Data used for?

SERP Data is used to help businesses improve their SEO and online presence. It is used to analyze keyword rankings, search volumes, and other metrics to optimize websites for better search engine rankings and increased web traffic.

What’s a quality checklist for SERP Data?

A quality checklist for SERP Data should include evaluating the accuracy and relevance of the data, checking the frequency of data updates, assessing the data provider’s reputation and track record, and comparing the data to internal data sources for consistency and accuracy.

How is SERP Data priced?

SERP Data is typically priced using pay-per-use, subscription-based, or custom pricing models. Pay-per-use models charge customers for each data request, while subscription-based models charge a recurring fee for access to a certain amount of data per month. Custom pricing models are negotiable and can vary depending on the specific needs of the customer.

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