Delve into Serpstat's Backlinks Database, boasting an impressive 1.7 trillion links and covering 170 million domains. Our unique architectural feature ensures live and up-to-date data, eliminating any separation between fresh and historical records.

With Serpstat's Backlink Index, gain a complete and detailed picture of a domain's backlink profile. Our update period guarantees freshness, with full index data refreshed every 70 days, ensuring that you have access to the most current and relevant backlink information.

Experience the power of Serpstat's Backlinks Database in uncovering insights, optimizing strategies, and staying ahead in your SEO endeavors. Choose between purchasing the entire dataset or customizable subsets tailored to your specific needs.

The fields description may be found here: https://docs.dataforseo.com/v3/databases/backlink_summary/?bash

DataForSEO Backlink Summary Database encompasses millions of domains enriched with backlink data and other related metrics. You will get a comprehensive overview of a domain’s backlink profile, including the number of inbound links, referring domains and referring pages, new & lost backlinks and referring domains, domain rank, backlink spam score, and more.

This database is available in both JSON and CSV formats.

High quality backlinks to adobe.com. The retrieval process was completed on 12-Dec-2014.

Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

Explore Serpstat's Backlinks API Insights, providing real-time access to comprehensive backlink data at the lowest possible cost. With pricing starting at just $120 for 1M API Data rows, our API offers unparalleled value for businesses of all sizes.

With seamless integration and no separation between fresh and historical records, our API provides a holistic view of backlink profiles, encompassing 1.7 trillion links and 170 million domains. Plus, with no API credits burnout at the end of the month, you can use the API without constraints.

Delve into Serpstat's comprehensive website ratings, providing an in-depth analysis of websites across 1K+ industries and 229 countries. Our datasets offer a wealth of valuable metrics, including domain global rating, domain rating within the category, and domain category (e.g., Shopping/Apparel/Footwear). Gain insights into domain estimated search traffic, domain visibility (an indicator of domain visibility in the top 20 Google results), number of domain SEO keywords, number of referring domains, number of backlinks, and Serpstat Domain Rank (a domain authority indicator).

With these robust metrics, our datasets empower businesses to make informed decisions and optimize their online strategies effectively. Whether you're conducting competitor analysis, market research, or SEO optimization, Serpstat's website ratings provide the comprehensive insights needed to drive success in today's digital landscape. Plus, our datasets are refreshed on demand, ensuring that you always have access to the most up-to-date information for strategic decision-making.

High quality backlinks to twitter.com. The retrieval process was completed on 06-Nov-2014.

Note that the bots in varocarbas.com (Project 1 - Stage 2) are collecting a maximum of 1000 high-quality backlinks (e.g., "site.com/backlink" rather than "site.com/this/that/backlink") for each domain.

This dataset contains data about references to the Encyclopedia of Sociology(Sociologická encyklopedie, https://encyklopedie.soc.cas.cz/, in Czech language only) from articles on the Czech Wikipedia in the period from 2020-03-12 to 2020-08-31. The data was harvested periodically for the purpose of further analysis.

This dataset was produced in the research project leading to the masters thesis.

Rožek, Š. A Verified Knowledge Source and Wikipedia. [Master’s Thesis] Charles University, Faculty of Arts, Institute of Information Studies and Librarianship : Prague CZ, 2020.

Further description of the thesis (in Czech) can be found on this website: https://is.cuni.cz/studium/dipl_st/index.php?do=main&doo=detail&did=211426

This dataset consists of a single ZIP archive that contains separate folders for each day of the measuring process. Every folder contains files with backlinks from Czech Wikipedia to Czech Sociological Encyclopedia, appearance of its Czech title on Wikipedia and also appearance of titles of printed original works, which this online Encyclopedia contains. Namely every folder contains JSON and CSV files with following measured aspects:

• Backlinks from Czech Wikipedia to Czech sociological Encyclopedia (the ext_usage.{json|csv} and ext_usage_http.{json|csv} files)

• Appearance of text string "Sociologická encyklopedie" on Czech Wikipedia

• Appearance of text string "Velký sociologický slovník" on Czech Wikipedia

• Appearance of text string "Malý sociologický slovník" on Czech Wikipedia

• Appearance of text string "Slovník českých sociologů" on Czech Wikipedia

• Appearance of text string "Slovník sociologického zázemí české sociologie" on Czech Wikipedia

The JSON files contain the raw responses of the MediaWiki API. The CSV files contain the same information presented in tabular form.

The backlinks CSV files have the following columns:

• (blank): record number

• page_id: the ID of the page where the link was found

• title: the title of the page

• url: the URL of the page

The text string appearance CSV files have the following columns:

• (blank): record number

• article_titles: the title of the Wikipedia article where the search term appeared

• article_id: the ID of the Wikipedia article where the search term appeared

• article_text_mention: a snippet of the article text where the search term appeared

The files were collected on a virtual server operated in the Metacentrum National grid infrastructure managed by the CESNET e-Infrastructure by the script sgenc_wiki_ref.R published in the GitHub repository at https://github.com/rozek1app2/sgenc-wiki-ref .