Extracting Publishing Data from the English Catalogue of Books

The English Catalogue of Books (ECB) is a yearly record of books issued in England and Ireland compiled by the trade publication Publishers’ Circular, which ran from the mid-19th through the mid-20th centuries. During much of this period, London was home to the largest English-language publishing industry in the world–rivalled only by New York. The ECB is thus a key resource for researchers interested in modern British and Irish print culture and Anglophone publishing more broadly. Until recently, though, the ECB was available only in printed copies or digital facsimiles, making it difficult to draw broad conclusions from the information in the catalogues. We discuss unlocking the ECB for computational analysis by 1) extracting and parsing bibliographic information for a decade of issues, and 2) establishing an approach that can be customized and extended to additional years of the catalogue.

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Publication Details

Journal
Journal of Open Humanities Data
Published
2026-01-01
DOI
https://doi.org/10.5334/johd.499
Primary Topic
Digital Humanities and Scholarship
Type
article
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article

Extracting Publishing Data from the English Catalogue of Books

Anna Preus, Siddharth Bhogra, John Carlyle
Journal of Open Humanities Data
Digital Humanities and Scholarship
article

Extracting Publishing Data from the English Catalogue of Books

Anna Preus, Siddharth Bhogra, John Carlyle
article en

Abstract

The English Catalogue of Books (ECB) is a yearly record of books issued in England and Ireland compiled by the trade publication Publishers’ Circular, which ran from the mid-19th through the mid-20th centuries. During much of this period, London was home to the largest English-language publishing industry in the world–rivalled only by New York. The ECB is thus a key resource for researchers interested in modern British and Irish print culture and Anglophone publishing more broadly. Until recently, though, the ECB was available only in printed copies or digital facsimiles, making it difficult to draw broad conclusions from the information in the catalogues. We discuss unlocking the ECB for computational analysis by 1) extracting and parsing bibliographic information for a decade of issues, and 2) establishing an approach that can be customized and extended to additional years of the catalogue.

Journal of Open Humanities DataVol. 12
Openalex Percentile: Top 5%
Digital Humanities and Scholarship
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