First of all, thanks a lot for this incredible dataset.
However, I find a small flaw in it: the club_involved_name feature contains club names as written in the text of the correspondent Transfermarkt entry. However, these names are often inconsistent with the names in club_name. Having the same names on both columns would ease the analysis of the data - e.g., allowing to join the involved club name with its own league, to study flows between leagues.
In Transfermarkt, the name to use is the title of the very same a HTML tag, should be an easy fix. I'd love to help with a pull request, but I had a look at the source code and R is out of my league. In the future I could think of proposing a Python alternative to scrape the data.
Again, congratulation on such a useful repo.

This is quite an amazing resource that I would like to use to fill a sports database i run (www.thesportsdb.com). We are trying to create an entire history of all sports.

Is it possible to scrape the players date of birth at all and insert into the CSV? It would really help me write some import scripts. Position and country would be even more awesome ;)

Thanks again for your work on this.

Hi!

First of all, thanks for this amazing data.

I'm having a problem with the encoding of this data reading the url of the raw files, I can't read it with utf-8 or Latin-1, I am doing something wrong i think or there is some specific encoding for this data (2019 files)?

Thanks in advance!

I can't see any reference to the Miralem Pjanić transfer from Juve to Barcelona

Hi, nice little tool you've built here.

I get the following error when GET() is called:

Error in read_html.response(.) : Forbidden (HTTP 403).

I've tried passing my transfermarkt credentials to GET using authenticate() but I still get the 403. I get this error no matter what league I try to pull from.

> sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 11.6.8

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib

locale:
[1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] httr_1.4.4       glue_1.6.2       stringr_1.5.0    readr_2.1.4      janitor_2.2.0    purrr_1.0.2.9000
[7] dplyr_1.1.2      rvest_1.0.3     

loaded via a namespace (and not attached):
 [1] xml2_1.3.3       magrittr_2.0.3   hms_1.1.2        bit_4.0.5        tidyselect_1.2.0
 [6] timechange_0.2.0 R6_2.5.1         rlang_1.1.1      fansi_1.0.4      tools_4.2.1     
[11] parallel_4.2.1   vroom_1.6.1      utf8_1.2.3       cli_3.6.1        withr_2.5.0     
[16] ellipsis_0.3.2   bit64_4.0.5      tibble_3.2.1     lifecycle_1.0.3  crayon_1.5.2    
[21] tzdb_0.3.0       vctrs_0.6.3      curl_5.0.0       snakecase_0.11.0 stringi_1.7.12  
[26] compiler_4.2.1   pillar_1.9.0     generics_0.1.3   lubridate_1.9.2  pkgconfig_2.0.3 

Hi! I was using the data to try to visualise the market growth based on transfers.

I made a post on reddit with the project and turns out the Transfermarkt reported pound fees are converted back from euros with a recent exchange rate, rendering the older fees off by over 30%.

I would like to finish my project but have 0 skills in scraping websites. Would be sweet if these same values could be extracted from their .com site euro values as they seem far more accurate than the pound values on the uk site!

Do you happen to know how to particularly get the JSON link for the newer Guardian football transfer collections? There doesn't seem to be one nice easily collectable set like the new Guardian ones and I was hoping you could help me out with that.