diff --git a/NAMESPACE b/NAMESPACE
index e4e57730..dcbd7059 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -24,6 +24,7 @@ export(fetch_alphafold_prediction)
 export(fetch_chebi)
 export(fetch_eco)
 export(fetch_go)
+export(fetch_interpro)
 export(fetch_kegg)
 export(fetch_metal_pdb)
 export(fetch_mobidb)
@@ -171,6 +172,7 @@ importFrom(stringr,str_sort)
 importFrom(stringr,str_split)
 importFrom(stringr,str_squish)
 importFrom(stringr,str_sub)
+importFrom(stringr,str_to_upper)
 importFrom(tibble,as_tibble)
 importFrom(tibble,column_to_rownames)
 importFrom(tibble,rowid_to_column)
diff --git a/NEWS.md b/NEWS.md
index f2d01f05..a2ce6af9 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,8 @@
 # protti 0.9.0.9000
 
+## New features 
+* Added `fetch_interpro()`. The function allows you to fetch information from the InterPro database. There are two options, either domain level information about the proteins of interest can be retrieved. This includes also e.g. gene ontology terms of the domains as well as their positions within the protein. Second you can retrieve residue level information. These are any annotations of proteins that focus on residues or small stretches, such as active sites, binding sites etc. 
+
 ## Additional Changes
 
 * `assign_peptide_type` now takes the `start` argument, containing the start position of a peptide. If a protein does not have any peptide starting at position `1` and there is a peptide starting at position `2`, this peptide will be considered "tryptic" at the N-terminus. This is because the initial Methionine is likely missing due to processing for every copy of the protein and therefore position `2` is the true N-terminus.
diff --git a/R/fetch_interpro.R b/R/fetch_interpro.R
new file mode 100644
index 00000000..375e72d9
--- /dev/null
+++ b/R/fetch_interpro.R
@@ -0,0 +1,292 @@
+#' Fetch domain and residue information from InterPro
+#'
+#' Fetches either domain level information with e.g. gene ontology annotations or
+#' residue level information from the InterPro database.
+#'
+#' @param uniprot_ids a character vector of UniProt accession numbers.
+#' @param return_residue_info a logical value that specifies if either domain or residue information
+#' should be returned by the function. The default is `FALSE`.
+#' @param manual_query optional, a character value that is a custom query to the InterPro database.
+#' This query is pastes after "https://www.ebi.ac.uk/interpro/api/" and before "&page_size=200".
+#' The raw data of the query is returned as a list.
+#' @param page_size a numeric value that specifies the number of entries that should be retrieved
+#' per page of a request. The function anyway iterates through all pages, but this parameters allows you
+#' to finetune the number of iterations and thus number of requests to the database. Default is 200.
+#' @param max_tries a numeric value that specifies the number of times the function tries to download
+#' the data in case an error occurs. The default is 3.
+#' @param timeout a numeric value that specifies the maximum request time per try. Default is 20 seconds.
+#' @param show_progress a logical value that determines if a progress bar will be shown. Default
+#' is TRUE.
+#'
+#' @return A data frame that contains either domain or residue level information for the provided
+#' UniProt IDs.
+#' @import dplyr
+#' @import progress
+#' @import purrr
+#' @importFrom tidyr crossing
+#' @importFrom stringr str_to_upper
+#' @importFrom curl has_internet
+#' @export
+#'
+#' @examples
+#' \donttest{
+#' uniprot_ids <- c("P36578", "O43324", "Q00796", "O32583")
+#'
+#' domain_info <- fetch_interpro(uniprot_ids = uniprot_ids)
+#'
+#' head(domain_info)
+#'
+#' residue_info <- fetch_interpro(uniprot_ids = uniprot_ids,
+#'                                return_residue_info = TRUE)
+#'
+#' head(residue_info)
+#' }
+fetch_interpro <- function(uniprot_ids = NULL,
+                           return_residue_info = FALSE,
+                           manual_query = NULL,
+                           page_size = 200,
+                           max_tries = 3,
+                           timeout = 20,
+                           show_progress = TRUE) {
+
+  # Define the progress bar settings
+  progress_option_residue <- if (show_progress) {
+    list(
+      type = "iterator",
+      format = "Fetching Residue Positions {cli::pb_bar} {cli::pb_percent} ({cli::pb_current}/{cli::pb_total}) ETA: {cli::pb_eta}",
+      clear = TRUE
+    )
+  } else {
+    NULL
+  }
+  progress_option_domain <- if (show_progress) {
+    list(
+      type = "iterator",
+      format = "Fetching InterPro Domains {cli::pb_bar} {cli::pb_percent} ({cli::pb_current}/{cli::pb_total}) ETA: {cli::pb_eta}",
+      clear = TRUE
+    )
+  } else {
+    NULL
+  }
+
+  # check for internet connection
+  if (!curl::has_internet()) {
+    message("No internet connection.")
+    return(invisible(NULL))
+  }
+
+  # check if any information for retrieval is provided
+  if(missing(manual_query) & missing(uniprot_ids)){
+    stop('Please provide information about what to retrieve to either "uniprot_ids" or "manual_query".')
+  }
+
+  # check if uniprot_ids were provided
+  if(!missing(uniprot_ids)){
+    uniprot_ids <- uniprot_ids[!is.na(uniprot_ids)]
+    if (length(uniprot_ids) == 0) {
+      stop("Please provide valid UniProt IDs.")
+    }
+    query_url_part <- paste0("entry/interpro/protein/uniprot/", uniprot_ids, "?")
+  }
+
+  # check if manual_query was provided
+  # if it was provided it will always be used over protein IDs
+  if(!missing(manual_query)){
+
+    # remove NA values
+    query_url_part <- manual_query[!is.na(manual_query)]
+    if (length(manual_query) == 0) {
+      stop("Please provide a valid manual query based on the interpro documentation.\n
+           The query is pasted after the general API URL: https://www.ebi.ac.uk/interpro/api/ \n
+           A valid query is eg. entry/interpro/protein/uniprot/O32583?")
+    }
+  }
+
+    # query data
+  if(!return_residue_info | !missing(manual_query)){
+    query_result <- purrr::map(
+      .x = query_url_part,
+      .f = ~ {
+
+        # Initialize the next page URL with the base query URL
+        next_url <- paste0("https://www.ebi.ac.uk/interpro/api/", .x, "&page_size=", page_size)
+        attempts <- 0
+        all_results <- list()
+
+        # progress bar variable
+        total_pages <- 1
+        current_page <- 1
+
+        while (!is.null(next_url)) {
+          result <- tryCatch({
+            # Call the protti function to query the API
+            query <- protti:::try_query(next_url,
+                                        type = "application/json",
+                                        max_tries = max_tries,
+                                        timeout = timeout)
+
+            # Store the results from the current page
+            all_results[[current_page]] <- query
+
+            # initialize progress bar
+            if (show_progress == TRUE & current_page == 1 & length(query_url_part) == 1 & !is.null(query$count)) {
+              pb <- progress::progress_bar$new(total = ceiling(query$count/page_size),
+                                               format = "  Fetching Pages [:bar] :current/:total (:percent) :eta")
+            }
+
+            # tick progress bar
+            if (show_progress == TRUE & length(query_url_part) == 1 & !is.null(query$count) && !pb$finished) {
+              pb$tick()
+            }
+
+            # Get the next page URL from the "next" field
+            next_url <- query$`next`
+
+            # add to page counter
+            current_page <- current_page + 1
+
+            attempts <- 0  # Reset attempts counter on successful request
+
+            NULL
+          }, error = function(e) {
+            if (grepl("408", e$message)) {
+              Sys.sleep(2)  # Sleep and retry for timeout errors (408)
+              NULL
+            } else {
+              attempts <<- attempts + 1
+              if (attempts < max_tries) {
+                Sys.sleep(2)  # Sleep and retry up to "max_tries" times
+                NULL
+              } else {
+                stop(paste("Error retrieving data for URL:", next_url, " - ", e$message))
+              }
+            }
+          })
+        }
+        all_results
+      },
+      .progress = progress_option_domain
+    )
+  }
+
+  if(!missing(manual_query)){
+  # return raw data for manual queries
+    return(query_result)
+  }
+
+  # if residue level information should be returned, fetch it here
+  if(return_residue_info){
+
+    query_residue <- purrr::map_dfr(
+      .x = uniprot_ids,
+      .f = ~ {
+
+        # Initialize the next page URL with the base query URL
+        next_url <- paste0("https://www.ebi.ac.uk/interpro/api/protein/uniprot/", .x, "?residues")
+
+        query <- protti:::try_query(next_url,
+                                    type = "application/json",
+                                    max_tries = max_tries,
+                                    timeout = timeout)
+
+        if(length(query) == 0){
+          result <- data.frame(accession = .x)
+        } else{
+
+          # map for each database accession
+          result <- purrr::map_dfr(.x = query,
+                            .f = ~{
+                              # map for each location
+                              location <- purrr::map_dfr(.x = .x[["locations"]],
+                                                  .f = ~{
+                                                    # map for each fragment
+                                                    fragment <- purrr::map_dfr(.x = .x[["fragments"]],
+                                                                        .f = ~{
+                                                                          # lowest level
+                                                                          data.frame(start = .x[["start"]],
+                                                                                     end = .x[["end"]],
+                                                                                     residues = .x[["residues"]])
+                                                                        })
+
+                                                    fragment %>%
+                                                      dplyr::mutate(fragment_description = .x[["description"]])
+                                                  })
+                              location %>%
+                                dplyr::mutate(source_database = .x[["source_database"]],
+                                              source_accession = .x[["accession"]],
+                                              source_name = .x[["name"]])
+                            }) %>%
+            mutate(accession = .x)
+        }
+
+        result
+
+      },
+      .progress = progress_option_residue
+    )
+
+    return(query_residue)
+  }
+
+  # start with unnesting and flattening the data
+  flattened_query_result <- purrr::map(.x = query_result,
+                       .f = ~{
+                         # page level
+                         purrr::map(.x = .x,
+                                    .f = ~{
+                                      .x[["results"]]
+                                    })
+                       }) %>%
+    purrr::flatten() %>%
+    purrr::flatten()
+
+  # unnest domain level data
+  domain_result <- purrr::map_dfr(.x = flattened_query_result,
+               .f = ~{
+
+      go_terms <- purrr::map_dfr(.x = .x[["metadata"]][["go_terms"]],
+                                 .f = ~{
+                                   data.frame(go_id = .x[["identifier"]],
+                                              go_name = .x[["name"]],
+                                              go_code = .x[["category"]][["code"]],
+                                              go_type = .x[["category"]][["name"]])
+                                 })
+
+      metadata <- data.frame(identifier = .x[["metadata"]][["accession"]],
+                             identifier_name = .x[["metadata"]][["name"]],
+                             identifier_source_database = .x[["metadata"]][["source_database"]],
+                             identifier_type = .x[["metadata"]][["type"]])
+
+      if(nrow(go_terms) != 0){
+        metadata <- metadata %>%
+        bind_cols(go_terms)
+      }
+
+      # Protein level
+      protein_level <- purrr::map_dfr(.x = .x[["proteins"]],
+                                     .f = ~{
+                                       # Entry protein location level
+                                       entry_protein_locations_level <- purrr::map_dfr(
+                                         .x = .x[["entry_protein_locations"]],
+                                         .f = ~{
+                                           # Fragment Level
+                                           protein_info <- purrr::map_dfr(.x = .x[["fragments"]],
+                                                                          .f = ~{
+                                                                            data.frame(start = .x[["start"]],
+                                                                                       end = .x[["end"]],
+                                                                                       dc_status = .x[["dc-status"]],
+                                                                                       representative = .x[["representative"]])
+                                                                          }) %>%
+                                             dplyr::mutate(model = .x[["model"]],
+                                                           score = .x[["score"]])
+                                         }
+                                       ) %>%
+                                         dplyr::mutate(accession = stringr::str_to_upper(.x[["accession"]]))
+                                     })
+
+      tidyr::crossing(metadata, protein_level)
+
+    })
+
+  domain_result
+}
diff --git a/R/fetch_uniprot.R b/R/fetch_uniprot.R
index 85e7d837..7b3856d0 100644
--- a/R/fetch_uniprot.R
+++ b/R/fetch_uniprot.R
@@ -9,7 +9,7 @@
 #' @param batchsize a numeric value that specifies the number of proteins processed in a single
 #' single query. Default and max value is 200.
 #' @param max_tries a numeric value that specifies the number of times the function tries to download
-#' the data in case an error occurs.
+#' the data in case an error occurs. The default is 10.
 #' @param timeout a numeric value that specifies the maximum request time per try. Default is 20 seconds.
 #' @param show_progress a logical value that determines if a progress bar will be shown. Default
 #' is TRUE.
diff --git a/man/fetch_interpro.Rd b/man/fetch_interpro.Rd
new file mode 100644
index 00000000..7b4dac08
--- /dev/null
+++ b/man/fetch_interpro.Rd
@@ -0,0 +1,60 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/fetch_interpro.R
+\name{fetch_interpro}
+\alias{fetch_interpro}
+\title{Fetch domain and residue information from InterPro}
+\usage{
+fetch_interpro(
+  uniprot_ids = NULL,
+  return_residue_info = FALSE,
+  manual_query = NULL,
+  page_size = 200,
+  max_tries = 3,
+  timeout = 20,
+  show_progress = TRUE
+)
+}
+\arguments{
+\item{uniprot_ids}{a character vector of UniProt accession numbers.}
+
+\item{return_residue_info}{a logical value that specifies if either domain or residue information
+should be returned by the function. The default is \code{FALSE}.}
+
+\item{manual_query}{optional, a character value that is a custom query to the InterPro database.
+This query is pastes after "https://www.ebi.ac.uk/interpro/api/" and before "&page_size=200".
+The raw data of the query is returned as a list.}
+
+\item{page_size}{a numeric value that specifies the number of entries that should be retrieved
+per page of a request. The function anyway iterates through all pages, but this parameters allows you
+to finetune the number of iterations and thus number of requests to the database. Default is 200.}
+
+\item{max_tries}{a numeric value that specifies the number of times the function tries to download
+the data in case an error occurs. The default is 3.}
+
+\item{timeout}{a numeric value that specifies the maximum request time per try. Default is 20 seconds.}
+
+\item{show_progress}{a logical value that determines if a progress bar will be shown. Default
+is TRUE.}
+}
+\value{
+A data frame that contains either domain or residue level information for the provided
+UniProt IDs.
+}
+\description{
+Fetches either domain level information with e.g. gene ontology annotations or
+residue level information from the InterPro database.
+}
+\examples{
+\donttest{
+uniprot_ids <- c("P36578", "O43324", "Q00796", "O32583")
+
+domain_info <- fetch_interpro(uniprot_ids = uniprot_ids)
+
+head(domain_info)
+
+residue_info <- fetch_interpro(uniprot_ids = uniprot_ids,
+                               return_residue_info = TRUE)
+
+head(residue_info)
+}
+}
diff --git a/man/fetch_uniprot.Rd b/man/fetch_uniprot.Rd
index 0afed05f..87645d55 100644
--- a/man/fetch_uniprot.Rd
+++ b/man/fetch_uniprot.Rd
@@ -26,7 +26,7 @@ cross-referenced database provide the database name with the prefix "xref_", e.g
 single query. Default and max value is 200.}
 
 \item{max_tries}{a numeric value that specifies the number of times the function tries to download
-the data in case an error occurs.}
+the data in case an error occurs. The default is 10.}
 
 \item{timeout}{a numeric value that specifies the maximum request time per try. Default is 20 seconds.}
 
diff --git a/tests/testthat/test-fetch_extract_and_enrichment_functions.R b/tests/testthat/test-fetch_extract_and_enrichment_functions.R
index 6f420b21..dbf987cc 100644
--- a/tests/testthat/test-fetch_extract_and_enrichment_functions.R
+++ b/tests/testthat/test-fetch_extract_and_enrichment_functions.R
@@ -527,4 +527,19 @@ if (Sys.getenv("TEST_PROTTI") == "true") {
     expect_equal(as.data.frame(table(af_domains$domain))$Freq[1], 6)
     expect_equal(as.data.frame(table(af_domains$domain))$Freq[2], 55)
   })
+
+  test_that("fetch_interpro works", {
+    unis <- c("P36578", "O43324", "Q00796", "O32583")
+    domains <- fetch_interpro(unis)
+    residues <- fetch_interpro(unis,
+                               return_residue_info = TRUE)
+    # Test domain info
+    expect_is(domains, "data.frame")
+    expect_equal(nrow(domains), 27)
+    expect_equal(ncol(domains), 13)
+    # Test residue info
+    expect_is(residues, "data.frame")
+    expect_equal(nrow(residues), 129)
+    expect_equal(ncol(residues), 8)
+  })
 }