diff --git a/deepsearch/cps/data_indices/utils.py b/deepsearch/cps/data_indices/utils.py
index 77a25451..94233bc3 100644
--- a/deepsearch/cps/data_indices/utils.py
+++ b/deepsearch/cps/data_indices/utils.py
@@ -27,6 +27,7 @@ def upload_files(
     local_file: Optional[Union[str, Path]] = None,
     s3_coordinates: Optional[S3Coordinates] = None,
     conv_settings: Optional[ConversionSettings] = None,
+    url_chunk_size: int = 1,
 ):
     """
     Orchestrate document conversion and upload to an index in a project
@@ -43,7 +44,9 @@ def upload_files(
         else:
             urls = url
 
-        return process_url_input(api=api, coords=coords, urls=urls)
+        return process_url_input(
+            api=api, coords=coords, urls=urls, url_chunk_size=url_chunk_size
+        )
     elif url is None and local_file is not None and s3_coordinates is None:
         return process_local_file(
             api=api,
@@ -64,18 +67,22 @@ def process_url_input(
     api: CpsApi,
     coords: ElasticProjectDataCollectionSource,
     urls: List[str],
+    url_chunk_size: int,
     progress_bar: bool = False,
 ):
     """
     Individual urls are uploaded for conversion and storage in data index.
     """
 
+    chunk_list = lambda lst, n: [lst[i : i + n] for i in range(0, len(lst), n)]
+
     root_dir = create_root_dir()
 
     # container list for task_ids
     task_ids = []
     # submit urls
-    count_urls = len(urls)
+    url_chunks = chunk_list(urls, url_chunk_size)
+    count_urls = len(url_chunks)
     with tqdm(
         total=count_urls,
         desc=f"{'Submitting input:': <{progressbar.padding}}",
@@ -83,8 +90,9 @@ def process_url_input(
         colour=progressbar.colour,
         bar_format=progressbar.bar_format,
     ) as progress:
-        for url in urls:
-            file_url_array = [url]
+
+        for url_chunk in url_chunks:
+            file_url_array = url_chunk
             payload = {"file_url": file_url_array}
             task_id = api.data_indices.upload_file(coords=coords, body=payload)
             task_ids.append(task_id)