diff --git a/prediction_prophet/functions/research.py b/prediction_prophet/functions/research.py
index c8daf20f..fa171da1 100644
--- a/prediction_prophet/functions/research.py
+++ b/prediction_prophet/functions/research.py
@@ -1,5 +1,6 @@
 import logging
 import typing as t
+from math import ceil
 
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from prediction_prophet.functions.create_embeddings_from_results import create_embeddings_from_results
@@ -35,7 +36,7 @@ def research(
     initial_subqueries_limit: int = 20,
     subqueries_limit: int = 4,
     max_results_per_search: int = 5,
-    min_scraped_sites: int = 0,
+    min_scraped_sites_ratio: float = 0.0,
     scrape_content_split_chunk_size: int = 800,
     scrape_content_split_chunk_overlap: int = 225,
     top_k_per_query: int = 8,
@@ -45,14 +46,6 @@ def research(
     logger: t.Union[logging.Logger, "Logger"] = logging.getLogger(),
     tavily_storage: TavilyStorage | None = None,
 ) -> Research:
-    # Validate args
-    if min_scraped_sites > max_results_per_search * subqueries_limit:
-        raise ValueError(
-            f"min_scraped_sites ({min_scraped_sites}) must be less than or "
-            f"equal to max_results_per_search ({max_results_per_search}) * "
-            f"subqueries_limit ({subqueries_limit})."
-        )
-
     logger.info("Started subqueries generation")
     all_queries = generate_subqueries(query=goal, limit=initial_subqueries_limit, model=model, temperature=temperature, api_key=openai_api_key)
     
@@ -93,13 +86,13 @@ def research(
     scraped = [result for result in scraped if result.content != ""]
 
     unique_scraped_websites = set([result.url for result in scraped])
-    if len(scraped) < min_scraped_sites:
+    if min_scraped_sites_ratio and len(unique_scraped_websites) < ceil(min_scraped_sites_ratio * len(websites_to_scrape)):
         # Get urls that were not scraped
         raise ValueError(
             f"Only successfully scraped content from "
             f"{len(unique_scraped_websites)} websites, out of a possible "
             f"{len(websites_to_scrape)} websites, which is less than the "
-            f"minimum required ({min_scraped_sites}). The following websites "
+            f"minimum required ({min_scraped_sites_ratio}). The following websites "
             f"were not scraped: {websites_to_scrape - unique_scraped_websites}"
         )