refactor: streamline TikTok and Instagram scraping logic by removing search_queries and enhancing documentation for clarity

surfsense_backend/tests/unit/capabilities/instagram/test_schemas.py

@@ -66,6 +66,4 @@ def test_details_wraps_profile_items():
 
 def test_details_rejects_both_sources():
     with pytest.raises(ValidationError):
-        DetailsInput(
-            urls=["https://www.instagram.com/natgeo/"], search_queries=["x"]
-        )
+        DetailsInput(urls=["https://www.instagram.com/natgeo/"], search_queries=["x"])

surfsense_backend/tests/unit/capabilities/tiktok/scrape/test_executor.py

@@ -54,7 +54,6 @@ async def test_forwards_typed_sources_and_limit():
         ScrapeInput(
             profiles=["nasa"],
             hashtags=["food"],
-            search_queries=["cats"],
             results_per_page=7,
             max_items=25,
         )
@@ -63,7 +62,6 @@ async def test_forwards_typed_sources_and_limit():
     (actor_input, limit) = scraper.calls[0]
     assert actor_input.profiles == ["nasa"]
     assert actor_input.hashtags == ["food"]
-    assert actor_input.searchQueries == ["cats"]
     assert actor_input.resultsPerPage == 7
     # The outer collection limit is the caller's total-item cap.
     assert limit == 25