run all

src/tests/test_all.py

@@ -5,10 +5,10 @@ import pandas as pd
 def test_all():
     result = scrape_jobs(
         site_name=["linkedin", "indeed", "zip_recruiter", "glassdoor"],
-        search_term="software engineer",
+        search_term="engineer",
         results_wanted=5,
     )
 
     assert (
-        isinstance(result, pd.DataFrame) and not result.empty
+        isinstance(result, pd.DataFrame) and len(result) == 5
     ), "Result should be a non-empty DataFrame"

src/tests/test_glassdoor.py

@@ -2,13 +2,12 @@ from ..jobspy import scrape_jobs
 import pandas as pd
 
 
-def test_indeed():
+def test_glasdoor():
     result = scrape_jobs(
         site_name="glassdoor",
-        search_term="software engineer",
-        country_indeed="USA",
+        search_term="engineer",
         results_wanted=5,
     )
     assert (
-        isinstance(result, pd.DataFrame) and not result.empty
+        isinstance(result, pd.DataFrame) and len(result) == 5
     ), "Result should be a non-empty DataFrame"

src/tests/test_indeed.py

@@ -5,10 +5,9 @@ import pandas as pd
 def test_indeed():
     result = scrape_jobs(
         site_name="indeed",
-        search_term="software engineer",
-        country_indeed="usa",
+        search_term="engineer",
         results_wanted=5,
     )
     assert (
-        isinstance(result, pd.DataFrame) and not result.empty
+        isinstance(result, pd.DataFrame) and len(result) == 5
     ), "Result should be a non-empty DataFrame"

src/tests/test_linkedin.py

@@ -3,9 +3,7 @@ import pandas as pd
 
 
 def test_linkedin():
-    result = scrape_jobs(
-        site_name="linkedin", search_term="software engineer", results_wanted=5
-    )
+    result = scrape_jobs(site_name="linkedin", search_term="engineer", results_wanted=5)
     assert (
-        isinstance(result, pd.DataFrame) and not result.empty
+        isinstance(result, pd.DataFrame) and len(result) == 5
     ), "Result should be a non-empty DataFrame"

src/tests/test_ziprecruiter.py

@@ -8,5 +8,5 @@ def test_ziprecruiter():
     )
 
     assert (
-        isinstance(result, pd.DataFrame) and not result.empty
+        isinstance(result, pd.DataFrame) and len(result) == 5
     ), "Result should be a non-empty DataFrame"