added headed argument to more robustly handle issues with scrapers he…

…adless mode

README.md

@@ -15,7 +15,7 @@ You should now be ready to start using it.
 ## About the tool
 ### Command-line arguments
 ```
-usage: tiktok-hashtag-analysis [-h] [--file FILE] [-d] [--number NUMBER] [-p] [-t] [--output-dir OUTPUT_DIR] [--config CONFIG] [--log LOG] [--limit LIMIT] [-v] [hashtags ...]
+usage: tiktok-hashtag-analysis [-h] [--file FILE] [-d] [--number NUMBER] [-p] [-t] [--output-dir OUTPUT_DIR] [--config CONFIG] [--log LOG] [--limit LIMIT] [-v] [--headed] [hashtags ...]
 
 Analyze hashtags within posts scraped from TikTok.
 
@@ -35,6 +35,7 @@ optional arguments:
   --log LOG             File to write logs to
   --limit LIMIT         Maximum number of videos to download for each hashtag
   -v, --verbose         Increase output verbosity
+  --headed              Don't use headless version of TikTok scraper
 ```
 
 ### Structure of output data

tests/base.py

@@ -3,7 +3,16 @@
 
 def test_scrape(tmp_path, hashtags):
     downloader = TikTokDownloader(hashtags=hashtags[:1], data_dir=tmp_path)
-    downloader.run(limit=1000, download=True, plot=True, table=True, number=20)
+    downloader.run(
+        limit=10, download=True, plot=True, table=True, number=5, headed=True
+    )
+
+
+def test_scrape_headless(tmp_path, hashtags):
+    downloader = TikTokDownloader(hashtags=hashtags[:1], data_dir=tmp_path)
+    downloader.run(
+        limit=10, download=True, plot=True, table=True, number=5, headed=False
+    )
 
 
 def test_load_hashtags_from_file(tmp_path, hashtags):

tests/cli.py

@@ -20,6 +20,7 @@
     ("table", True, "--table"),
     ("table", True, "-t"),
     ("verbose", True, "--verbose"),
+    ("headed", True, "--headed"),
     ("verbose", True, "-v"),
     ("output_dir", "/tmp/tiktok_download", "--output-dir"),
     ("config", "~/.tiktok", "--config"),
@@ -51,6 +52,7 @@ def test_output_dir_spec_noexist_nowrite(tmp_path):
             specified_output_dir=specified_output_dir, parser=parser
         )
     assert system_exit.type == SystemExit
+    os.chmod(tmp_path, 0o666)
 
 
 def test_output_dir_spec_exist_nowrite(tmp_path):
@@ -63,6 +65,7 @@ def test_output_dir_spec_exist_nowrite(tmp_path):
             specified_output_dir=specified_output_dir, parser=parser
         )
     assert system_exit.type == SystemExit
+    os.chmod(tmp_path, 0o666)
 
 
 def test_output_dir_unspec_nowrite(monkeypatch, tmp_path):
@@ -75,6 +78,7 @@ def test_output_dir_unspec_nowrite(monkeypatch, tmp_path):
     result = process_output_dir(specified_output_dir=None, parser=parser)
     monkeypatch.chdir(cwd)
     assert result == DEFAULT_OUTPUT_DIR
+    os.chmod(tmp_path, 0o666)
 
 
 def test_output_dir_spec_noexist_write(tmp_path):

tiktok_hashtag_analysis/base.py

@@ -52,11 +52,15 @@ def load_hashtags_from_file(file: str) -> List[str]:
 
 # Retry upon encountering transient playwright errors
 @retry(retry=retry_if_exception_type(Error), stop=stop_after_attempt(3))
-async def _fetch_hashtag_data(hashtag: str, limit: int) -> List[Dict]:
+async def _fetch_hashtag_data(
+    hashtag: str, limit: int, headed: bool = False
+) -> List[Dict]:
     """Fetch data for videos containing a specified hashtag, asynchronously."""
     data = []
     async with TikTokApi() as api:
-        await api.create_sessions(ms_tokens=[], num_sessions=1, sleep_after=3)
+        await api.create_sessions(
+            ms_tokens=[], num_sessions=1, sleep_after=3, headless=not headed
+        )
         async for video in api.hashtag(name=hashtag).videos(count=limit):
             data.append(video.as_dict)
     return data
@@ -157,7 +161,7 @@ def prioritize_hashtags(self):
         }
         self.hashtags.sort(key=lambda h: last_edited.get(h, 0))
 
-    def get_hashtag_posts(self, hashtag: str, limit: int):
+    def get_hashtag_posts(self, hashtag: str, limit: int, headed: bool):
         """Fetch data about posts that used a specified hashtag and merge with
         existing data, if it exists."""
 
@@ -172,8 +176,20 @@ def get_hashtag_posts(self, hashtag: str, limit: int):
             already_fetched_data = []
         already_fetched_ids = set(video["id"] for video in already_fetched_data)
 
-        # Scrape posts that use the specified hashtag
-        fetched_data = asyncio.run(_fetch_hashtag_data(hashtag=hashtag, limit=limit))
+        # Scrape posts that use the specified hashag
+        # Attempt to be robust against TikTok's countermeasures for headless browsing
+        try:
+            fetched_data = asyncio.run(
+                _fetch_hashtag_data(hashtag=hashtag, limit=limit, headed=headed)
+            )
+        except Exception as e:
+            logger.warning(
+                "Encountered error {e} when fetching data, retrying in headed mode"
+            )
+            fetched_data = asyncio.run(
+                _fetch_hashtag_data(hashtag=hashtag, limit=limit, headed=True)
+            )
+
         fetched_ids = set(video["id"] for video in fetched_data)
 
         if len(fetched_data) == 0:
@@ -303,13 +319,21 @@ def plot(self, hashtag: str, number: int):
         plt.savefig(plot_file, bbox_inches="tight", facecolor="white", dpi=300)
         logger.info(f"Plot saved to file: {plot_file}")
 
-    def run(self, limit: int, download: bool, plot: bool, table: bool, number: int):
+    def run(
+        self,
+        limit: int,
+        download: bool,
+        plot: bool,
+        table: bool,
+        number: int,
+        headed: bool,
+    ):
         """Execute the specified operations on all specified hashtags."""
 
         # Scrape all specified hashtags and perform analyses, depending on if
         # `--table`, `--plot`, and `--download` flags are used in the command
         for hashtag in self.hashtags:
-            self.get_hashtag_posts(hashtag=hashtag, limit=limit)
+            self.get_hashtag_posts(hashtag=hashtag, limit=limit, headed=headed)
             if plot:
                 self.plot(hashtag=hashtag, number=number)
             if table:

tiktok_hashtag_analysis/cli.py

@@ -77,7 +77,11 @@ def create_parser():
         help="Increase output verbosity",
         action="store_true",
     )
-
+    parser.add_argument(
+        "--headed",
+        help="Don't use headless version of TikTok scraper",
+        action="store_true",
+    )
     return parser
 
 
@@ -146,6 +150,7 @@ def main():
         plot=args.plot,
         table=args.table,
         number=args.number,
+        headed=args.headed,
     )