[release] Bump to version 58.2

- Add more robust webpage scraping
- Time of Day Categories trend

PROJECT.org

@@ -604,6 +604,29 @@ independent of the email flow it was originally creatdd for
 
 ** TODO [#B] Is there way to create unique slugs for media instances :media_types:
 
+* Version 58.2 [2/2]
+** DONE [#B] Add more robust webpage scraping :webpages:metadata:
+:PROPERTIES:
+:ID:       84d9bfa5-75c0-0718-764e-379f7456602a
+:END:
+** DONE [#B] Time of Day Categories trend :trends:
+:PROPERTIES:
+:ID:       6598074f-2290-46db-967b-29f45d30be29
+:END:
+
+*** Description
+
+Added a "Time of Day Categories" trend that groups scrobbles for Books, Trails,
+Birding Locations, and Board Games into Early Bird (5-10:59am), Day Jay (11am-6:59pm),
+and Night Owl (7pm-4:59am) buckets. Shows both overall and per-media-type breakdowns.
+
+
+* Version 58.1 [1/1]
+** DONE [#B] Add auto genre tagging for papers :books:papers:metadata:
+:PROPERTIES:
+:ID:       e6b5c3a5-7fc6-b530-96c2-b5962a716db6
+:END:
+
 * Version 58.0 [1/1]
 ** DONE [#B] Add scrobbling of Papers via webpages with doi.org links in them :feature:papers:
 :PROPERTIES:

poetry.lock

@@ -654,7 +654,6 @@ description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\""
 files = [
     {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"},
     {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
@@ -967,6 +966,23 @@ prompt-toolkit = ">=3.0.36"
 [package.extras]
 testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
 
+[[package]]
+name = "cloudscraper"
+version = "1.2.71"
+description = "A Python module to bypass Cloudflare's anti-bot page."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "cloudscraper-1.2.71-py2.py3-none-any.whl", hash = "sha256:76f50ca529ed2279e220837befdec892626f9511708e200d48d5bb76ded679b0"},
+    {file = "cloudscraper-1.2.71.tar.gz", hash = "sha256:429c6e8aa6916d5bad5c8a5eac50f3ea53c9ac22616f6cb21b18dcc71517d0d3"},
+]
+
+[package.dependencies]
+pyparsing = ">=2.4.7"
+requests = ">=2.9.2"
+requests-toolbelt = ">=0.9.1"
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -1221,6 +1237,48 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi (>=2024)", "cryptography-vectors (==46.0.6)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "curl-cffi"
+version = "0.15.0"
+description = "libcurl ffi bindings for Python, with impersonation support."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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+    {file = "curl_cffi-0.15.0-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:a25620d9bf989c9c029a7d1642999c4c265abb0bad811deb2f77b0b5b2b12e5b"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:582e570aa2586b96ed47cf4a17586b9a3c462cbe43f780487c3dc245c6ef1527"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:838e48212447d9c81364b04707a5c861daf08f8320f9ecb3406a8919d1d5c3b3"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2b6c847d86283b07ae69bb72c82eb8a59242277142aa35b89850f89e792a02fc"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:9e5e69eee735f659287e2c84444319d68a1fa68dd37abf228943a4074864283a"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-manylinux_2_34_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:aa1323950224db24f4c510d010b3affa02196ca853fb424191fa917a513d3f4b"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:41f80170ba844009273b2660da1964ec31e99e5719d16b3422ada87177e32e13"},
+    {file = "curl_cffi-0.15.0-cp310-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1977e1e12cfb5c11352cbb74acef1bed24eb7d226dab61ca57c168c21acd4d61"},
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+    {file = "curl_cffi-0.15.0-cp310-abi3-win_arm64.whl", hash = "sha256:a6d57f8389273a3a1f94370473c74897467bcc36af0a17336989780c507fa43d"},
+    {file = "curl_cffi-0.15.0-cp313-abi3-android_24_arm64_v8a.whl", hash = "sha256:4682dc38d4336e0eb0b185374db90a760efde63cbea994b4e63f3521d44c4c92"},
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+    {file = "curl_cffi-0.15.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7e63539d0d839d0a8c5eacf86229bc68c57803547f35e0db7ee0986328b478c3"},
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+    {file = "curl_cffi-0.15.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:408d6f14e346841cd889c2e0962832bb235ba3b6749ebf609f347f747da5e60f"},
+    {file = "curl_cffi-0.15.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b624c7ce087bfda967a013ed0a64702a525444e5b6e97d23534d567ccc6525aa"},
+    {file = "curl_cffi-0.15.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0b6c0543b993996670e9e4b78e305a2d60809d5681903ffb5568e21a387434d3"},
+    {file = "curl_cffi-0.15.0.tar.gz", hash = "sha256:ea0c67652bf6893d34ee0f82c944f37e488f6147e9421bef1771cc6545b02ded"},
+]
+
+[package.dependencies]
+certifi = ">=2024.2.2"
+cffi = ">=2.0.0"
+rich = "*"
+
+[package.extras]
+build = ["cibuildwheel", "wheel"]
+dev = ["charset_normalizer (>=3.3.2,<4.0)", "coverage (>=6.4.1,<7.0)", "cryptography (>=46.0.4,<47.0)", "httpx (==0.23.1)", "mypy (>=1.9.0,<2.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "ruff (>=0.3.5,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "typing_extensions", "uvicorn (>=0.29.0,<1.0)", "websockets (>=14.0)"]
+extra = ["lxml_html_clean", "markdownify (>=1.1.0)", "readability-lxml (>=0.8.1)"]
+test = ["charset_normalizer (>=3.3.2,<4.0)", "cryptography (>=46.0.4,<47.0)", "httpx (==0.23.1)", "litestar (>=2.19.0,<3.0)", "proxy.py (>=2.4.3,<3.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "python-multipart (>=0.0.9,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "typing_extensions", "uvicorn (>=0.29.0,<1.0)", "websockets (>=14.0)"]
+
 [[package]]
 name = "dacite"
 version = "1.9.2"
@@ -2430,6 +2488,101 @@ files = [
 test = ["async-timeout ; python_version < \"3.11\"", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
 trio = ["trio"]
 
+[[package]]
+name = "jellyfish"
+version = "1.2.1"
+description = ""
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 python-versions = ">=3.8.0"
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 jeepney = ">=0.6"
 
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+groups = ["main"]
+files = [
+    {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"},
+    {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"},
+]
+
+[package.extras]
+widechars = ["wcwidth"]
+
 [[package]]
 name = "thefuzz"
 version = "0.22.1"
@@ -6197,6 +6566,31 @@ files = [
 [package.extras]
 test = ["pytest", "pytest-cov"]
 
+[[package]]
+name = "yake"
+version = "0.7.3"
+description = "Keyword extraction Python package"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "yake-0.7.3-py3-none-any.whl", hash = "sha256:38f7f135ff8ed4bcdc05e16b533a9dc93299f1e694b0c308c3c086bab316c5fe"},
+    {file = "yake-0.7.3.tar.gz", hash = "sha256:8778fb2832e58d26d838d6d7ac967b4947521f1fe8cdf23dd872636161fc53ed"},
+]
+
+[package.dependencies]
+click = ">=6.0"
+jellyfish = "*"
+networkx = "*"
+numpy = ">=1.24.0"
+segtok = "*"
+tabulate = "*"
+
+[package.extras]
+benchmark = ["matplotlib (>=3.5.0)", "memory-profiler (>=0.60.0)", "pytest-benchmark (>=4.0.0)"]
+dev = ["black (>=22.0.0)", "flake8 (>=6.0.0)", "pylint (>=3.3.0)", "pytest (>=7.0.0)", "pytest-cov (>=4.0.0)", "ruff (>=0.1.0)"]
+lemmatization = ["nltk (>=3.8.0)", "spacy (>=3.8.0)"]
+
 [[package]]
 name = "yarl"
 version = "1.23.0"
@@ -6476,4 +6870,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.15"
-content-hash = "02f8b551a54c53fa2a51622af17ef844e40aa8505c395ed02a7b87eb05647cc5"
+content-hash = "8b1c608beddabe6884d4c2614170ccd71986daccb7db3944cb36531937fdee4e"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "vrobbler"
-version = "58.0"
+version = "58.2"
 description = ""
 authors = ["Colin Powell <colin@unbl.ink>"]
 
@@ -11,6 +11,8 @@ django-extensions = "^3.1.5"
 python-dateutil = "^2.8.2"
 python-dotenv = ">=0.20.0,<2"
 python-json-logger = "^2.0.2"
+cloudscraper = "^1.2.71"
+curl-cffi = "^0.15.0"
 colorlog = "^6.6.0"
 httpx = "<=0.27.2"
 djangorestframework = "^3.13.1"
@@ -66,6 +68,7 @@ lxml = ">=5.5.0"
 vaderSentiment = "^3.3.2"
 sqids = "^0.5.2"
 python-amazon-paapi = "^6.3.0"
+yake = "^0.7.3"
 
 [tool.poetry.group.test]
 optional = true

vrobbler/apps/books/sources/crossref.py

@@ -3,11 +3,40 @@ import logging
 import re
 
 import requests
+import yake
 
 CROSSREF_WORK_URL = "https://api.crossref.org/works/{}"
 
 logger = logging.getLogger(__name__)
 
+_STOPWORDS = {
+    "this", "that", "these", "those", "the", "a", "an", "in", "on", "at",
+    "to", "for", "of", "and", "or", "is", "are", "was", "were", "be",
+    "been", "being", "have", "has", "had", "do", "does", "did", "will",
+    "would", "can", "could", "may", "might", "shall", "should", "not",
+    "no", "nor", "with", "from", "by", "as", "at", "but", "if", "because",
+    "while", "although", "however", "we", "our", "their", "its", "it",
+    "they", "them", "also", "more", "most", "new", "such", "into",
+    "across", "between", "through", "about", "after", "before", "during",
+    "within", "without", "other", "many", "some", "each", "every", "both",
+    "few", "own", "via",
+}
+
+_DROP_PHRASES = {
+    "paper", "study", "studies", "research", "introduction", "conclusion",
+    "conclusions", "background", "methods", "results", "findings",
+    "analysis", "approach", "approaches", "framework", "theory",
+    "theories", "concept", "concepts", "model", "models", "process",
+    "processes", "role", "roles", "factor", "factors", "effect",
+    "effects", "impact", "implication", "implications", "actor", "actors",
+    "article", "chapter", "section", "discussion", "review", "overview",
+    "summary", "methodology", "special issue", "implications",
+    "limitations", "findings", "purpose", "objective", "objectives",
+    "design", "setting", "participants", "sample", "data",
+    "contemporary", "little", "empirical", "theoretical",
+    "organizations", "dissent",
+}
+
 
 def _strip_jats(text: str) -> str:
     if not text:
@@ -17,6 +46,28 @@ def _strip_jats(text: str) -> str:
     return text.strip()
 
 
+def _extract_genres_from_abstract(abstract: str, max_keywords: int = 8) -> list[str]:
+    if not abstract or len(abstract) < 50:
+        return []
+    kw_extractor = yake.KeywordExtractor(lan="en", n=2, top=max_keywords)
+    keywords = kw_extractor.extract_keywords(abstract)
+    genres = []
+    seen = set()
+    for kw, score in keywords:
+        kw_lower = kw.lower().strip()
+        if kw_lower in seen or kw_lower in _DROP_PHRASES:
+            continue
+        words = [w for w in kw_lower.split() if w not in _STOPWORDS]
+        cleaned = " ".join(words)
+        if not cleaned or len(cleaned) < 3 or cleaned in seen:
+            continue
+        if cleaned in _DROP_PHRASES:
+            continue
+        seen.add(cleaned)
+        genres.append(cleaned)
+    return genres
+
+
 def lookup_paper_from_crossref(doi: str) -> dict:
     url = CROSSREF_WORK_URL.format(doi)
     headers = {"User-Agent": "Vrobbler/1.0 (mailto:hello@example.com)"}
@@ -46,7 +97,11 @@ def lookup_paper_from_crossref(doi: str) -> dict:
 
     abstract = msg.get("abstract", "")
     if abstract:
-        paper_dict["abstract"] = _strip_jats(abstract)
+        stripped = _strip_jats(abstract)
+        paper_dict["abstract"] = stripped
+        genres = _extract_genres_from_abstract(stripped)
+        if genres:
+            paper_dict["genres"] = genres
 
     author_dicts = []
     for author in msg.get("author", []):

vrobbler/apps/trends/templates/trends/_time_of_day_categories.html

@@ -0,0 +1,65 @@
+<div class="row">
+  <div class="col-12">
+    {% if data.total and data.total > 0 %}
+    <h5>Overall</h5>
+    <div class="table-responsive mb-4">
+      <table class="table table-striped table-sm">
+        <thead>
+          <tr>
+            <th>Category</th>
+            <th class="text-end">Scrobbles</th>
+            <th class="text-end">%</th>
+          </tr>
+        </thead>
+        <tbody>
+          {% for slug, info in data.categories.items %}
+          <tr>
+            <td>{{ info.label }}</td>
+            <td class="text-end">{{ info.count }}</td>
+            <td class="text-end">{{ info.pct }}%</td>
+          </tr>
+          {% endfor %}
+          <tr class="table-secondary">
+            <td><strong>Total</strong></td>
+            <td class="text-end"><strong>{{ data.total }}</strong></td>
+            <td class="text-end"></td>
+          </tr>
+        </tbody>
+      </table>
+    </div>
+
+    <h5>By Media Type</h5>
+    {% for mt, mt_data in data.by_media_type.items %}
+    <h6 class="mt-3">{{ mt }}</h6>
+    <div class="table-responsive">
+      <table class="table table-striped table-sm">
+        <thead>
+          <tr>
+            <th>Category</th>
+            <th class="text-end">Scrobbles</th>
+            <th class="text-end">%</th>
+          </tr>
+        </thead>
+        <tbody>
+          {% for slug, info in mt_data.categories.items %}
+          <tr>
+            <td>{{ info.label }}</td>
+            <td class="text-end">{{ info.count }}</td>
+            <td class="text-end">{{ info.pct }}%</td>
+          </tr>
+          {% endfor %}
+          <tr class="table-secondary">
+            <td><strong>Total</strong></td>
+            <td class="text-end"><strong>{{ mt_data.total }}</strong></td>
+            <td class="text-end"></td>
+          </tr>
+        </tbody>
+      </table>
+    </div>
+    {% endfor %}
+
+    {% else %}
+    <p class="text-muted">No data found for Books, Trails, Birding Locations, or Board Games in this period.</p>
+    {% endif %}
+  </div>
+</div>

vrobbler/apps/trends/templates/trends/trend_detail.html

@@ -55,6 +55,9 @@
 {% elif trend.slug == "reading-pace-vs-activity" %}
   {% include "trends/_reading_pace.html" %}
 
+{% elif trend.slug == "time-of-day-categories" %}
+  {% include "trends/_time_of_day_categories.html" %}
+
 {% elif trend.slug == "trending-up" %}
   {% include "trends/_trending_up.html" %}
 

vrobbler/apps/trends/trends/__init__.py

@@ -15,6 +15,7 @@ from trends.trends.mood import (
     compute_mood_weather,
 )
 from trends.trends.reading import compute_reading_pace_vs_activity
+from trends.trends.time_of_day import compute_time_of_day_categories
 from trends.trends.trending import compute_trending_up
 
 TREND_REGISTRY = {}
@@ -44,5 +45,8 @@ compute_peak_hours = register("peak-hours")(compute_peak_hours)
 compute_reading_pace_vs_activity = register("reading-pace-vs-activity")(
     compute_reading_pace_vs_activity
 )
+compute_time_of_day_categories = register("time-of-day-categories")(
+    compute_time_of_day_categories
+)
 compute_trending_up = register("trending-up")(compute_trending_up)
 compute_weekly_rhythm = register("weekly-rhythm")(compute_weekly_rhythm)

vrobbler/apps/trends/trends/time_of_day.py

@@ -0,0 +1,89 @@
+from collections import OrderedDict
+
+from django.db.models import Count, Q
+from django.db.models.functions import Extract
+from scrobbles.models import Scrobble
+
+
+TARGET_MEDIA_TYPES = ["Book", "Trail", "BirdingLocation", "BoardGame"]
+
+CATEGORIES = OrderedDict(
+    [
+        ("early_bird", {"label": "Early Bird", "hours": {5, 6, 7, 8, 9, 10}}),
+        ("day_jay", {"label": "Day Jay", "hours": {11, 12, 13, 14, 15, 16, 17, 18}}),
+        ("night_owl", {"label": "Night Owl", "hours": {19, 20, 21, 22, 23, 0, 1, 2, 3, 4}}),
+    ]
+)
+
+
+def _categorize_hour(hour):
+    for slug, cat in CATEGORIES.items():
+        if hour in cat["hours"]:
+            return slug
+    return None
+
+
+def compute_time_of_day_categories(user, period="last_30"):
+    from trends.utils import get_date_range
+
+    start, end = get_date_range(period)
+    filters = Q(user=user, media_type__in=TARGET_MEDIA_TYPES, timestamp__isnull=False)
+    if start:
+        filters &= Q(timestamp__gte=start)
+    if end:
+        filters &= Q(timestamp__lte=end)
+
+    qs = (
+        Scrobble.objects.filter(filters)
+        .annotate(hour=Extract("timestamp", "hour"))
+        .values("media_type", "hour")
+        .annotate(count=Count("id"))
+        .order_by("media_type", "hour")
+    )
+
+    raw = {}
+    for row in qs:
+        mt = row["media_type"]
+        raw.setdefault(mt, {})[row["hour"]] = row["count"]
+
+    by_media_type = {}
+    grand_totals = {"early_bird": 0, "day_jay": 0, "night_owl": 0}
+    grand_total = 0
+
+    for mt in TARGET_MEDIA_TYPES:
+        mt_data = raw.get(mt, {})
+        cat_counts = {"early_bird": 0, "day_jay": 0, "night_owl": 0}
+        mt_total = 0
+        for hour, count in mt_data.items():
+            slug = _categorize_hour(hour)
+            if slug:
+                cat_counts[slug] += count
+                mt_total += count
+        by_media_type[mt] = {
+            "total": mt_total,
+            "categories": {},
+        }
+        for slug in CATEGORIES:
+            c = cat_counts[slug]
+            by_media_type[mt]["categories"][slug] = {
+                "count": c,
+                "pct": round((c / mt_total * 100), 1) if mt_total else 0,
+                "label": CATEGORIES[slug]["label"],
+            }
+            grand_totals[slug] += c
+        grand_total += mt_total
+
+    categories = {}
+    for slug in CATEGORIES:
+        c = grand_totals[slug]
+        categories[slug] = {
+            "count": c,
+            "pct": round((c / grand_total * 100), 1) if grand_total else 0,
+            "label": CATEGORIES[slug]["label"],
+        }
+
+    return {
+        "categories": categories,
+        "total": grand_total,
+        "by_media_type": by_media_type,
+    }

vrobbler/apps/trends/utils.py

@@ -25,6 +25,7 @@ TIME_BOUND_TRENDS = {
     "mood-weather",
     "peak-hours",
     "reading-pace-vs-activity",
+    "time-of-day-categories",
     "trending-up",
     "weekly-rhythm",
 }

vrobbler/apps/trends/views.py

@@ -55,6 +55,11 @@ TREND_METADATA = {
         "description": "Compare how long you read per session with and without concurrent music.",
         "icon": "📊",
     },
+    "time-of-day-categories": {
+        "title": "Time of Day Categories",
+        "description": "Are you an early bird, day jay, or night owl? Categorized by Books, Trails, Birding Locations, and Board Games.",
+        "icon": "🦉",
+    },
     "trending-up": {
         "title": "Trending Media Types",
         "description": "Which media types have you been consuming more or less of recently?",

vrobbler/apps/webpages/models.py

@@ -2,6 +2,8 @@ import logging
 from typing import Dict, Optional
 from uuid import uuid4
 
+import cloudscraper
+from curl_cffi import requests as curl_requests
 import pendulum
 import requests
 import trafilatura
@@ -45,6 +47,37 @@ class Domain(TimeStampedModel):
         )
 
 
+def _fetch_url_raw(url: str) -> Optional[str]:
+    """Fetch raw HTML for a URL.
+
+    Tries three strategies in order:
+      1. trafilatura (standard, works for most sites)
+      2. cloudscraper   (handles basic Cloudflare JS challenges)
+      3. curl_cffi      (impersonates browser TLS fingerprint for aggressive
+                         Cloudflare / bot detection)
+    """
+    raw = trafilatura.fetch_url(url)
+    if raw:
+        return raw
+    logger.debug("trafilatura returned nothing for %s, trying cloudscraper", url)
+    try:
+        scraper = cloudscraper.create_scraper()
+        resp = scraper.get(url, timeout=30)
+        resp.raise_for_status()
+        return resp.text
+    except Exception as exc:
+        logger.debug("cloudscraper failed for %s: %s, trying curl_cffi", url, exc)
+    try:
+        resp = curl_requests.get(
+            url, impersonate="chrome124", timeout=30
+        )
+        resp.raise_for_status()
+        return resp.text
+    except Exception as e:
+        logger.warning("curl_cffi also failed for %s: %s", url, e)
+        return None
+
+
 class WebPage(ScrobblableMixin):
     COMPLETION_PERCENT = getattr(settings, "WEBSITE_COMPLETION_PERCENT", 100)
 
@@ -80,7 +113,7 @@ class WebPage(ScrobblableMixin):
 
     def _update_extract_from_web(self, raw_text: str = "", force=True):
         if not raw_text:
-            raw_text = requests.get(self.url, headers=headers).text
+            raw_text = _fetch_url_raw(self.url)
         if not self.extract or force:
             self.extract = trafilatura.extract(raw_text)
             self.save(update_fields=["extract"])
@@ -259,7 +292,7 @@ class WebPage(ScrobblableMixin):
             return False
 
     def fetch_data_from_web(self, save=True, force=True):
-        raw_text = trafilatura.fetch_url(self.url)
+        raw_text = _fetch_url_raw(self.url)
         if not self.extract or force:
             self.extract = trafilatura.extract(
                 raw_text,