diff --git a/surfsense_backend/scripts/e2e_tiktok_scrape.py b/surfsense_backend/scripts/e2e_tiktok_scrape.py
new file mode 100644
index 000000000..29cf1edc7
--- /dev/null
+++ b/surfsense_backend/scripts/e2e_tiktok_scrape.py
@@ -0,0 +1,201 @@
+"""Manual functional e2e for the TikTok scraper (blob + browser-listing seams).
+
+Run from the backend directory:
+    cd surfsense_backend
+    uv run python scripts/e2e_tiktok_scrape.py
+
+What it exercises (everything REAL — live network, live proxy, live browser):
+
+  Stage 1 — proxy egress proof (informational).
+  Stage 2 — profile listing via the stealth browser (captures item_list XHRs).
+  Stage 3 — blob video path over HTTP (a video URL derived from Stage 2).
+  Stage 4 — hashtag listing via the stealth browser.
+  Stage 5 — full scrape_tiktok() pipeline on a profile.
+
+On success it writes raw itemStructs under tests/fixtures/tiktok/ so the parser
+suites can pin against real-shaped data without network.
+
+This is NOT a pytest test (it needs a live stack + proxy + a real browser). It is
+the manual counterpart to the unit suites and the truth check for
+``session/listing.py``, which is otherwise unverified.
+"""
+
+import asyncio
+import json
+import sys
+from pathlib import Path
+from typing import Any
+from urllib.parse import urlsplit
+
+from dotenv import load_dotenv
+
+# --- bootstrap: load .env and put the backend root on sys.path before app.* ---
+_BACKEND_ROOT = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(_BACKEND_ROOT))
+for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"):
+    if _candidate.exists():
+        load_dotenv(_candidate)
+        break
+
+_FIXTURES = _BACKEND_ROOT / "tests" / "fixtures" / "tiktok"
+
+# Evergreen public targets: the official account and a broad hashtag.
+_PROFILE = "tiktok"
+_HASHTAG = "food"
+_COUNT = 5
+
+
+def _mask(url: str | None) -> str:
+    if not url:
+        return "<none>"
+    p = urlsplit(url)
+    creds = "***@" if p.username else ""
+    port = f":{p.port}" if p.port else ""
+    return f"{p.scheme}://{creds}{p.hostname or '?'}{port}"
+
+
+def _hr(title: str) -> None:
+    print(f"\n{'=' * 70}\n{title}\n{'=' * 70}")
+
+
+def _check(label: str, ok: bool, detail: str = "") -> bool:
+    print(f"  [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}")
+    return ok
+
+
+def _dump_fixture(name: str, data: Any) -> None:
+    _FIXTURES.mkdir(parents=True, exist_ok=True)
+    path = _FIXTURES / name
+    path.write_text(json.dumps(data, indent=2, ensure_ascii=False), encoding="utf-8")
+    print(f"  [fixture] wrote {path.relative_to(_BACKEND_ROOT)}")
+
+
+async def _discover_video_url() -> str | None:
+    """Find a live video URL over plain HTTP (independent of the browser path)."""
+    import re
+
+    from app.proprietary.platforms.tiktok.session import fetch_html
+
+    html = await fetch_html(f"https://www.tiktok.com/@{_PROFILE}")
+    if not html:
+        return None
+    match = re.search(r"/@[\w.]+/video/\d+", html)
+    return f"https://www.tiktok.com{match.group(0)}" if match else None
+
+
+async def stage_proxy() -> bool:
+    _hr("STAGE 1 — proxy egress (informational)")
+    from app.utils.proxy import get_active_provider, get_proxy_url, is_pool_backed
+
+    provider = get_active_provider()
+    proxy_url = get_proxy_url()
+    print(f"  active proxy provider : {provider.name}")
+    print(f"  proxy url             : {_mask(proxy_url)}")
+    print(f"  pool-backed (rotates) : {is_pool_backed()}")
+    if not proxy_url:
+        print("  [INFO] no proxy configured — TikTok may block anonymous access")
+    return True
+
+
+async def stage_profile_listing() -> tuple[bool, list[dict[str, Any]]]:
+    _hr(f"STAGE 2 — profile listing (browser): @{_PROFILE}")
+    from app.proprietary.platforms.tiktok.session import fetch_item_list
+
+    url = f"https://www.tiktok.com/@{_PROFILE}"
+    raw = await fetch_item_list(url, _COUNT)
+    ok = _check(
+        "captured itemStructs from item_list XHRs",
+        len(raw) > 0 and isinstance(raw[0], dict) and bool(raw[0].get("id")),
+        f"{len(raw)} struct(s)",
+    )
+    if ok:
+        _dump_fixture("listing_item.json", raw[0])
+    return ok, raw
+
+
+async def stage_blob_video(video_url: str) -> tuple[bool, dict[str, Any] | None]:
+    _hr("STAGE 3 — blob video path (HTTP)")
+    print(f"  target: {video_url}")
+    from app.proprietary.platforms.tiktok.extraction import (
+        extract_rehydration_data,
+        video_item_struct,
+    )
+    from app.proprietary.platforms.tiktok.session import fetch_html
+
+    html = await fetch_html(video_url)
+    if not _check("fetched page HTML", bool(html), f"{len(html or '')} chars"):
+        return False, None
+    data = extract_rehydration_data(html or "")
+    if not _check("extracted rehydration blob", data is not None):
+        return False, None
+    raw = video_item_struct(data or {})
+    ok = _check(
+        "blob carries the video itemStruct",
+        raw is not None and bool(raw.get("id")),
+        f"id={None if raw is None else raw.get('id')}",
+    )
+    if ok and raw is not None:
+        _dump_fixture("video_item_struct.json", raw)
+    return ok, raw
+
+
+async def stage_hashtag_listing() -> bool:
+    _hr(f"STAGE 4 — hashtag listing (browser): #{_HASHTAG}")
+    from app.proprietary.platforms.tiktok.session import fetch_item_list
+
+    url = f"https://www.tiktok.com/tag/{_HASHTAG}"
+    raw = await fetch_item_list(url, _COUNT)
+    return _check(
+        "captured itemStructs for hashtag",
+        len(raw) > 0 and bool(raw[0].get("id")),
+        f"{len(raw)} struct(s)",
+    )
+
+
+async def stage_pipeline() -> bool:
+    _hr("STAGE 5 — full scrape_tiktok() pipeline")
+    from app.proprietary.platforms.tiktok import TikTokScrapeInput, scrape_tiktok
+
+    items = await scrape_tiktok(
+        TikTokScrapeInput(profiles=[_PROFILE], resultsPerPage=3), limit=3
+    )
+    ok = _check(
+        "pipeline returns normalized video items",
+        len(items) > 0
+        and bool(items[0].get("id"))
+        and bool(items[0].get("webVideoUrl")),
+        f"{len(items)} item(s)",
+    )
+    if items:
+        print(f"  sample: {items[0].get('webVideoUrl')} — {items[0].get('text', '')[:60]!r}")
+    return ok
+
+
+async def main() -> int:
+    print("TikTok scraper functional e2e — live network + proxy + browser")
+    results: dict[str, bool] = {}
+
+    results["Stage 1 proxy"] = await stage_proxy()
+
+    # Blob path first: HTTP-only, so it's validated independently of the
+    # proxy-sensitive browser listing path.
+    video_url = await _discover_video_url()
+    if video_url:
+        ok_video, _ = await stage_blob_video(video_url)
+        results["Stage 3 blob video"] = ok_video
+    else:
+        print("\n  [SKIP] Stage 3 — could not discover a video URL over HTTP")
+
+    ok_profile, _ = await stage_profile_listing()
+    results["Stage 2 profile listing"] = ok_profile
+    results["Stage 4 hashtag listing"] = await stage_hashtag_listing()
+    results["Stage 5 pipeline"] = await stage_pipeline()
+
+    _hr("SUMMARY")
+    for name, ok in results.items():
+        print(f"  {'PASS' if ok else 'FAIL/SKIP'} — {name}")
+    return 0 if all(results.values()) else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(asyncio.run(main()))