diff --git a/pyproject.toml b/pyproject.toml
index a3b8cab..394004b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,6 +16,7 @@ license = { file = "LICENSE" }
 
 dependencies = [
     "fastapi>=0.109.0",
+    "python-multipart>=0.0.9",
     "uvicorn>=0.27.0",
     "pydantic>=2.6.0",
     "pydantic-settings>=2.1.0",
diff --git a/server.py b/server.py
index 4bd1859..ff1025d 100644
--- a/server.py
+++ b/server.py
@@ -192,11 +192,13 @@ async def scrape_chat_link(req: ScrapeRequest):
         elapsed = round((time.perf_counter() - start) * 1000, 2)
 
         if not pairs:
+            from src.api.chat_share import scrape_failure_message
+
             return JSONResponse(
                 {
                     "status": "error",
                     "data": None,
-                    "error": "Failed to extract messages from the provided link.",
+                    "error": scrape_failure_message(result),
                     "elapsed_ms": elapsed,
                 },
                 status_code=400,
@@ -554,7 +556,7 @@ def _render_chat_share_sync(url: str) -> tuple[str, str]:
     with sync_playwright() as p:
         browser = None
         launch_errors = []
-        for channel in (None, "msedge", "chrome"):
+        for channel in ("chromium", None, "msedge", "chrome"):
             try:
                 kwargs = {"headless": True}
                 if channel:
@@ -591,15 +593,15 @@ def _block_heavy_assets(route):
             page.route("**/*", _block_heavy_assets)
 
             try:
-                page.goto(url, wait_until="networkidle", timeout=20000)
+                page.goto(url, wait_until="domcontentloaded", timeout=30000)
             except Exception as exc:
                 print(f"[scrape] navigation warning: {exc}", flush=True)
 
             provider = _detect_chat_provider(page.url or url)
             selector = {
                 "chatgpt": "div[data-message-author-role]",
-                "claude": "script",
-                "gemini": "message-content, div.user-query, div.model-response",
+                "claude": "div[data-testid='user-message'], div.font-claude-response",
+                "gemini": "message-content, div.user-query, div.model-response, .query-text",
             }.get(provider)
             if selector:
                 try:
@@ -607,7 +609,7 @@ def _block_heavy_assets(route):
                 except Exception as exc:
                     print(f"[scrape] timed out waiting for {provider} content: {exc}", flush=True)
 
-            page.wait_for_timeout(2000)
+            page.wait_for_timeout(5000 if provider == "claude" else 2000)
             final_url = page.url
             html = page.content()
         finally:
@@ -660,14 +662,37 @@ def _extract_chat_pairs(url: str, html: str) -> tuple[str, str, list[dict[str, s
                         extraction_method = "structured"
             except Exception as exc:
                 print(f"[scrape] Claude parse warning: {exc}", flush=True)
+        if not pairs:
+            user_msgs = soup.select("div[data-testid='user-message']")
+            asst_msgs = soup.select("div.font-claude-response")
+            for user_msg, assistant_msg in zip(user_msgs, asst_msgs):
+                pairs.append({
+                    "user_query": user_msg.get_text(separator="\n", strip=True),
+                    "agent_response": assistant_msg.get_text(separator="\n", strip=True),
+                })
+            if pairs:
+                extraction_method = "dom"
 
     elif provider == "gemini":
-        user_blocks = soup.select("message-content[role='user'], div.user-query")
-        model_blocks = soup.select("message-content[role='model'], div.model-response")
+        user_blocks = soup.select(
+            "message-content[role='user'], div.user-query, .query-text"
+        )
+        model_blocks = soup.select(
+            "message-content[role='model'], div.model-response, "
+            "structured-content-container.message-content message-content, "
+            "message-content:not([role])"
+        )
         for user_block, model_block in zip(user_blocks, model_blocks):
+            user_text = user_block.get_text(separator="\n", strip=True)
+            user_labels = {"you said", "your prompt", "あなたの入力", "あなたのプロンプト"}
+            user_lines = [
+                line.strip()
+                for line in user_text.splitlines()
+                if line.strip() and line.strip().lower() not in user_labels
+            ]
             pairs.append({
-                "user_query": user_block.get_text(separator="\n").strip(),
-                "agent_response": model_block.get_text(separator="\n").strip(),
+                "user_query": "\n".join(user_lines),
+                "agent_response": model_block.get_text(separator="\n", strip=True),
             })
         if pairs:
             extraction_method = "dom"
diff --git a/src/api/chat_share.py b/src/api/chat_share.py
new file mode 100644
index 0000000..0c4cd17
--- /dev/null
+++ b/src/api/chat_share.py
@@ -0,0 +1,23 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+def scrape_failure_message(result: dict[str, Any]) -> str:
+    provider = result.get("provider") or "unknown"
+
+    if provider in {"chatgpt", "claude", "gemini"}:
+        display_name = {
+            "chatgpt": "ChatGPT",
+            "claude": "Claude",
+            "gemini": "Gemini",
+        }[provider]
+        return (
+            f"Could not extract messages from this {display_name} share link. "
+            "Make sure the link is public, still exists, and has not expired."
+        )
+
+    return (
+        "Failed to extract messages from the provided link. "
+        "Supported public share links are ChatGPT, Claude, and Gemini."
+    )
diff --git a/src/api/routes/memory.py b/src/api/routes/memory.py
index 3397a69..0579ba5 100644
--- a/src/api/routes/memory.py
+++ b/src/api/routes/memory.py
@@ -21,6 +21,7 @@
     require_api_key,
     require_ready,
 )
+from src.api.chat_share import scrape_failure_message
 from src.api.schemas import (
     APIResponse,
     BatchIngestRequest,
@@ -154,7 +155,7 @@ def _get_or_create_browser():
         _pw_instance = sync_playwright().start()
 
         launch_errors = []
-        for channel in (None, "msedge", "chrome"):
+        for channel in ("chromium", None, "msedge", "chrome"):
             try:
                 kwargs = {"headless": True}
                 if channel:
@@ -209,8 +210,8 @@ def _block_heavy_assets(route):
         provider = _detect_chat_provider(page.url or url)
         selector = {
             "chatgpt": "div[data-message-author-role]",
-            "claude": "script",
-            "gemini": "message-content, div.user-query, div.model-response",
+            "claude": "div[data-testid='user-message'], div.font-claude-response",
+            "gemini": "message-content, div.user-query, div.model-response, .query-text",
         }.get(provider)
         if selector:
             try:
@@ -218,8 +219,8 @@ def _block_heavy_assets(route):
             except Exception as exc:
                 logger.warning("Timed out waiting for %s content: %s", provider, exc)
 
-        # No hardcoded sleep — the selector wait above already guarantees
-        # the chat content DOM nodes are present.
+        if provider == "claude":
+            page.wait_for_timeout(5000)
 
         final_url = page.url
         html = page.content()
@@ -273,14 +274,37 @@ def _extract_chat_pairs(url: str, html: str) -> tuple[str, str, List[MessagePair
                         extraction_method = "structured"
             except Exception as exc:
                 logger.warning("Failed to parse Claude preloaded state: %s", exc)
+        if not pairs:
+            user_msgs = soup.select("div[data-testid='user-message']")
+            asst_msgs = soup.select("div.font-claude-response")
+            for u, a in zip(user_msgs, asst_msgs):
+                pairs.append(MessagePair(
+                    user_query=u.get_text(separator="\n", strip=True),
+                    agent_response=a.get_text(separator="\n", strip=True),
+                ))
+            if pairs:
+                extraction_method = "dom"
 
     elif provider == "gemini":
-        user_blocks = soup.select("message-content[role='user'], div.user-query")
-        model_blocks = soup.select("message-content[role='model'], div.model-response")
+        user_blocks = soup.select(
+            "message-content[role='user'], div.user-query, .query-text"
+        )
+        model_blocks = soup.select(
+            "message-content[role='model'], div.model-response, "
+            "structured-content-container.message-content message-content, "
+            "message-content:not([role])"
+        )
         for u, m in zip(user_blocks, model_blocks):
+            user_text = u.get_text(separator="\n", strip=True)
+            user_labels = {"you said", "your prompt", "あなたの入力", "あなたのプロンプト"}
+            user_lines = [
+                line.strip()
+                for line in user_text.splitlines()
+                if line.strip() and line.strip().lower() not in user_labels
+            ]
             pairs.append(MessagePair(
-                user_query=u.get_text(separator="\n").strip(),
-                agent_response=m.get_text(separator="\n").strip(),
+                user_query="\n".join(user_lines),
+                agent_response=m.get_text(separator="\n", strip=True),
             ))
         if pairs:
             extraction_method = "dom"
@@ -757,7 +781,8 @@ async def scrape_chat_link(req: ScrapeRequest, request: Request):
         pairs = result["pairs"]
 
         if not pairs:
-            return _error(request, "Failed to extract messages from the provided link.", 400)
+            elapsed = round((time.perf_counter() - start) * 1000, 2)
+            return _error(request, scrape_failure_message(result), 400, elapsed)
 
         data = ScrapeResponse(pairs=pairs)
         elapsed = round((time.perf_counter() - start) * 1000, 2)
diff --git a/tests/test_chat_share_extraction.py b/tests/test_chat_share_extraction.py
new file mode 100644
index 0000000..1a70b67
--- /dev/null
+++ b/tests/test_chat_share_extraction.py
@@ -0,0 +1,182 @@
+import json
+import os
+from types import SimpleNamespace
+
+os.environ.setdefault("PINECONE_API_KEY", "test-pinecone-key")
+os.environ.setdefault("NEO4J_PASSWORD", "test-neo4j-password")
+os.environ.setdefault("GEMINI_API_KEY", "test-gemini-key")
+
+from src.api.chat_share import scrape_failure_message
+from src.api.routes.memory import (
+    _detect_chat_provider,
+    _extract_chat_pairs,
+    scrape_chat_link,
+)
+from src.api.schemas import MessagePair, ScrapeRequest
+
+
+def test_detects_supported_chat_share_providers():
+    assert _detect_chat_provider("https://chatgpt.com/share/abc") == "chatgpt"
+    assert _detect_chat_provider("https://chat.openai.com/share/abc") == "chatgpt"
+    assert _detect_chat_provider("https://claude.ai/share/abc") == "claude"
+    assert _detect_chat_provider("https://gemini.google.com/share/abc") == "gemini"
+    assert _detect_chat_provider("https://g.co/gemini/share/abc") == "gemini"
+
+
+def test_extracts_chatgpt_dom_pairs():
+    html = """
+    <div data-message-author-role="user">What is XMem?</div>
+    <div data-message-author-role="assistant">A long-term memory layer.</div>
+    """
+
+    provider, method, pairs = _extract_chat_pairs("https://chatgpt.com/share/abc", html)
+
+    assert provider == "chatgpt"
+    assert method == "dom"
+    assert pairs == [
+        MessagePair(
+            user_query="What is XMem?",
+            agent_response="A long-term memory layer.",
+        )
+    ]
+
+
+def test_extracts_claude_preloaded_state_pairs():
+    state = {
+        "chat": {
+            "messages": [
+                {"sender": "human", "text": "Summarize this repo."},
+                {"sender": "assistant", "text": "It stores memories for agents."},
+            ]
+        }
+    }
+    html = (
+        "<script>window.__PRELOADED_STATE__ = "
+        f"{json.dumps(state)};"
+        "</script>"
+    )
+
+    provider, method, pairs = _extract_chat_pairs("https://claude.ai/share/abc", html)
+
+    assert provider == "claude"
+    assert method == "structured"
+    assert pairs == [
+        MessagePair(
+            user_query="Summarize this repo.",
+            agent_response="It stores memories for agents.",
+        )
+    ]
+
+
+def test_extracts_claude_current_public_share_dom_pairs():
+    html = """
+    <div data-testid="user-message">
+      <p class="whitespace-pre-wrap break-words">test test</p>
+    </div>
+    <div class="font-claude-response relative leading">
+      <div>
+        <div class="standard-markdown">
+          <p class="font-claude-response-body">Hey! I'm here and working.</p>
+        </div>
+      </div>
+    </div>
+    """
+
+    provider, method, pairs = _extract_chat_pairs("https://claude.ai/share/abc", html)
+
+    assert provider == "claude"
+    assert method == "dom"
+    assert pairs == [
+        MessagePair(
+            user_query="test test",
+            agent_response="Hey! I'm here and working.",
+        )
+    ]
+
+
+def test_extracts_gemini_dom_pairs():
+    html = """
+    <message-content role="user">Compare memory tools.</message-content>
+    <message-content role="model">XMem focuses on persistent agent memory.</message-content>
+    """
+
+    provider, method, pairs = _extract_chat_pairs(
+        "https://gemini.google.com/share/abc",
+        html,
+    )
+
+    assert provider == "gemini"
+    assert method == "dom"
+    assert pairs == [
+        MessagePair(
+            user_query="Compare memory tools.",
+            agent_response="XMem focuses on persistent agent memory.",
+        )
+    ]
+
+
+def test_extracts_gemini_current_public_share_dom_pairs():
+    html = """
+    <div class="query-text">
+      <span class="screen-reader-user-query-label"> You said </span>
+      <p class="query-text-line"> Test test </p>
+    </div>
+    <structured-content-container class="message-content">
+      <message-content>
+        <div class="markdown">
+          <p>Loud and clear! I'm here and ready to roll.</p>
+        </div>
+      </message-content>
+    </structured-content-container>
+    """
+
+    provider, method, pairs = _extract_chat_pairs(
+        "https://gemini.google.com/share/abc",
+        html,
+    )
+
+    assert provider == "gemini"
+    assert method == "dom"
+    assert pairs == [
+        MessagePair(
+            user_query="Test test",
+            agent_response="Loud and clear! I'm here and ready to roll.",
+        )
+    ]
+
+
+def test_scrape_failure_message_names_private_or_missing_provider_links():
+    message = scrape_failure_message({"provider": "claude"})
+
+    assert "Claude share link" in message
+    assert "public" in message
+    assert "expired" in message
+
+
+def test_scrape_failure_message_lists_supported_unknown_links():
+    message = scrape_failure_message({"provider": "unknown"})
+
+    assert "Supported public share links" in message
+    assert "ChatGPT" in message
+    assert "Claude" in message
+    assert "Gemini" in message
+
+
+async def test_scrape_route_failure_uses_elapsed_ms(monkeypatch):
+    async def fake_scrape(url: str):
+        return {"provider": "gemini", "pairs": []}
+
+    ticks = iter([10.0, 10.12345])
+
+    monkeypatch.setattr("src.api.routes.memory._scrape_chat_share", fake_scrape)
+    monkeypatch.setattr("src.api.routes.memory.time.perf_counter", lambda: next(ticks))
+
+    response = await scrape_chat_link(
+        ScrapeRequest(url="https://gemini.google.com/share/abc"),
+        SimpleNamespace(state=SimpleNamespace(request_id="req-test")),
+    )
+    body = json.loads(response.body)
+
+    assert response.status_code == 400
+    assert body["elapsed_ms"] == 123.45
+    assert "Gemini share link" in body["error"]