Read Claude Web Conversation

Read Claude.ai Web Conversation

Pull a Claude.ai web conversation into a full, structured transcript — every

message and every tool call, not just what is currently on screen.

Verified against Claude.ai's web API as of July 2026. These are the same private

JSON endpoints the Claude.ai front-end calls; they are not a documented or

version-stable public API, so if a request 404s, re-derive the shape from the

Network tab (see references/claude-web-api-extraction.md).

This skill vs. its siblings

Pick by the *source you are holding*, not by the word "conversation":

| Source | Use |

|--------|-----|

| A live claude.ai/chat/… or claude.ai/share/… URL | This skill |

| Local Claude Code sessions (~/.claude/projects/*.jsonl) | claude-code-history-files-finder |

| An already-exported .txt / .json conversation file | claude-export-txt-better |

Why the obvious approaches fail (read this first)

Four traps, and every one of them fails silently — you get back something

that looks like a complete export, and you only notice the loss if you happen to

know how long the conversation really was. Assume you are being lied to by

default; the fidelity gate in Step 4 exists to make the lies audible.

• Login wall. curl and WebFetch don't get an auth redirect — they get a

Cloudflare challenge page (HTTP 403, Just a moment...). Nothing you do to

the headers fixes this; the page is gated on a session that lives in the

user's Chrome. Never reach for curl here, not even to "just check".

• Virtual scrolling. With the conversation open, get_page_text and DOM

scraping still only see the handful of messages currently rendered — often

just the last one. A 40-message thread comes back as 1.

• Default rendering collapses the tool calls. The API's default rendering

turns every tool call into a "not supported on your current device"

placeholder. On a research/agent conversation the tool blocks ARE the content:

measured on a real one, the default rendering returned **9.4k chars against

173k** with render_all_tools=true — 5%. Always request the full rendering.

• A /chat/-shaped renderer silently drops /share/ blocks. A share payload

returns web_search hits as knowledge items, not text items. A renderer

that only knows text returns the empty string for them and reports no error —

the same real conversation rendered to **8k chars instead of 146k (4.8%

retention)** and looked completely fine.

The reliable path: run JavaScript *inside the user's logged-in page* and let

fetch inherit the session cookie, then render locally through the fidelity gate.

Step 0 — Choose an injection channel

Three channels can execute JS inside the user's page. They differ only in

plumbing, and each fails in its own way, so pick in this order and verify

rather than assume.

| Order | Channel | Use when | Fails when |

|-------|---------|----------|-----------|

| 1 | claude-in-chrome extension | list_connected_browsers returns a browser | Returns [] → the extension's claude.ai login ≠ the Claude Code account. This is structural — retrying, reinstalling, and switch_browser all fail. Move on immediately. |

| 2 | CDP (scripts/cdp_channel.py probe) | probe says available: true — then it is the best channel there is | Usually unavailable, and that is normal, not a malfunction — see below. Probe is cheap; believe its answer and move on. |

| 3 | AppleScript (macOS only) | The realistic fallback when the extension can't pair | See the routing trap below — check for it BEFORE blaming the user |

| ✗ | curl / WebFetch | never | Cloudflare 403. There is no header that fixes it. |

⚠️ Expect CDP to be unavailable, and never try to force it. Since Chrome 136

(April 2025) the debugging port is *ignored on the default user-data-dir* — a

deliberate hardening against malware that used CDP to steal cookies. You may still

find a listening socket and a stale DevToolsActivePort on disk while the

WebSocket handshake is never answered and /json/* returns 404.

And its availability flaps. Verified on Chrome 150, one machine, one browser

session: the endpoint worked, then stopped answering entirely, then answered again

— with no restart in between. So probe every time and never cache the verdict.

"CDP worked five minutes ago" is not evidence that it works now, and "CDP failed

once" is not evidence that this machine can't use it. The probe is cheap precisely

so you can afford to re-ask.

The trap is what you'll be tempted to do next. Every fix on the web says "relaunch

Chrome with --user-data-dir=/tmp/whatever". **For this skill that is worse than

useless: a fresh profile is signed out, and a signed-out browser cannot read a

single one of the user's conversations.** The session you need lives in precisely

the profile Chrome is refusing to expose. So probe, take the answer, and fall

back — never reconfigure or relaunch the user's browser to chase a port.

CDP *does* work when Chrome was deliberately started on a non-default

--user-data-dir and is signed into claude.ai. That happens, and when it does

this channel beats the others outright (no menu toggle, immune to the Apple Events

capture below, enumerates every tab, returns the whole payload on stdout). That is

why it is worth one cheap probe before falling through.

To try channel 1, load the extension's tools in a single ToolSearch call

(they are deferred; the API path needs no get_page_text / read_page):

ToolSearch: select:mcp__claude-in-chrome__tabs_context_mcp,mcp__claude-in-chrome__navigate,mcp__claude-in-chrome__javascript_tool

then call list_connected_browsers. An empty list is the account mismatch — go to

channel 2 rather than retrying.

To try channel 2:

uv run --with websockets python scripts/cdp_channel.py probe

probe answers three questions at once: is CDP available, is it pointed at the

user's *real* browser (page count, and any claude.ai tabs already open), and are

there multiple Chrome instances running. Its output drives everything below —

including the AppleScript decision, since the chrome_instances.automation list is

what tells you whether Apple Events will even reach the right browser.

Exit codes are a contract, so you never have to guess whether to fall back:

| code | meaning | what to do |

|------|---------|-----------|

| 0 | worked | continue |

| 1 | bad input (unreadable --js, etc.) | fix the call |

| 2 | TAB_NOT_FOUND | use open, or ask the user to open the page |

| 3 | CDP unusable | fall back to another channel — this is the normal outcome |

| 4 | the browser answered with an error | the command was wrong, or the tab vanished mid-call; falling back won't help |

Exit 3 still prints chrome_instances, because that part needs no debugging port.

It is a routing fact, not an error: read it, fall through to channel 3, and say

nothing to the user about debugging ports.

The AppleScript routing trap (read before you blame the user)

AppleScript addresses Chrome by *bundle id*. If a second Chrome instance is

running — chrome-devtools-mcp, puppeteer, playwright, anything launched with its

own --user-data-dir — Apple Events can land on that instance instead, and

macOS gives you no way to target the first one by pid. There is no workaround.

What makes this genuinely dangerous is how it *presents*: the automation profile

has "Allow JavaScript from Apple Events" switched off, so your JS attempt fails

with "Executing JavaScript through AppleScript is turned off" — and you will

conclude the user forgot a menu toggle, and go ask them to flip it, while their

real browser had it enabled the whole time. Observed exactly this: AppleScript

reported windows=1 tabs=1 while the user's actual Chrome had 35 tabs open.

So before falling back to AppleScript, run probe (or chrome_instances() from

cdp_channel.py) and read the automation list. If it is non-empty, say so

plainly — *"an automation Chrome is holding the Apple Events route, so

AppleScript will hit the wrong browser"* — and either use CDP, or ask whether

that instance can be closed. Do not relay a toggle error you cannot attribute.

Channel details and the base64 binary bridge: references/applescript_fallback_channel.md.

Step 1 — Identify the account case (this decides what you can even get)

**How much of the conversation exists for you to fetch depends on whose account

the browser is signed into.** Establish this early — it is the difference between

a complete archive and one with unrecoverable holes, and the user deserves to

know which they are getting *before* you hand it over.

| Case | Signal | What you can get |

|------|--------|------------------|

| A · Not signed in | /api/organizations returns no org | Nothing for /chat/ links. Stop and ask the user to sign into claude.ai in Chrome — never automate a login. |

| B · Signed in, conversation belongs to this account | GET .../chat_conversations/<conversation-id> returns 200 | Everything, including the content of uploaded attachments. Prefer this path whenever it is available. |

| C · Signed in, but it's someone else's share link | the conversation fetch 404s; the snapshot's creator ≠ this account | The snapshot only. The platform strips the arguments and results of every tool call that touched the sharer's uploads. Unrecoverable from that link. |

For a /share/… link, the snapshot payload itself tells you which case you're

in: it carries conversation_uuid (the original) and creator. So fetch the

snapshot first, then try the original with that conversation_uuid — if it

200s you are in case B and should re-export from there, because the snapshot is

strictly lossier. If it 404s, you are in case C: say so out loud, and let the

render step disclose the gaps in the transcript header (it does this on its own).

Case C's holes are real and worth naming precisely, because they look like a bug

in your export when they are not: a view of an uploaded file keeps its name but

loses its path and the file's entire content. The user's own copy of that file

is usually sitting on their disk — the export isn't broken, it just cannot speak

for a file the platform declined to share.

Step 2 — Open the conversation

Extension: tabs_context_mcp with { "createIfEmpty": true }, then navigate.

CDP: cdp_channel.py open --url <url> (reuses an existing tab; waits out the

Cloudflare interstitial, which the browser clears by itself).

Either way, confirm it actually loaded and is logged in — the tab title should be

the conversation's name, not "Log in". If you land on a login page, stop and tell

the user; do not automate a login.

Step 3 — Fetch the payload

Always request the full tool rendering. Without render_all_tools=true you

get placeholders where the analysis was (trap 3 above).

| Link type | Endpoint |

|-----------|----------|

| /chat/<conversation-id> | GET /api/organizations/<org-uuid>/chat_conversations/<conversation-id>?tree=True&rendering_mode=messages&render_all_tools=true |

| /share/<snapshot-id> | GET /api/chat_snapshots/<snapshot-id>?rendering_mode=messages&render_all_tools=true |

Note the share endpoint keys on the snapshot id from the URL, which is *not*

the conversation id — feeding a snapshot id to chat_conversations 404s, and that

404 means "wrong id", not "you lack access". Both id families are opaque; always

derive them from the open URL rather than hard-coding.

• Extension channel → run scripts/export_conversation.js

in the page (fire-and-poll instructions are in its header), then page out

window.__claudeExport.rawJson in ~16k .slice() windows.

• CDP channel → run scripts/fetch_cdp.js, which returns

the full conversation JSON directly as a Promise, so cdp_channel.py eval resolves

it in one call and streams the result to a file:

  uv run --with websockets python scripts/cdp_channel.py eval \
      --match <conversation-or-snapshot-id> --js scripts/fetch_cdp.js --out conversation.json

awaitPromise resolves the async fetch in one call, and the value comes back on

stdout, so a multi-megabyte payload never has to cross a context window.

• AppleScript channel → run scripts/export_conversation.js

via scripts/runjs.applescript, then poll and read out

window.__claudeExport.rawJson (fire-and-poll; see the channel reference).

For a plain chat with no tool calls, where you just need the text right now, the

inline snippet in references/claude-web-api-extraction.md

assembles a transcript in-page in a single call.

Step 4 — Render locally, through the fidelity gate

uv run python scripts/render_transcript.py conversation.json -o transcript.md \
    --source-url <url>

This handles both payload shapes (/chat/ and /share/), renders every tool

call, folds tool outputs into <details>, and collects web_search citations into

a "Sources cited" list.

It also refuses to write a lossy transcript. Before emitting anything it

audits every block — *this block carried N characters; did the renderer emit

anything at all for it?* — and exits 2 if any block carried text and produced

nothing. That is the trap-4 failure, and it is invisible without this check: the

markdown looks clean, the exit code is 0, and 95% of the conversation is gone.

The budget is measured off the raw payload, deliberately not through the

rendering path, because a gate that asks the parser how much there was to render

can only ever confirm the parser's own blind spots.

If it fails, it names the offending block and the command to inspect it: teach

result_item_text()/render_block() the new shape. Reach for --allow-lossy

only when you have consciously decided the loss is acceptable — it is almost

never the right answer, and it is never the right *first* answer.

Blocks the platform emptied (case C) are counted separately as a disclosed

gap, never as loss, and are announced in the transcript header. A clean run

prints its own accounting:

fidelity: 143,088/143,088 chars rendered (100.0%)
known gap: 12 tool blocks were emptied by the platform (view) — disclosed in the
           transcript header, NOT recoverable from a shared link

The gate audits per item, not per block — items are the granularity content

actually gets lost at, and a per-block check credited a whole block as rendered

whenever *any* part of it came out, so a vanished 38k-char item hid behind a

16-char sibling and scored 100%. It also covers what a content[]-only audit

structurally cannot see: message-level attachment bodies (a pasted document

lives there, not in a block), the top-level text, and messages the active-path

walk never reached. And a payload with nothing in it scores 0%, not 100% — an

empty fetch is the limit case of the very loss this gate exists for.

If you change the renderer, run the regression suite. Every case in it is a

shape that fooled a previous version of the gate:

uv run python scripts/selftest_fidelity.py

Output format and navigation (--toc)

The default output format is Obsidian because Obsidian's Live Preview does not

render HTML <details>, so the collapsible tool outputs, thinking, and file bodies

would otherwise land as flat noise. The default rewrites each <details> block as a

native > [!info]- collapsible callout:

uv run python scripts/render_transcript.py conversation.json -o transcript.md \
    --source-url <url> --toc

Use --format markdown if you need the older HTML <details> output instead.

The conversion runs only after the fidelity gate has passed on the <details>

markdown — it is a cosmetic post-pass that touches no payload string, so it can never

affect the retention proof (don't move it before the gate). --toc prepends a linked

table of contents and inserts per-message anchors (<a id="turn-N">) so long

conversations are navigable. --extract-file output is never reformatted.

Other modes, unchanged: --list-files inventories every downloadable file with

the endpoint family each needs; --extract-file <sandbox-path> reconstructs a

sandbox-created file by replaying its create_file plus every later

str_replace, and refuses to emit anything if a replacement is missing or

ambiguous rather than handing back stale content.

Step 5 — Paging (extension channel only)

javascript_tool truncates large return values. Fetch the chars count first,

then re-run returning later windows — keep the fetch identical and change only

the final expression:

transcript.slice(14000, 32000);   // then (32000, 50000) … until you've covered `chars`

Prefer ~14–18k windows; larger risks hitting the limit again. **The CDP and

AppleScript channels don't need any of this** — both return the whole payload on

stdout, which is a good reason to prefer them for a large archival export.

Gotchas

• sender values are 'human' and 'assistant' (not 'user'/'claude').
• A message can have m.text AND m.content[] at the same time. Agent turns

often carry the final answer in m.text plus thinking/tool_use/tool_result

blocks in content[]. Build from content[] first and fold in m.text — never

m.text || (content…), which short-circuits and drops every block whenever

m.text is set. If a message renders blank, inspect one raw:

Object.keys(msgs[0]) and msgs[0].content?.map(b => b.type).

• A /share/ payload is shaped differently from /chat/. name is null (the

title is in snapshot_name); web_search results are knowledge items

(title/url/text), not text items; and citations hang off the text

blocks. The bundled renderer handles all three — a hand-rolled one usually

doesn't, which is trap 4.

• Empty input: {} / content: [] on a tool block is not a bug — on a share

snapshot it is the platform withholding the sharer's private file contents. Say

so; don't render it as a mysterious no-op, and don't count it as data loss.

• **If rendering_mode=raw returns empty or short bodies, retry with

rendering_mode=messages.** The two expose slightly different fields.

• The conversation's files are downloadable too — uploads, and the deliverables

behind Download cards. Two endpoint families, keyed differently (images by uuid;

uploads/outputs by sandbox path via conversations/<id>/wiggle/download-file).

uuid-guessing 404s for uploads, which looks like — but is not — "unsupported".

scripts/download_files.js inventories the

conversation and pulls each through the right endpoint. Don't conclude anything

is unavailable before trying it.

• tree=True returns the whole tree, including branches abandoned by edits and

regenerations. Walk the active path from current_leaf_message_uuid via

parent_message_uuid so dead branches don't leak into the transcript or inflate

the message count. The renderer does this and falls back to array order when

those fields are absent (correct for single-chain conversations, and for share

snapshots, which are already linear).

• Multiple organizations: orgs[0] may be the wrong one. If a conversation

404s, list them — orgs.map(o => ({uuid: o.uuid, name: o.name})) — and loop the

fetch across orgs before concluding it's inaccessible.

• Just read — don't click. This skill never needs to touch the conversation UI;

avoid triggering navigation or dialogs mid-fetch.

• Never relaunch the user's browser to open a debugging port. Beyond the usual

reason (it's their browser, not yours), it is self-defeating here: Chrome only

honours the port on a *non-default* profile, and a fresh profile is **signed

out** — so the browser you just launched cannot read any of their conversations.

You would be trading the session you need for a port you don't. An unavailable

port is a fact to route around, not a setting to change.

Full endpoint table, response schema field-by-field, the complete export script,

and a troubleshooting table: references/claude-web-api-extraction.md.

Next Step

Once you have the transcript, suggest the natural follow-up — opt-in, never

automatic:

Got the full conversation (<N> messages, "<title>", <retention>% fidelity).

Options:
A) Clean it up — run transcript-fixer if it's ASR/garbled (only if relevant)
B) Summarize / extract the decisions and action items
C) Save it to a file — tell me where
D) Download the conversation's files (uploads / deliverables / charts) — **done by default if files exist**
E) Nothing else — you just needed it read

If the transcript showed file activity, start with D; the text export alone is not

a complete archive.

Download the conversation's files

Use scripts/download_files.js to inventory and pull

every upload, assistant image, and sandbox deliverable through the correct

endpoint family. It is fire-and-poll; for CDP or AppleScript, run it, poll

window.__dlStatus, then read each entry from window.__dl as base64:

# 1. Fire the inventory/download step
osascript scripts/runjs.applescript scripts/download_files.js <conversation-id>

# 2. Poll until status is no longer 'pending'
#    (after a few seconds, run a one-liner that returns window.__dlStatus)

# 3. Extract one file (repeat for each)
echo "window.__dl['filename.pptx']" > /tmp/read_one.js
osascript scripts/runjs.applescript /tmp/read_one.js <conversation-id> \
  2>/dev/null | tr -d '\n' | base64 -d > filename.pptx

Verify each file with file <name> and compare its byte size against the

metadata in the conversation JSON (files[].size_bytes for uploads; the

status line from download_files.js for deliverables).