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+# Google Trends + Glimpse — Scraping & Trend Extraction
+
+Two layers on `trends.google.com`: **raw Google Trends** (relative 0-100 index — Google's real data) and the **Glimpse** browser extension (paid) which overlays *modeled absolute monthly volume*, YoY growth, related-with-growth, breakout discovery, alerts, and CSV export. If Glimpse is installed in the connected Chrome, its data renders automatically — no separate site.
+
+## URL patterns (explore)
+
+- Single term: `https://trends.google.com/trends/explore?date=today%205-y&geo=US&q=<urlenc>`
+- Compare (≤5 terms, one normalized axis): `...&q=term1,term2,term3` (comma-separated, each URL-encoded)
+- Time window via `date=`: `today%205-y` (5y), `today%2012-m` (12mo), **`all`** (2004→present — best for structural breaks), `now%207-d`, or custom `YYYY-MM-DD%20YYYY-MM-DD`
+- Geo via `geo=`: `US`, `GB`, … ; **omit `geo` entirely for Worldwide**
+- Property: `&gprop=youtube|news|images|froogle`; category: `&cat=<id>`
+
+## Glimpse overlay — detect & time it
+
+- When Glimpse injects, the **tab title gains a " - Glimpse" suffix** — cheap "is it active?" check via `page_info()["title"]`.
+- Glimpse fetches its volume model *after* the Trends chart paints. `wait_for_load()` is NOT enough — add `wait(5)`–`wait(7)`, or poll until the volume text appears.
+
+## Extraction (single term, from innerText)
+
+```python
+EXTRACT = r'''
+const out={};
+let txt=document.body.innerText.replace(/[−–—]/g,'-');           // normalize unicode minus FIRST
+let m=txt.match(/([\d.]+\s*[KMB])\s+searches past month/i);
+out.volume=m?m[1].replace(/\s+/g,''):(/Undetermined volume/i.test(txt)?'undet':null);
+m=txt.match(/(-?\d+(?:\.\d+)?)%\s*past year/i); out.yoy=m?(m[1]+'%'):null;  // -? captures DOWN terms
+out.dir=null;
+if(out.yoy){ out.dir=out.yoy.startsWith('-')?'down':'up';
+  const leaf=[...document.querySelectorAll('*')].find(e=>e.children.length===0 && e.textContent.trim().replace('−','-')===out.yoy);
+  if(leaf){const c=getComputedStyle(leaf).color;const mm=c.match(/\d+/g);
+    if(mm){const r=+mm[0],g=+mm[1];out.color=(r>g+15)?'red':(g>r+15)?'green':'gray';}}}
+return out;
+'''
+data = js(EXTRACT)   # -> {volume:'44K', yoy:'50%', dir:'up', color:'green'}
+```
+
+- Poll: loop `wait(1.2); js(EXTRACT)` up to ~12× until `volume` or `yoy` is non-null.
+- **Direction = sign AND color.** Green `rgb(118,191,80)` = up, red = down. The percent is rendered *unsigned* in some views, so the unicode-minus normalization + color check are BOTH needed — a naive `\d+%` silently misreads down-terms as up.
+- Low-volume terms render **"Undetermined volume"** (no absolute estimate) but still show a YoY trajectory; down-terms frequently have no absolute volume at all.
+
+## Glimpse features worth scripting
+
+- **People Also Search**: related queries sortable by Search Volume, each with a growth bar — rising-related discovery for a seed term (channel switch: Google / YouTube / Amazon).
+- **Discover Trends** (top nav): category → drill-down table *Keyword / Graph-5Y / Growth-YoY / Search Volume*, paginated, + **Download CSV**. Surfaces breakout terms you didn't guess. Click a category by matching its row text+count; results **lazy-load (~9s)** — wait before reading innerText. Row text parses as repeating `keyword \n "Get Alerts" \n "N%"`.
+- **Get Alerts**: one click opens a "Tracking" popover with **Auto pre-checked + ✓ Saved** — i.e. one click == a saved auto-alert on significant movement. The "Saved" text lags ~1-2s; verify via the button flipping to "✓ Tracking", not an immediate innerText check.
+- **Export Data**: CSV of the monthly series (highest fidelity; needs download handling).
+
+## Traps
+
+- **Glimpse absolute volume is a MODEL, not ground truth** — independent verification rates its absolute-volume accuracy as unreliable. Trust *relative shape, direction, head-to-head*; treat absolute numbers as rough.
+- **Raw Trends is a relative 0-100 index** (each point ÷ the term's own peak) — never absolute. **Compare mode normalizes ALL terms to the single highest peak**, so a high-volume term visually crushes low-volume ones — only compare terms of similar magnitude.
+- **Reuse one controlled tab + loop `goto_url`** (Page.navigate forces a fresh load and re-triggers Glimpse) rather than `new_tab` per query — no tab clutter, never touches the user's tabs.
+- The chart is **not recharts and exposes no JSON / `__react*` props** — the monthly series isn't cleanly in the DOM (SVG path only). For exact numbers use Export Data CSV; for shape, screenshot.
+- The Glimpse nav's **"Discover Trends" / "Tracking Dashboard" are overlays**, not URL routes — click the nav `div` by exact text; "Tracking Dashboard" can be finicky to trigger.
diff --git a/domain-skills/reddit/scraping.md b/domain-skills/reddit/scraping.md
index 82ea0fd0..acaf435b 100644
--- a/domain-skills/reddit/scraping.md
+++ b/domain-skills/reddit/scraping.md
@@ -29,6 +29,21 @@ Fails on:
 - Private / quarantined subreddits (401)
 - NSFW posts without an authenticated session
 - Anti-scraping 429s under load — back off or switch to the browser path
+- **`http_get()` against `www.reddit.com/.json` now returns `403 Blocked`** (datacenter-IP block), even with a browser `User-Agent`. A same-origin `fetch()` from a `www.reddit.com` tab also returns an HTML block page. **Fix: use `old.reddit.com`** — navigate a tab there, then same-origin `fetch()` the `.json` endpoints (served with the user's cookies, not blocked).
+
+### Listing endpoints (discover concerns / mine a sub, not just one post)
+
+```python
+# on an old.reddit.com tab — same-origin fetch dodges the datacenter block
+goto_url("https://old.reddit.com/"); wait_for_load(); wait(2)
+# /r/<sub>/{top,hot,new,controversial}.json?limit=100&t={hour,day,week,month,year,all}
+expr = ('fetch("/r/ExperiencedDevs/top.json?limit=100&t=year",{headers:{Accept:"application/json"}})'
+        '.then(r=>r.json()).then(j=>JSON.stringify(j.data.children.map(c=>('
+        '{t:c.data.title,s:c.data.score,c:c.data.num_comments,f:c.data.link_flair_text||"",self:(c.data.selftext||"").slice(0,600),id:c.data.id}))))')
+posts = json.loads(js(expr))   # note: avoid the word "return" in js() expressions using await/promises — it triggers a sync-IIFE wrap that breaks top-level await; use .then() chains instead
+```
+
+Rank by `num_comments` (engagement = nerve hit). To fan out over many subs/sorts in one `js()` call, wrap the per-URL fetches in `Promise.all([...].map(u => fetch(u)...)).then(a=>JSON.stringify(a))` — all arrow/implicit-return, no `return` keyword.
 
 ## Path 2: Browser DOM extraction (logged-in)