#1 Searched Person on Google 2026?
A standalone Polymarket other event with 93 markets and $204.3K in lifetime traded volume. 46 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 10, 2026.
Data as of 2026-09-11
Top 5 of 93 markets
Will Erling Haaland be the #1 searched person on Google this year?
closes 2026-12-31 · volume $63.0K · last price 17.5%
Will Lindsay Clancy be the #1 searched person on Google this year?
closes 2026-12-31 · volume $5 · last price 15.5%
Will Bad Bunny be the #1 searched person on Google this year?
closes 2026-12-31 · volume $29.0K · last price 10.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="#1 Searched Person on Google 2026", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "#1 Searched Person on Google 2026"?
93 markets with full depth L2 order book history recorded since September 10, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "#1 Searched Person on Google 2026" traded on Polymarket?
$204.3K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "#1 Searched Person on Google 2026" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "#1 Searched Person on Google 2026", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 25M rows per day.
Related events: Which companies will be acquired before 2027?, Iran full airspace closure by...?, Will GameStop acquire eBay?, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens