Taipei Mayor Election Winner
A standalone Polymarket politics event with 30 markets and $49.6K in lifetime traded volume. 3 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 13, 2026.
Data as of 2026-09-14
Top 3 of 30 markets
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Taipei Mayor Election Winner", 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 "Taipei Mayor Election Winner"?
30 markets with full depth L2 order book history recorded since September 13, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Taipei Mayor Election Winner" traded on Polymarket?
$49.6K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Taipei Mayor Election Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Taipei Mayor Election Winner", 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: Democratic Presidential Nominee 2028, Presidential Election Winner 2028, Republican Presidential Nominee 2028, 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