Berlin State Elections: Grüne # of seats?
A standalone Polymarket politics event with 7 markets and $36.0K in lifetime traded volume. 7 markets are trading. Marketlens records every market's order book at full depth, coverage running since September 12, 2026.
Data as of 2026-09-14
Top 5 of 7 markets
Will Grüne win 25-29 seats in the 2026 Berlin state elections?
closes 2026-09-20 · volume $5.8K · last price 35.5%
Will Grüne win 30-34 seats in the 2026 Berlin state elections?
closes 2026-09-20 · volume $7.8K · last price 28.5%
Will Grüne win 20-24 seats in the 2026 Berlin state elections?
closes 2026-09-20 · volume $6.2K · last price 15.5%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Berlin State Elections: Grüne # of seats", 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 "Berlin State Elections: Grüne # of seats"?
7 markets with full depth L2 order book history recorded since September 12, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Berlin State Elections: Grüne # of seats" traded on Polymarket?
$36.0K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Berlin State Elections: Grüne # of seats" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Berlin State Elections: Grüne # of seats", 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