Who will Trump pick as the next Press Secretary?
A standalone Polymarket politics event with 34 markets and $28.7K in lifetime traded volume. 15 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 17, 2026.
Data as of 2026-08-24
Top 5 markets by volume
Will Scott Jennings be the next White House Press Secretary?
closes 2026-12-31 · volume $18.3K · last price 19.0%
Will Anna Kelly be the next White House Press Secretary?
closes 2026-12-31 · volume $6.7K · last price 26.5%
Will Tricia McLaughlin be the next White House Press Secretary?
closes 2026-12-31 · volume $778 · last price 0.65%
Will Katie Pavlich be the next White House Press Secretary?
closes 2026-12-31 · volume $428 · last price 0.70%
Will Kush Desai be the next White House Press Secretary?
closes 2026-12-31 · volume $368 · last price 0.15%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Who will Trump pick as the next Press Secretary", 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 "Who will Trump pick as the next Press Secretary"?
34 markets with full depth L2 order book history recorded since August 17, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Who will Trump pick as the next Press Secretary" traded on Polymarket?
$28.7K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Who will Trump pick as the next Press Secretary" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Who will Trump pick as the next Press Secretary", 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, Republican Presidential Nominee 2028, Presidential Election Winner 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