- Analyze 16 posts at a time by default, up from 4. A run of 50 posts takes
about half the time.
analysis.concurrency still accepts 1 through 16.
- Add the
texts input. The Actor analyzes your own texts & fetches nothing
from X for them. Each analyzed text costs the same as an analyzed tweet.
- Run every source of a mixed input: lists, tweet IDs & searches share
maxItems. Earlier the first source ran alone.
- Accept 16 more field names from other tweet Actors, such as
sort,
tweetLanguage, author, start & end.
- Every row lists
cashtags; change tracking holds decisions through near-tie
jitter (comparison rule decision:3).
- Summary gains per-target answer splits, per-cashtag signal scores, linked
source domain counts & monitor change counts; every row lists
sourceDomains.
- Compare with an earlier run through
monitor.baselineDatasetId: every row
reports first_run, new_to_baseline, unchanged or changed with the
decisions that moved.
- Run summary in the
analysis-summary key-value record & the run report:
per-question splits, engagement-weighted shares, top tweets per category,
target mentions & cashtag counts.
- Flat
answers map on every row & a Flat answers dataset view for
spreadsheet exports.
- Add the
sentiment default questions & original tweet retention.
- Reuse filtered extraction & durable successful-analysis billing.
- Add input, result & diagnostic schemas.
- Restructure the README to Apify's recommended section order.
Live qualification & publication remain pending.