Collect posts with Content Harvest

Build a bounded cross-platform dataset of posts for keywords or hashtags, with count, ordering, transcripts, and safe-search controls.

Where: Flowgen → Add → Research → Content Harvest

Key ideas

Bounded collection: Choose 25, 50, 100, or 250 items per platform and sort by Top or Recent instead of requesting an undefined scrape.
Transcript-aware video research: Include transcripts appears only when a selected video platform supports transcript collection and is marked as an add-on.
Dataset output: Collected rows retain post metadata and can include captions, transcripts, publish time, duration, and engagement fields when available.
Content Harvest card: ContentHarvestNode uses the generic shared-card path. Collect a bounded dataset of posts by keyword/hashtag across selected platforms.
Properties sidebar: researchNodes.tsx
Opened surfaces: Structured result preview

Enter keywords or hashtags and choose only the platforms relevant to the brief.
Set the per-platform count and choose Top for proven examples or Recent for current material.
Keep Safe search on unless the research explicitly requires a broader set; enable transcripts only when spoken content matters.
Run, inspect several raw rows for relevance, then connect the dataset to Hook Miner, Performance Insights, Ask the Data, or Brain.

Add path: Flowgen → Add → Research & Insights → Content Harvest.
Card: ContentHarvestNode.
Properties: researchNodes.tsx.
Controls: Platforms; 25/50/100/250 per platform; Top/Recent; transcripts; Safe search; save dataset.
Opened surfaces: Structured result preview.

Test 25 items per platform before scaling to 250.
Keep the query focused enough that Top and Recent still describe the same subject.

Transcript availability depends on the selected platform and item.
Metrics are snapshots supplied by sources and may be incomplete or change later.

Use more specific keyword phrases, remove irrelevant platforms, and validate a smaller run before increasing the count.