Instagram Saved Posts Pipeline

End-to-end pipeline: sync saved posts from Instagram's API, download media, and extract searchable text (Whisper transcription + OCR). Works with just Chrome cookies — no archive download or separate login needed.

The pipeline code is bundled with this skill in the scripts/ directory — no external package needed.

Prerequisites

Python 3.10+ with venv module
User logged into Instagram in Chrome (cookie-based API auth)
For extraction: macOS with Apple Silicon (for lightning-whisper-mlx and ocrmac)

Setup

Step 0: Locate the bundled scripts

# Find the skill's scripts directory (works for both plugin and manual installs)
SCRIPTS_DIR=$(find ~/.claude -path '*/instagram-pipeline/scripts' -type d 2>/dev/null | head -1)

# Fallback: search in common locations
if [ -z "$SCRIPTS_DIR" ]; then
    SCRIPTS_DIR=$(find ~/Claude\ Code\ Projects -path '*/instagram-pipeline/scripts' -type d 2>/dev/null | head -1)
fi

echo "Scripts: $SCRIPTS_DIR"

If SCRIPTS_DIR is empty, the skill isn't installed. Install with:

claude plugin add simonstrumse/vibelabs-skills

Step 1: Create venv and install (first time only)

# Option A: Use the setup script
bash "$SCRIPTS_DIR/setup.sh"                # Core (sync + download)
bash "$SCRIPTS_DIR/setup.sh" --extract      # Core + Whisper + OCR

# Option B: Manual setup
python3 -m venv .venv
.venv/bin/pip install -e "$SCRIPTS_DIR"                               # Core
.venv/bin/pip install -r "$SCRIPTS_DIR/requirements-extract.txt"      # Extraction (optional)

Step 2: Set variables

PROJECT_DIR=$(pwd)
VENV="$PROJECT_DIR/.venv/bin/python3"
DATA_FILE="$PROJECT_DIR/data/instagram/saved_posts.json"

Verify these exist before proceeding.

Pipeline Overview

Step	Command	What it does	Rate
1. Sync	`api_bootstrap sync`	Fetches all saved posts + collection tags from API	~260 posts/min
2. Media	`api_bootstrap sync` (default)	Downloads images/videos in parallel	4 concurrent threads
3. Extract	`media_extractor run`	Whisper large-v3 audio + ocrmac OCR	~2.8 posts/min

Steps 1-2 happen together in a single sync command. Step 3 runs separately on downloaded media.

Workflow

Step 0: Parse intent

If $ARGUMENTS is status or empty → show status only (Step 1), don't run anything
If $ARGUMENTS is collections → list collections from API, don't run anything
Otherwise → treat $ARGUMENTS as collection name and run the full pipeline (Steps 1-4)

Step 1: Show current status

If a data file exists, show enrichment and extraction progress:

SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -c "
from socmed.config import DATA_FILES
from socmed.storage.json_store import JsonStore
from collections import Counter
store = JsonStore(DATA_FILES['instagram']['saved_posts'])
posts = store.read()
enriched = sum(1 for p in posts if p.get('source') == 'archive+api')
pending = sum(1 for p in posts if p.get('source') == 'archive')
extracted = sum(1 for p in posts if p.get('extracted_text'))
with_media = sum(1 for p in posts if any(m.get('local_path') for m in p.get('media', [])))
print(f'Total: {len(posts)}')
print(f'Enriched: {enriched} ({enriched*100//len(posts) if posts else 0}%)')
print(f'Pending enrichment: {pending}')
print(f'With local media: {with_media}')
print(f'Extracted (Whisper+OCR): {extracted}')
cols = Counter()
for p in posts:
    for c in p.get('collections', []):
        cols[c] += 1
print(f'\nCollections ({len(cols)}):')
for name, count in cols.most_common(15):
    ext = sum(1 for p in posts if c in p.get('collections',[]) and p.get('extracted_text'))
    print(f'  {name}: {count}')
"

If no data file exists, proceed directly to Step 2 (first-time sync). If the user only asked for status, stop here.

Step 2: Sync saved posts from API

This fetches all saved posts directly from Instagram's API. Posts arrive fully enriched — captions, author info, media URLs, timestamps, engagement counts, and collection tags. No separate enrichment step needed.

# Sync all saved posts (with media download)
PYTHONUNBUFFERED=1 SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.api_bootstrap sync

# Or sync a specific collection only
PYTHONUNBUFFERED=1 SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.api_bootstrap sync --collection "$ARGUMENTS"

# Metadata only (skip media download for speed)
PYTHONUNBUFFERED=1 SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.api_bootstrap sync --no-media

Run as a background task. Monitor output:

Lists all collections with post counts
Shows existing posts in store (for dedup)
Progress: Fetched N posts (M pages)...
21 posts per page, ~2s between pages, ~260 posts/min
Zero errors is normal — this is a lightweight read-only API
~35-45 min for 12k posts (metadata), longer with media download
Deduplicates by shortcode — safe to run repeatedly, only adds new posts

Wait for completion. Report the summary to the user.

To list collections without syncing:

SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.api_bootstrap collections

To compare API vs local store:

SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.api_bootstrap stats

Step 3: Run extraction (if needed)

Only run if posts have local media but no extracted_text field. Sync with media download must complete first since extraction needs local files.

PYTHONUNBUFFERED=1 SOCMED_DATA_DIR="$PROJECT_DIR" $VENV -m socmed.platforms.instagram.media_extractor run --collection "$ARGUMENTS" --save-every 10

Run as a background task. Monitor output:

A = audio+OCR, a = audio only, T = OCR only, . = no extractable content
Rate is ~2.8 posts/min (Whisper transcription is the bottleneck)
MallocStackLogging warnings from ffmpeg subprocesses are harmless — ignore them

Wait for completion. Report the final summary.

Step 4: Verify results

Re-run the status snippet from Step 1 to confirm:

All posts synced (compare with API collection counts)
Extraction coverage (~97% typical — some posts have no media)

Report the final state to the user.

How it works

Chrome cookies — Reads sessionid, csrftoken, etc. from Chrome's cookie database (via browser_cookie3). No login flow needed — if you're logged into Instagram in Chrome, it just works.
Collections list — Calls /api/v1/collections/list/ to get collection names, IDs, and post counts. Each collection has a numeric ID (e.g., 17879393448155930).
Saved feed pagination — Calls /api/v1/feed/saved/posts/ with cursor-based pagination. Returns 21 posts per page. Each post includes a saved_collection_ids array that maps back to collection names.
Pre-enriched data — Unlike an archive download (which gives bare shortcodes), the saved feed returns full post data: caption, author, media URLs, timestamps, engagement counts. Posts go straight into the store as source: "archive+api".
Media download — CDN URLs from the API response are downloaded in parallel (4 threads). Files saved to data/media/instagram/{username}/{shortcode}_{hash}.{ext}.
Text extraction — Whisper large-v3 transcribes video audio, ocrmac OCR reads text from video frames and images. Results stored in extracted_text field per post.

Operational notes

Idempotent — Sync deduplicates by shortcode. Run it daily/weekly to catch new saved posts.
Concurrent safety — Extraction uses JsonStore.patch_items() with file locking. Safe to run while sync is updating.
Resumable — All steps skip already-processed items. Safe to interrupt (Ctrl+C) and restart.
Sleep-safe — macOS pauses background processes during sleep; they resume automatically.
Always use PYTHONUNBUFFERED=1 for background tasks so output streams in real-time.
Data directory — Set SOCMED_DATA_DIR to control where data is stored. Defaults to current working directory.

Troubleshooting

"No module named 'socmed'"

The virtual environment doesn't have the bundled package installed. Run setup:

SCRIPTS_DIR=$(find ~/.claude -path '*/instagram-pipeline/scripts' -type d 2>/dev/null | head -1)
.venv/bin/pip install -e "$SCRIPTS_DIR"

Sync returns no posts

User needs to be logged into Instagram in Chrome. Have them open instagram.com, verify they're logged in, then retry.

"useragent mismatch" errors

Some Instagram API endpoints are strict about User-Agent. The sync endpoint (/api/v1/feed/saved/posts/) does not have this issue. If you see this, you may be calling the wrong endpoint.

Extraction seems stuck

A corrupted video file can hang ffmpeg. Kill the process — the pipeline resumes from the last save point (every 10 posts).

Need to re-download media

Media CDN URLs expire. Run sync again — it will re-fetch fresh URLs and download missing media files.

browser_cookie3 fails on macOS

Grant Terminal (or your IDE) "Full Disk Access" in System Settings > Privacy & Security > Full Disk Access. Chrome's cookie database is in a protected directory.