docs: add README, CLAUDE.md, and anonymised profiles.txt for public release

CLAUDE.md

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+# Instagram Scraper — Agent Context
+
+## What this project is
+
+A Playwright-based Instagram scraper. Reads `profiles.txt`, visits each profile in a real Chromium browser, scrapes the last N posts, and writes `output.csv` + `output.md`.
+
+## How to run
+
+```bash
+uv run python scraper.py        # run the scraper
+uv run pytest tests/ -v         # run unit tests
+uv run playwright install chromium  # install browser (first time only)
+```
+
+Always use `uv run` — never `python` directly or `pip`.
+
+## Key files
+
+| File | Purpose |
+|---|---|
+| `scraper.py` | All logic: auth, profile scraping, post scraping, output |
+| `profiles.txt` | Input: one Instagram URL per line |
+| `auth_state.json` | Saved Playwright session (gitignored, created on first run) |
+| `output.csv` | Scraped results (gitignored) |
+| `output.md` | Scraped results in Markdown (gitignored) |
+| `tests/test_parsers.py` | Unit tests for pure parsing functions |
+
+## Architecture
+
+Single script, no framework. Key functions in `scraper.py`:
+
+- `extract_hashtags(text)` / `extract_mentions(text)` — pure regex, fully tested
+- `profile_slug_from_url(url)` — extracts username from URL
+- `read_profiles()` — reads `profiles.txt`, strips line number prefixes
+- `is_logged_in(page)` / `ensure_authenticated(browser)` — session management
+- `get_post_urls(page, profile_url)` — collects post links from profile grid
+- `scrape_post(page, post_url, profile_slug)` — extracts all fields from a post
+- `write_csv(posts)` / `write_markdown(posts)` — output writers
+- `main()` — orchestrates everything
+
+## Output fields
+
+`profile`, `post_url`, `date` (ISO 8601), `caption`, `likes`, `image_urls` (comma-separated CDN URLs), `hashtags`, `mentions`, `location`, `media_type` (photo/video/carousel)
+
+## DOM selectors (verified against live Instagram)
+
+Instagram uses atomic CSS — class names change. These structural selectors are stable:
+
+- **Post grid links**: `a[href*="/p/"]`
+- **Date**: `time[datetime]` → `.get_attribute('datetime')` (first element = post date)
+- **Caption**: JS tree walker over text nodes in `section` containing a link to the profile slug; filter `len > 20`, skip relative times
+- **Likes**: First `span` with purely numeric text
+- **Images**: JS `img[src*="cdninstagram"]` filtered by `width > 100` and excluding `/s150x150/`
+- **Carousel**: `button[aria-label="Next"]` exists
+- **Video**: `video` element exists
+- **Location**: `a[href*="/explore/locations/"]` — filter out text "Locations" (footer link)
+
+## Auth flow
+
+1. Check for `auth_state.json` → load with `browser.new_context(storage_state=...)`
+2. If missing or expired → open visible browser, wait for user to log in manually, save with `context.storage_state(path="auth_state.json")`
+
+## Modifying behaviour
+
+- Change number of posts: edit `POSTS_PER_PROFILE` constant at top of `scraper.py`
+- Change input/output paths: edit `PROFILES_FILE`, `OUTPUT_CSV`, `OUTPUT_MD` constants
+- To re-authenticate: delete `auth_state.json` and re-run
+
+## Testing policy
+
+Pure functions (`extract_hashtags`, `extract_mentions`, `profile_slug_from_url`, `read_profiles`) have unit tests. Browser functions are tested end-to-end only — do not mock the browser.
+
+## Dependencies
+
+- `playwright>=1.40.0` — browser automation
+- `pytest>=7.0.0` (dev) — test runner
+- Standard library only: `re`, `csv`, `sys`, `pathlib`, `itertools`

README.md

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+# Instagram Profile Scraper
+
+Scrapes the last N posts from a list of Instagram profiles and saves the results as CSV and Markdown. Uses Playwright with a real authenticated browser session — no API keys required.
+
+## What it does
+
+1. Reads a list of Instagram profile URLs from `profiles.txt`
+2. Opens a Chromium browser (visible, non-headless)
+3. On first run: prompts you to log in manually, then saves the session to `auth_state.json`
+4. On subsequent runs: reuses the saved session automatically
+5. Visits each profile, collects the last 5 post URLs
+6. Visits each post and extracts: date, caption, likes, image URLs, hashtags, mentions, location, media type
+7. Writes combined results to `output.csv` and `output.md`
+
+## Setup
+
+Requires Python 3.11+ and [uv](https://docs.astral.sh/uv/).
+
+```bash
+git clone <repo-url>
+cd instagram-scraper
+uv sync
+uv run playwright install chromium
+```
+
+## Configuration
+
+**`profiles.txt`** — one Instagram profile URL per line. Lines can optionally be prefixed with a number and tab (the scraper strips them):
+
+```
+https://www.instagram.com/username1/
+https://www.instagram.com/username2/
+https://www.instagram.com/username3/
+```
+
+**Constants in `scraper.py`** (edit directly):
+
+| Constant | Default | Description |
+|---|---|---|
+| `POSTS_PER_PROFILE` | `5` | How many posts to scrape per profile |
+| `PROFILES_FILE` | `profiles.txt` | Input file path |
+| `OUTPUT_CSV` | `output.csv` | CSV output path |
+| `OUTPUT_MD` | `output.md` | Markdown output path |
+
+## Usage
+
+```bash
+uv run python scraper.py
+```
+
+On first run, a Chromium window opens. Log in to Instagram, then press Enter in the terminal. The session is saved to `auth_state.json` and reused on future runs.
+
+If Instagram logs you out, delete `auth_state.json` and run again.
+
+## Output
+
+### CSV (`output.csv`)
+
+One row per post with these columns:
+
+| Column | Description |
+|---|---|
+| `profile` | Instagram username |
+| `post_url` | Full URL of the post |
+| `date` | ISO 8601 datetime (e.g. `2026-02-23T15:28:13.000Z`) |
+| `caption` | Full post caption text |
+| `likes` | Like count (as displayed) |
+| `image_urls` | Comma-separated CDN image URLs |
+| `hashtags` | Comma-separated hashtags from caption |
+| `mentions` | Comma-separated @mentions from caption |
+| `location` | Location tag text (empty if none) |
+| `media_type` | `photo`, `video`, or `carousel` |
+
+### Markdown (`output.md`)
+
+Same data, grouped by profile. Each post is a section with all fields as a bullet list.
+
+## Error handling
+
+- Private or unavailable profiles: skipped with a warning, scraping continues
+- Individual post failures: skipped with a warning, scraping continues
+- Missing fields: stored as empty string, no crash
+- Keyboard interrupt (Ctrl+C): saves whatever has been collected so far
+
+## Files
+
+```
+instagram-scraper/
+├── scraper.py        # main script
+├── profiles.txt      # input: list of profile URLs
+├── pyproject.toml    # project metadata and dependencies
+├── tests/
+│   └── test_parsers.py  # unit tests for parsing functions
+├── auth_state.json   # saved session (created on first run, gitignored)
+├── output.csv        # results (gitignored)
+└── output.md         # results (gitignored)
+```
+
+## Running tests
+
+```bash
+uv run pytest tests/ -v
+```
+
+## Notes
+
+- Works with public profiles. Private profiles are skipped.
+- Instagram rate-limits aggressive scraping. The script adds a 1.5s wait between post requests.
+- Session cookies expire periodically. Delete `auth_state.json` to re-authenticate.
+- Image URLs are CDN URLs that expire after some time — download them promptly if needed.

profiles.txt

@@ -1,5 +1,3 @@
-https://www.instagram.com/licmuunisul/
+https://www.instagram.com/username1/
-https://www.instagram.com/ligamiunisulpb/
+https://www.instagram.com/username2/
-https://www.instagram.com/lipracunisul/
+https://www.instagram.com/username3/
-https://www.instagram.com/liaphunisul/
-https://www.instagram.com/lipali.unisul/