Automate Database Name, Number & Email Extraction

I have script. I just need someone to run it following these instructions:

## 1. Python Environment Setup

You’ll need *Python 3.9+* (preferably 3.10 or higher).
Check:

⁠ bash
python --version
 ⁠

If not installed:

•⁠ ⁠[Download Python](https://www.python.org/downloads/) or install via your package manager.

Create a *virtual environment* (recommended):

⁠ bash
python -m venv venv
source venv/bin/activate # macOS/Linux
venv\Scripts\activate # Windows
 ⁠

---

## 2. Install Dependencies

Since this script uses:

•⁠ ⁠Async HTTP requests (likely ⁠ aiohttp ⁠)
•⁠ ⁠Data storage (maybe ⁠ sqlite3 ⁠ or ⁠ aiosqlite ⁠)
•⁠ ⁠Possibly ⁠ argparse ⁠ for command-line arguments
•⁠ ⁠The Google Places API (via HTTP requests)

Your ⁠ requirements.txt ⁠ should include at least:

⁠ txt
aiohttp
aiosqlite
requests
python-dotenv # if environment variables are used
 ⁠

Then install them:

⁠ bash
pip install -r requirements.txt
 ⁠

—or manually:

⁠ bash
pip install aiohttp aiosqlite requests python-dotenv
 ⁠

---

## 3. Google Places API Key (Optional)

The script checks:

⁠ python
if not mobile_found and args.google_places_key:
 ⁠

That means you can optionally supply a *Google Places API key* to enrich missing mobile data.

To get one:

1.⁠ ⁠Go to [Google Cloud Console](https://console.cloud.google.com/)
2.⁠ ⁠Enable the *Places API*
3.⁠ ⁠Create an *API key*
4.⁠ ⁠Pass it to your script via command line, e.g.:

⁠ bash
python advanced_tile_grout_extractor_google_email_fallback.py \
--google_places_key YOUR_API_KEY
 ⁠

---

## 4. Database Configuration

The line:

⁠ python
await save_listing(db, rec)
 ⁠

suggests it writes results to a database (⁠ db ⁠), probably an SQLite file (like ⁠ data.db ⁠).

Check if the script has:

⁠ python
db = await aiosqlite.connect("data.db")
 ⁠

If so, you’re good — it will create the file automatically.

If it expects a different database (PostgreSQL, etc.), you’ll need connection credentials.

---

## 5. Input Data or Directory

The function ⁠ crawl_directory_worker ⁠ implies the script crawls through a *directory of listings* (maybe HTML, JSON, or CSV files).
Usually, you’ll run it like:

⁠ bash
python advanced_tile_grout_extractor_google_email_fallback.py --input my_directory/
 ⁠

or (if it’s web-based)

⁠ bash
python advanced_tile_grout_extractor_google_email_fallback.py --query "tile and grout cleaning" --country "AU"
 ⁠

Check the top of the file for ⁠ argparse ⁠ usage to see what options it expects (⁠ --input ⁠, ⁠ --output ⁠, ⁠ --google_places_key ⁠, etc.).

---

## 6. Run and Monitor

To run normally:

⁠ bash
python advanced_tile_grout_extractor_google_email_fallback.py
 ⁠

If the script is asynchronous (⁠ asyncio.run(main()) ⁠), you’ll see it handle multiple listings concurrently.

You might also want to add logging to see progress:

⁠ bash
python advanced_tile_grout_extractor_google_email_fallback.py --verbose
 ⁠

---

## Summary

| Requirement | Description |
| ------------------------------------ | ------------------------------------------------------------------------- |
| *Python 3.9+* | Installed and in PATH |
| *Dependencies* | ⁠ aiohttp ⁠, ⁠ aiosqlite ⁠, ⁠ requests ⁠, etc. |
| *Google Places API key (optional)* | For mobile enrichment |
| *Database (likely SQLite)* | Automatically created as ⁠ data.db ⁠ |
| *Input source* | Directory, query, or listings |
| *Run command* | ⁠ python advanced_tile_grout_extractor_google_email_fallback.py [options] ⁠ |