176 lines
4.8 KiB
Markdown
176 lines
4.8 KiB
Markdown
# Meta API Grabber
|
|
|
|
Async data collection system for Meta's Marketing API with TimescaleDB time-series storage and dashboard support.
|
|
|
|
## Features
|
|
|
|
- **OAuth2 Authentication** - Automated token generation flow
|
|
- **TimescaleDB Integration** - Optimized time-series database for ad metrics
|
|
- **Scheduled Collection** - Periodic data grabbing (every 2 hours recommended)
|
|
- **Metadata Caching** - Smart caching of accounts, campaigns, and ad sets
|
|
- **Async/await architecture** for efficient API calls
|
|
- **Conservative rate limiting** (2s between requests, 1 concurrent request)
|
|
- **Multi-level insights** - Account, campaign, and ad set data
|
|
- **Dashboard Ready** - Includes Grafana setup for visualization
|
|
- **Continuous Aggregates** - Pre-computed hourly/daily rollups
|
|
- **Data Compression** - Automatic compression of older data
|
|
|
|
## Quick Start
|
|
|
|
### 1. Install Dependencies
|
|
```bash
|
|
uv sync
|
|
```
|
|
|
|
### 2. Start TimescaleDB
|
|
```bash
|
|
docker-compose up -d
|
|
```
|
|
|
|
This starts:
|
|
- **TimescaleDB** on port 5432 (PostgreSQL-compatible)
|
|
- **Grafana** on port 3000 (for dashboards)
|
|
|
|
### 3. Configure Credentials
|
|
```bash
|
|
cp .env.example .env
|
|
```
|
|
|
|
Edit `.env` and add:
|
|
- **META_APP_ID** and **META_APP_SECRET** from [Meta for Developers](https://developers.facebook.com/)
|
|
- **META_AD_ACCOUNT_ID** from Meta Ads Manager (format: `act_1234567890`)
|
|
- **DATABASE_URL** is pre-configured for local Docker setup
|
|
|
|
### 4. Get Access Token
|
|
|
|
**Option A: OAuth2 Flow (Recommended)**
|
|
```bash
|
|
uv run python src/meta_api_grabber/auth.py
|
|
```
|
|
Follow the prompts to authorize and save your token.
|
|
|
|
**Option B: Manual Token**
|
|
- Get a token from [Graph API Explorer](https://developers.facebook.com/tools/explorer/)
|
|
- Add it to `.env` as `META_ACCESS_TOKEN`
|
|
|
|
### 5. Start Scheduled Collection
|
|
```bash
|
|
uv run python src/meta_api_grabber/scheduled_grabber.py
|
|
```
|
|
|
|
This will:
|
|
- Collect data every 2 hours using the `today` date preset (recommended by Meta)
|
|
- Cache metadata (accounts, campaigns, ad sets) twice daily
|
|
- Store time-series data in TimescaleDB
|
|
- Use upsert strategy to handle updates
|
|
|
|
## Usage Modes
|
|
|
|
### 1. Scheduled Collection (Recommended for Dashboards)
|
|
```bash
|
|
uv run python src/meta_api_grabber/scheduled_grabber.py
|
|
```
|
|
- Runs continuously, collecting data every 2 hours
|
|
- Stores data in TimescaleDB for dashboard visualization
|
|
- Uses `today` date preset (recommended by Meta)
|
|
- Caches metadata to reduce API calls
|
|
|
|
### 2. One-Time Data Export (JSON)
|
|
```bash
|
|
uv run python src/meta_api_grabber/insights_grabber.py
|
|
```
|
|
- Fetches insights for the last 7 days
|
|
- Saves to `data/meta_insights_TIMESTAMP.json`
|
|
- Good for ad-hoc analysis or testing
|
|
|
|
### 3. OAuth2 Authentication
|
|
```bash
|
|
uv run python src/meta_api_grabber/auth.py
|
|
```
|
|
- Interactive flow to get access token
|
|
- Saves token to `.env` automatically
|
|
|
|
## Data Collected
|
|
|
|
### Account Level
|
|
- Impressions, clicks, spend
|
|
- CPC, CPM, CTR
|
|
- Reach, frequency
|
|
- Actions and cost per action
|
|
|
|
### Campaign Level (top 10)
|
|
- Campaign name and ID
|
|
- Impressions, clicks, spend
|
|
- CTR, CPC
|
|
|
|
### Ad Set Level (top 10)
|
|
- Ad set name and ID
|
|
- Impressions, clicks, spend
|
|
- CTR, CPM
|
|
|
|
## Database Schema
|
|
|
|
### Time-Series Tables (Hypertables)
|
|
- **account_insights** - Account-level metrics over time
|
|
- **campaign_insights** - Campaign-level metrics over time
|
|
- **adset_insights** - Ad set level metrics over time
|
|
|
|
### Metadata Tables (Cached)
|
|
- **ad_accounts** - Account metadata
|
|
- **campaigns** - Campaign metadata
|
|
- **adsets** - Ad set metadata
|
|
|
|
### Continuous Aggregates
|
|
- **account_insights_hourly** - Hourly rollups
|
|
- **account_insights_daily** - Daily rollups
|
|
|
|
### Features
|
|
- **Automatic partitioning** by day (chunk_time_interval = 1 day)
|
|
- **Compression** for data older than 7 days
|
|
- **Indexes** on account_id, campaign_id, adset_id + time
|
|
- **Upsert strategy** to handle duplicate/updated data
|
|
|
|
## Dashboard Setup
|
|
|
|
### Access Grafana
|
|
1. Open http://localhost:3000
|
|
2. Login with `admin` / `admin`
|
|
3. Add TimescaleDB as data source:
|
|
- Type: PostgreSQL
|
|
- Host: `timescaledb:5432`
|
|
- Database: `meta_insights`
|
|
- User: `meta_user`
|
|
- Password: `meta_password`
|
|
- TLS/SSL Mode: disable
|
|
|
|
### Example Queries
|
|
|
|
**Latest Account Metrics:**
|
|
```sql
|
|
SELECT * FROM latest_account_metrics WHERE account_id = 'act_your_id';
|
|
```
|
|
|
|
**Campaign Performance (Last 24h):**
|
|
```sql
|
|
SELECT * FROM campaign_performance_24h ORDER BY total_spend DESC;
|
|
```
|
|
|
|
**Hourly Trend:**
|
|
```sql
|
|
SELECT bucket, avg_impressions, avg_clicks, avg_spend
|
|
FROM account_insights_hourly
|
|
WHERE account_id = 'act_your_id'
|
|
AND bucket >= NOW() - INTERVAL '7 days'
|
|
ORDER BY bucket;
|
|
```
|
|
|
|
## Rate Limiting
|
|
|
|
The system is configured to be very conservative:
|
|
- **2 seconds delay** between API requests
|
|
- **Only 1 concurrent request** at a time
|
|
- **Top 50 campaigns/adsets** per collection
|
|
- **2 hour intervals** between collections
|
|
|
|
This ensures you stay well within Meta's API rate limits.
|