---
title: "Google Transparency Report Integration"
description: > 
  Learn how to access and analyze data from the Google Transparency Report.
vignette: >
  %\VignetteIndexEntry{Google Transparency Report Integration}
  %\VignetteEngine{quarto::html}
  %\VignetteEncoding{UTF-8}
knitr:
  opts_chunk: 
    collapse: true
    comment: '#>'
---

## Accessing Google Transparency Data

metatargetr provides integration with the Google Transparency Report through the `ggl_get_spending()` function:

```{r}
#| eval: false
library(metatargetr)
library(ggplot2)

# Get aggregated spending data
spending_data <- ggl_get_spending(
  advertiser_id = "AR18091944865565769729",
  start_date = "2023-10-24",
  end_date = "2023-11-22",
  cntry = "NL"
)
```

## Time-Based Analysis

For temporal analysis, use the `get_times` parameter:

```{r}
#| eval: false
# Get time-series data
timeseries_data <- ggl_get_spending(
  advertiser_id = "AR18091944865565769729",
  start_date = "2023-10-24",
  end_date = "2023-11-22",
  cntry = "NL",
  get_times = TRUE
)

# Create visualization
ggplot(timeseries_data, aes(x = date, y = spend)) +
  geom_col() +
  theme_minimal() +
  labs(
    title = "Ad Spending Over Time",
    x = "Date",
    y = "Spend Amount"
  )
```

## Understanding the Metrics

The Google Transparency Report provides:

- Total spending amounts

- Ad type distribution

- Temporal patterns

- Regional variations