GitHub - djberube/daco

Query autocomplete suggestions from Google, YouTube, Bing, Amazon, and DuckDuckGo.

Note: This is a Rust port of the original TypeScript autocomplete-cli by neonwatty.

Install

git clone https://github.com/djberube/daco
cd daco
./script/install.sh

... which installs to ~/.local/bin.

You can also do this if you don't want to copy the binary:

git clone https://github.com/djberube/daco
cd daco
cargo build --release

Usage

daco <source> <query> [options]

Sources

Source	Command	Description
Google	`daco google "query"`	Google search suggestions
YouTube	`daco youtube "query"`	YouTube search suggestions
Bing	`daco bing "query"`	Bing search suggestions
Amazon	`daco amazon "query"`	Amazon product suggestions
DuckDuckGo	`daco ddg "query"`	DuckDuckGo suggestions

Options

Flag	Description	Availability
`-l, --lang <code>`	Language code (e.g., `en`, `de`, `es`)	Google, YouTube, Bing
`-c, --country <code>`	Country code (e.g., `us`, `uk`, `de`)	Google, YouTube, Bing
`-d, --delay <ms>`	Delay between API calls in ms (default: 100)	All sources
`-e, --expand`	Expand with alphabet suffixes (a-z)	All sources
`-q, --questions`	Expand with question words	All sources
`-p, --prefix <list>`	Custom prefixes (comma-separated)	All sources
`-f, --format <type>`	Output format: `text`, `json`, `csv`	All sources

Examples

# Google suggestions
daco google "best programming language"

# YouTube suggestions
daco youtube "how to learn python"

# Amazon product suggestions
daco amazon "mechanical keyboard"

# Bing with language
daco bing "wetter" --lang de

# DuckDuckGo (short alias)
daco ddg "privacy browser"

# JSON output for scripting
daco google "typescript" --format json

# CSV for spreadsheets
daco amazon "desk" --format csv > keywords.csv

# Alphabet expansion (27 queries, ~270 results)
daco google "coffee" --expand

# Question word expansion (what, how, why, etc.)
daco youtube "python" --questions

# Custom prefixes
daco google "programming" --prefix "best,learn,how to"

# Combined expansion with JSON output
daco google "seo" --expand --questions --format json

Development

cargo build          # Build the project
cargo test           # Run tests
cargo clippy         # Lint code
cargo fmt            # Format code

License

MIT