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Brave Search API wrapper

Project description

Brave Search API

Overview

Python wrapper for the Brave Search API.

Brave Search doesn’t track you or your queries, it's a privacy-preserving alternative to Google Search. It offers many endpoints for developers to build on top of. This module is a wrapper for the Brave Search API.

This repo is under active development, functionality may change. If you have any suggestions or requests, please open an issue.

Installation

To get started, install the package using pip:

pip install brave-search

Usage

The module supports both synchronous and asynchronous requests. Your Brave API key can either be passed as an environment variable under BRAVE_API_KEY or as an argument to the Brave class.

from brave import Brave

brave = Brave()

query = "cobalt mining"
num_results = 10

search_results = brave.search(q=query, count=num_results)

The search_results object will include all the data returned by the Brave Search API. You can access Web, News and Video results from the websearch endpoint as follows:

web_results = search_results.web_results
news_results = search_results.news_results
video_results = search_results.video_results

The module also supports asynchronous requests:

from brave import AsyncBrave

brave = AsyncBrave()

query = "cobalt mining"
num_results = 10

search_results = await brave.search(q=query, count=num_results)

Features

Download PDFs:

Use the download_pdfs method to download all PDFs found in the search results. This method returns a list of file paths to the downloaded PDFs. You can use Goggles to boost PDFs in your search results.

from brave import Brave

brave = Brave()

query = "cobalt mining"
num_results = 10

search_results = brave.search(q=query, count=num_results)

search_results.download_pdfs()

Aggregate Price Data

Use the product_prices method to get a list of prices for a set of search results. This method returns a list of prices found in the search results. If no prices are found, an empty list is returned. This method does not currently support converting currencies.

    from brave import Brave

    brave = Brave()

    query = "Blue Tack"
    num_results = 10
    country = "US"
    search_results = brave.search(q=query, count=num_results, country=country)
    print(search_results.product_prices())
    # >> [6.28, 5.98, 4.99, 13.18, 6.59, 7.8, 5.56, 10.79, 5.02, 10.56, 16.95, 9.99, 23.59, 16.31, 11.96]
    print(search_results.product_price_ranges())
    # >> (4.99, 23.59)

Aggregate Review Data

Use the average_product_review_score method to get the average review score for a set of search results. This method converts all review scores to a 100 point scale.

from brave import Brave

brave = Brave()

query = "Blue Tack"
num_results = 10
search_results = brave.search(q=query, count=num_results)
print(search_results.average_product_review_score())
# >> 88.13333333333333

Goggles

Brave is a powerful search engine that allows for the usage of goggles to rerank your search results to meet your use-case. Goggles enable any individual—or community of people—to alter the ranking of Brave Search by using a set of instructions (rules and filters). Anyone can create, apply, or extend a Goggle. Essentially Goggles act as a custom re-ranking on top of the Brave search index.

Here we use a goggle which prioritizes academic and archival sources.

from brave import Brave

query = "cobalt mining"
goggle_url = "https://raw.githubusercontent.com/CSamuelAnderson/Brave-goggles/main/academic-and-archival.goggle"
num_results = 10
result_filter = "web" # must be comma separated string

search_results = brave.search(q=query, goggles_id=goggle_url, count=num_results, result_filter=result_filter)

You can also make use of Goggles that have been directly contributed to this package:

from brave import Brave
from brave.goggles import thought_leadership

query = "cobalt mining"
num_results = 10

search_results = brave.search(q=query, goggles_id=thought_leadership, count=num_results)

To return the raw JSON response that has not been validated through the pydantic model use the raw flag:

from brave import Brave

query = "George Orwell, 1984"
num_results = 10

search_results = brave.search(q=query, raw=True)

Local Installation

This package uses Poetry for dependency management. To start developing here, you need to install Poetry

Once you have Poetry installed on your system simply run:

make init

Developing

Check the CONTRIBUTING.md for information about how to develop on this project.

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