Skip to main content

A Python SDK for interacting with the Desearch API service.

Project description

Desearch

Desearch API in Python

https://console.desearch.ai/

Installation

pip install desearch-py

Usage

Import the package and initialize the Desearch client with your API key:

    from desearch_py import Desearch

    desearch = Desearch(api_key="your-api-key")

Common requests

    
    # Desearch AI Search
    result = desearch.ai_search(
        prompt="Bittensor",
        tools=[
            "web",
            "hackernews",
            "reddit",
            "wikipedia",
            "youtube",
            "twitter",
            "arxiv"
        ],
        model="NOVA",
        date_filter="PAST_24_HOURS",
        streaming=False,
        result_type="LINKS_WITH_SUMMARIES",
        system_message=""
    )

    #Desearch Twitter post search
    result = desearch.twitter_links_search(
        prompt="Bittensor",
        model="NOVA",
    )

    #Desearch Web links search
    result = desearch.web_links_search(
        prompt="Bittensor",
        tools=[
            "web",
            "hackernews",
            "reddit",
            "wikipedia",
            "youtube",
            "arxiv"
        ],
        model="NOVA",
    )

    #Basic Twitter search
    result = desearch.basic_twitter_search(
        query="Whats going on with Bittensor",
        sort="Top",
        user="elonmusk",
        start_date="2024-12-01",
        end_date="2025-02-25",
        lang="en",
        verified=True,
        blue_verified=True,
        is_quote=True,
        is_video=True,
        is_image=True,
        min_retweets=1,
        min_replies=1,
        min_likes=1,
        count=10
    )

    #Basic Web search
    result = desearch.basic_web_search(
        query="latest news on AI",
        num=10,
        start=0
    )

    #Fetch Tweets by URLs
    result = desearch.twitter_by_urls(
        urls=["https://twitter.com/elonmusk/status/1613000000000000000"]
    )

    #Fetch Tweets by ID
    result = desearch.twitter_by_id(id="123456789")

    #Fetch Tweets by User
    result = desearch.tweets_by_user(
        user="elonmusk",
        query="Bittensor",
        count=10
    )

    #Fetch Latest Tweets
    result = desearch.latest_tweets(
        user="elonmusk",
        count=10
    )

    #Fetch Tweets and Replies by User
    result = desearch.tweets_and_replies_by_user(
        user="elonmusk",
        query="Bittensor",
        count=10
    )

    #Fetch Replies by Post
    result = desearch.twitter_replies_post(
        post_id="123456789",
        count=10
        query="Bittensor"
    )

    #Fetch Retweets by Post
    result = desearch.twitter_retweets_post(
        post_id="123456789",
        count=10,
        query="Bittensor"
    )

    #Fetch Tweeter User
    result = desearch.tweeter_user(
        user="elonmusk")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

desearch_py-1.0.3.tar.gz (14.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

desearch_py-1.0.3-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file desearch_py-1.0.3.tar.gz.

File metadata

  • Download URL: desearch_py-1.0.3.tar.gz
  • Upload date:
  • Size: 14.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for desearch_py-1.0.3.tar.gz
Algorithm Hash digest
SHA256 e86f5e63d4ac491ba2f6d3fa0e241350ac6beb546a6a998f629a0b17ae722b20
MD5 54f17037a56e916ef9ec2f71e86997db
BLAKE2b-256 628c2a997c974b453c60974d1954968bd3404efa0c6a0fd331f5f88b53ca3de3

See more details on using hashes here.

File details

Details for the file desearch_py-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: desearch_py-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for desearch_py-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c7f5fd82ab9467bbcf7e4f42243fcb03e13ac4d38f2eeae2d9b3fdf1cd1ac646
MD5 d39218d9758690b1544abf56834a92c5
BLAKE2b-256 594e3e9655d62d146b07c05839159f56ebf514501de1b33d14502754054a36b2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page