Desearch

The official Python SDK for the Desearch API — AI-powered search, X (Twitter) data retrieval, web search, and crawling.

Table of Contents

• Installation
• Quick Start
• AI Contextual Search
• AI Web Links Search
• AI X Posts Links Search
• X Search
• Fetch Posts by URLs
• Retrieve Post by ID
• Search X Posts by User
• Get Retweeters of a Post
• Get X Posts by Username
• Fetch User's Tweets and Replies
• Retrieve Replies for a Post
• Get X Trends
• SERP Web Search
• Crawl a URL
• Links

Installation

pip install desearch-py

Quick Start

import asyncio
from desearch_py import Desearch

async def main():
    async with Desearch(api_key="your_api_key") as desearch:
        result = await desearch.ai_search(
            prompt="Bittensor",
            tools=["web", "twitter"],
        )
        print(result)

asyncio.run(main())

AI Contextual Search

ai_search

AI-powered multi-source contextual search. Searches across web, X (Twitter), Reddit, YouTube, HackerNews, Wikipedia, and arXiv and returns results with optional AI-generated summaries. Supports streaming responses.

Parameter	Type	Required	Default	Description
prompt	str	Yes	—	Search query prompt
tools	List[str]	Yes	—	List of tools to search with (e.g. web, twitter, reddit, hackernews, youtube, wikipedia, arxiv)
start_date	Optional[str]	No	None	Start date in UTC (YYYY-MM-DDTHH:MM:SSZ)
end_date	Optional[str]	No	None	End date in UTC (YYYY-MM-DDTHH:MM:SSZ)
date_filter	Optional[str]	No	PAST_24_HOURS	Predefined date filter for search results
result_type	Optional[str]	No	LINKS_WITH_FINAL_SUMMARY	Result type (ONLY_LINKS or LINKS_WITH_FINAL_SUMMARY)
system_message	Optional[str]	No	None	System message for the search
scoring_system_message	Optional[str]	No	None	System message for scoring the response
count	Optional[int]	No	None	Number of results per source (10–200)

result = await desearch.ai_search(
    prompt="Bittensor",
    tools=["web", "hackernews", "reddit", "wikipedia", "youtube", "twitter", "arxiv"],
    date_filter="PAST_24_HOURS",
    result_type="LINKS_WITH_FINAL_SUMMARY",
    count=20,
)

AI Web Links Search

ai_web_links_search

Search for raw links across web sources (web, HackerNews, Reddit, Wikipedia, YouTube, arXiv). Returns structured link results without AI summaries.

Parameter	Type	Required	Default	Description
prompt	str	Yes	—	Search query prompt
tools	List[str]	Yes	—	List of web tools to search with (e.g. web, hackernews, reddit, wikipedia, youtube, arxiv)
count	Optional[int]	No	None	Number of results per source (10–200)

result = await desearch.ai_web_links_search(
    prompt="What are the recent sport events?",
    tools=["web", "hackernews", "reddit", "wikipedia", "youtube", "arxiv"],
    count=20,
)

AI X Posts Links Search

ai_x_links_search

Search for X (Twitter) post links matching a prompt using AI-powered models. Returns tweet objects from the miner network.

Parameter	Type	Required	Default	Description
prompt	str	Yes	—	Search query prompt
count	Optional[int]	No	None	Number of results to return (10–200)

result = await desearch.ai_x_links_search(
    prompt="What are the recent sport events?",
    count=20,
)

X Search

x_search

X (Twitter) search with extensive filtering options: date range, user, language, verification status, media type (image/video/quote), and engagement thresholds (min likes, retweets, replies). Sort by Top or Latest.

Parameter	Type	Required	Default	Description
query	str	Yes	—	Advanced search query
sort	Optional[str]	No	Top	Sort by Top or Latest
user	Optional[str]	No	None	User to search for
start_date	Optional[str]	No	None	Start date in UTC (YYYY-MM-DD)
end_date	Optional[str]	No	None	End date in UTC (YYYY-MM-DD)
lang	Optional[str]	No	None	Language code (e.g. en, es, fr)
verified	Optional[bool]	No	None	Filter for verified users
blue_verified	Optional[bool]	No	None	Filter for blue checkmark verified users
is_quote	Optional[bool]	No	None	Include only tweets with quotes
is_video	Optional[bool]	No	None	Include only tweets with videos
is_image	Optional[bool]	No	None	Include only tweets with images
min_retweets	Optional[Union[int, str]]	No	None	Minimum number of retweets
min_replies	Optional[Union[int, str]]	No	None	Minimum number of replies
min_likes	Optional[Union[int, str]]	No	None	Minimum number of likes
count	Optional[int]	No	20	Number of tweets to retrieve (1–100)

result = await desearch.x_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,
    count=20,
)

Fetch Posts by URLs

x_posts_by_urls

Fetch full post data for a list of X (Twitter) post URLs. Returns metadata, content, and engagement metrics for each URL.

Parameter	Type	Required	Default	Description
urls	List[str]	Yes	—	List of tweet URLs to retrieve

result = await desearch.x_posts_by_urls(
    urls=["https://x.com/RacingTriple/status/1892527552029499853"],
)

Retrieve Post by ID

x_post_by_id

Fetch a single X (Twitter) post by its unique ID. Returns metadata, content, and engagement metrics.

Parameter	Type	Required	Default	Description
id	str	Yes	—	The unique ID of the post

result = await desearch.x_post_by_id(
    id="1892527552029499853",
)

Search X Posts by User

x_posts_by_user

Search X (Twitter) posts by a specific user, with optional keyword filtering.

Parameter	Type	Required	Default	Description
user	str	Yes	—	User to search for
query	Optional[str]	No	None	Advanced search query
count	Optional[int]	No	None	Number of tweets to retrieve (1–100)

result = await desearch.x_posts_by_user(
    user="elonmusk",
    query="Whats going on with Bittensor",
    count=20,
)

Get Retweeters of a Post

x_post_retweeters

Retrieve the list of users who retweeted a specific post by its ID. Supports cursor-based pagination.

Parameter	Type	Required	Default	Description
id	str	Yes	—	The ID of the post to get retweeters for
cursor	Optional[str]	No	None	Cursor for pagination

result = await desearch.x_post_retweeters(
    id="1982770537081532854",
)

Get X Posts by Username

x_user_posts

Retrieve a user's timeline posts by their username. Fetches the latest tweets posted by that user. Supports cursor-based pagination.

Parameter	Type	Required	Default	Description
username	str	Yes	—	Username to fetch posts for
cursor	Optional[str]	No	None	Cursor for pagination

result = await desearch.x_user_posts(
    username="elonmusk",
)

Fetch User's Tweets and Replies

x_user_replies

Fetch tweets and replies posted by a specific user, with optional keyword filtering.

Parameter	Type	Required	Default	Description
user	str	Yes	—	The username of the user to search for
count	Optional[int]	No	None	The number of tweets to fetch (1–100)
query	Optional[str]	No	None	Advanced search query

result = await desearch.x_user_replies(
    user="elonmusk",
    query="latest news on AI",
    count=20,
)

Retrieve Replies for a Post

x_post_replies

Fetch replies to a specific X (Twitter) post by its post ID.

Parameter	Type	Required	Default	Description
post_id	str	Yes	—	The ID of the post to search for
count	Optional[int]	No	None	The number of tweets to fetch (1–100)
query	Optional[str]	No	None	Advanced search query

result = await desearch.x_post_replies(
    post_id="1234567890",
    query="latest news on AI",
    count=20,
)

Get X Trends

x_trends

Retrieve trending topics on X for a given location using its WOEID (Where On Earth ID).

Parameter	Type	Required	Default	Description
woeid	int	Yes	—	The WOEID of the location (e.g. 23424977 for United States)
count	Optional[int]	No	None	The number of trends to return (30–100)

result = await desearch.x_trends(
    woeid=23424977,
    count=50,
)

SERP Web Search

web_search

SERP web search. Returns paginated web search results, replicating a typical search engine experience.

Parameter	Type	Required	Default	Description
query	str	Yes	—	The search query string
start	Optional[int]	No	0	Number of results to skip for pagination

result = await desearch.web_search(
    query="latest news on AI",
    start=10,
)

Crawl a URL

web_crawl

Crawl a URL and return its content as plain text or HTML.

Parameter	Type	Required	Default	Description
url	str	Yes	—	URL to crawl
format	Optional[str]	No	text	Format of content (html or text)

result = await desearch.web_crawl(
    url="https://en.wikipedia.org/wiki/Artificial_intelligence",
    format="html",
)

Links

• Desearch
• API Console
• API Reference