Exa Search

Blocks for searching the web using Exa's advanced neural and keyword search API.

Exa Search

What it is

Searches the web using Exa's advanced search API

How it works

This block uses Exa's advanced search API to find web content. Unlike traditional search engines, Exa offers neural search that understands semantic meaning, making it excellent for finding specific types of content. You can choose between keyword search (traditional), neural search (semantic understanding), or fast search.

The block supports powerful filtering by domain, date ranges, content categories (companies, research papers, news, etc.), and text patterns. Results include URLs, titles, and optionally full content extraction.

Inputs

Input	Description	Type	Required
query	The search query	str	Yes
type	Type of search	"keyword" | "neural" | "fast" | "auto"	No
category	Category to search within: company, research paper, news, pdf, github, tweet, personal site, linkedin profile, financial report	"company" | "research paper" | "news" | "pdf" | "github" | "tweet" | "personal site" | "linkedin profile" | "financial report"	No
user_location	The two-letter ISO country code of the user (e.g., 'US')	str	No
number_of_results	Number of results to return	int	No
include_domains	Domains to include in search	List[str]	No
exclude_domains	Domains to exclude from search	List[str]	No
start_crawl_date	Start date for crawled content	str (date-time)	No
end_crawl_date	End date for crawled content	str (date-time)	No
start_published_date	Start date for published content	str (date-time)	No
end_published_date	End date for published content	str (date-time)	No
include_text	Text patterns to include	List[str]	No
exclude_text	Text patterns to exclude	List[str]	No
contents	Content retrieval settings	ContentSettings	No
moderation	Enable content moderation to filter unsafe content from search results	bool	No

Outputs

Output	Description	Type
error	Error message if the request failed	str
results	List of search results	List[ExaSearchResults]
result	Single search result	ExaSearchResults
context	A formatted string of the search results ready for LLMs.	str
search_type	For auto searches, indicates which search type was selected.	str
resolved_search_type	The search type that was actually used for this request (neural or keyword)	str
cost_dollars	Cost breakdown for the request	CostDollars

Possible use case

Competitive Research: Search for companies in a specific industry, filtered by recent news or funding announcements.

Content Curation: Find relevant articles and research papers on specific topics for newsletters or content aggregation.

Lead Generation: Search for companies matching specific criteria (industry, size, recent activity) for sales prospecting.

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