hunter_post_v2_discover - OpenAny

Find companies matching a structured filter set. This operation is free. Uses the caller's OpenAny gateway credentials. Charges and authorization are determined by the gateway.

Name	Required	Description
`limit`	No	Number of companies to return. Every plan can request up to 100 companies.
`query`	No	Search query, in your natural language. For example, "Companies in Europe in the Tech Industry".
`offset`	No	Number of companies to skip. Only plans with Discover paging can set an offset above 0.
`funding`	No	You can provide a list of funding series in the series field to narrow down your selection of companies. The possible values are pre_seed, seed, pre_series_a, series_a, pre_series_b, series_b, pre_series_c, series_c+ or other You can also specify a range of funding amounts in the amount field, you can specify a from and/or to value Finally you can also specify a range of funding dates in the date field, here you can also specify a from and/or to value in YYYY-MM-DD format. Both dates are inclusive; omitting a bound leaves that side of the range open. Applied dates, including those resolved from a natural-language query, are returned in meta.filters.funding.date and can be reused for pagination. This filter is only available on a Premium plan.
`industry`	No	Industry names to include or exclude.
`keywords`	No	Keywords to narrow down your selection of companies. You can specify a list of keywords in the include field to select on and/or a list in the exclude field to exclude from the results. You can specify to match on any or all keywords in the match field (the default value is all).
`headcount`	No	The company sizes you want to include in the results. The possible values are 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000 or 10001+. The company size is the range the company reports publicly. We raise it when our data clearly shows a larger company. The emails_count in the results counts the email addresses we found for the domain. It is not the number of employees.
`similar_to`	No	You can either specify a domain or a name of a company to find similar companies for. If you specify both then the domain will be used. This filter is only available on a Premium plan.
`technology`	No	Technology slugs to include or exclude.
`company_type`	No	Hunter company types to include or exclude.
`job_openings`	No	Filter companies by LinkedIn job openings. Department values come from the jobs-index vocabulary (not a frozen enum). Unknown departments return 400.
`organization`	No	You can specify a list of domains in the domain field to select on and/or a list of company names in the name field to select on. When you supply both, the API will combine the results into a set of domain names.
`year_founded`	No	The years in which the companies were founded, for example "2010". You can specify either multiple years to include and/or exclude or you can specify a range by giving a value for from and/or to. This filter is only available on a Premium plan.
`headquarters_location`	No	Locations of the headquarters of the companies you want to find. You can specify lists of locations in the include field to select on and/or in the exclude field to exclude. Each location can have either a continent or business_region or country, state and/or city. continent can be one of the following: Europe, Asia, North America, Africa, Antarctica, South America or Oceania business_region can be one of the following: AMER, EMEA, APAC or LATAM country must contain a valid ISO 3166-1 alpha-2 country code, for example "US" for the United States. state must contain a valid US state code, for example "CA" for California. You can only use this field when the country is set to "US". city must contain a city name, for example "San Francisco". Please note that when a city is provided, a country must also be specified: { "headquarters_location": { "include": [ { "city": "Paris", "country": "FR" } ] } }

Name

Required

Description

Default

limit

Number of companies to return. Every plan can request up to 100 companies.

query

Search query, in your natural language. For example, "Companies in Europe in the Tech Industry".

offset

Number of companies to skip. Only plans with Discover paging can set an offset above 0.

funding

You can provide a list of funding series in the series field to narrow down your selection of companies. The possible values are pre_seed, seed, pre_series_a, series_a, pre_series_b, series_b, pre_series_c, series_c+ or other You can also specify a range of funding amounts in the amount field, you can specify a from and/or to value Finally you can also specify a range of funding dates in the date field, here you can also specify a from and/or to value in YYYY-MM-DD format. Both dates are inclusive; omitting a bound leaves that side of the range open. Applied dates, including those resolved from a natural-language query, are returned in meta.filters.funding.date and can be reused for pagination. This filter is only available on a Premium plan.

industry

Industry names to include or exclude.

keywords

Keywords to narrow down your selection of companies. You can specify a list of keywords in the include field to select on and/or a list in the exclude field to exclude from the results. You can specify to match on any or all keywords in the match field (the default value is all).

headcount

The company sizes you want to include in the results. The possible values are 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000 or 10001+. The company size is the range the company reports publicly. We raise it when our data clearly shows a larger company. The emails_count in the results counts the email addresses we found for the domain. It is not the number of employees.

similar_to

You can either specify a domain or a name of a company to find similar companies for. If you specify both then the domain will be used. This filter is only available on a Premium plan.

technology

Technology slugs to include or exclude.

company_type

Hunter company types to include or exclude.

job_openings

Filter companies by LinkedIn job openings. Department values come from the jobs-index vocabulary (not a frozen enum). Unknown departments return 400.

organization

You can specify a list of domains in the domain field to select on and/or a list of company names in the name field to select on. When you supply both, the API will combine the results into a set of domain names.

year_founded

The years in which the companies were founded, for example "2010". You can specify either multiple years to include and/or exclude or you can specify a range by giving a value for from and/or to. This filter is only available on a Premium plan.

headquarters_location

Locations of the headquarters of the companies you want to find. You can specify lists of locations in the include field to select on and/or in the exclude field to exclude. Each location can have either a continent or business_region or country, state and/or city. continent can be one of the following: Europe, Asia, North America, Africa, Antarctica, South America or Oceania business_region can be one of the following: AMER, EMEA, APAC or LATAM country must contain a valid ISO 3166-1 alpha-2 country code, for example "US" for the United States. state must contain a valid US state code, for example "CA" for California. You can only use this field when the country is set to "US". city must contain a city name, for example "San Francisco". Please note that when a city is provided, a country must also be specified: { "headquarters_location": { "include": [ { "city": "Paris", "country": "FR" } ] } }

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