Job Search
This endpoint lets you search for jobs posted on thousands of websites and filter by multiple filters, such as job titles, companies, locations, company attributes, dates and many more.
It consumes 1 API credit for each job returned in the response.
You must specify at least one of the following filters, or otherwise your request will fail: posted_at_max_age_days, posted_at_gte, posted_at_lte, company_domain_or, company_linkedin_url_or, company_name_or. This is for performance reasons.
To retrieve jobs from a specific company or a list of companies, you can apply any of the following filters: company_domain_or, company_linkedin_url_or, company_name_or, company_name_case_insensitive_or. When using multiple company identifier filters, the endpoint will return jobs from companies that match any of the specified identifiers. Therefore, it is advisable to create a separate request for each company if you intend to use more than one identifier.
This endpoint is used by job seekers and sales/marketing teams to search for jobs filtered by country, job title, technologies, job description, company name, company domain, or date range—see the payload examples below for specific use cases.
Useful resources: Avoiding getting the same job twice, Fetching jobs periodically, Preview data mode, Free count mode
Authorization
Bearer In: header
Request Body
application/json
TypeScript Definitions
Use the request body type in TypeScript.
- blur_company_databooleandefault: false
Enable preview mode to return blurred data without consuming API credits. When enabled, sensitive company fields (name, domain, URLs, descriptions) and job-specific fields (description, URLs) are blurred. This mode is useful for sales software integrations to show data previews to end users. Not available when filtering by company identifiers (company_name, company_domain, company_linkedin_url, company_id). Learn more about here
- company_country_code_notarray<string>default: []
Return companies whose HQ country code is not any of the ones passed here, case sensitive. Pass ISO2 country codes.
- company_country_code_orarray<string>default: []
Return companies whose HQ country code is any of the ones passed here, case sensitive. Pass ISO2 country codes.
- company_description_pattern_accent_insensitivebooleannullabledefault: false
Set to True to make company description searches accent insensitive. For example, "á" will match "a" as well.
- company_description_pattern_notarray<string>default: []
Case-insensitive patterns to match in the company description. Will return companies that match any of the patterns.
- company_description_pattern_orarray<string>default: []
Case-insensitive patterns to match in the company description. Will return companies that match any of the patterns.
- company_domain_notarray<string>default: []
Only return companies that don't match these domains exactly. It accepts full urls (https://www.google.com/) and emails (john.polo@gmail.com).
- company_domain_orarray<string>default: []
Only return companies that match these domains exactly. It accepts full urls (https://www.google.com/) and emails (john.polo@gmail.com). This filter acts as an OR filter, so if you pass more than one company domain, it will return companies that match any of the domains.
- company_id_orarray<string>default: []
Only return companies that match these IDs exactly. This filter acts as an OR filter, so if you pass more than one company ID, it will return companies that match any of the IDs.
- company_investors_orarray<string>default: []
Investors of the company
- company_investors_partial_match_orarray<string>default: []
Investors of the company. Will return companies for which any of their investors contains any of the substrings passed here. For example, if you pass 'andree', all funds that match it (like 'Andreessen Horowitz', 'Andreessen Horowitz LLC', etc).
- company_keyword_slug_andarray<string>default: []
Return results from companies that have mentioned all of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
- company_keyword_slug_notarray<string>default: []
Return results from companies that haven't mentioned any of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
- company_keyword_slug_orarray<string>default: []
Return results from companies that have mentioned any of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
- company_linkedin_url_existsbooleannullabledeprecated
(Use
property_exists_or / property_exists_andinstead) Only return companies with a LinkedIn URL - company_linkedin_url_orarray<string>default: []
Return companies whose LinkedIn URL matches any of the slugs passed here. Can also pass full LinkedIn company URLs.
- company_list_id_notarray<integer>default: []
Return companies that don't belong to any of the company lists passed here
- company_list_id_orarray<integer>default: []
Return companies that belong to any of the company lists passed here
- company_location_pattern_orarray<string>default: []
Return companies whose city matches any of the patterns passed here. Case insensitive. For example, if you pass 'san francisco', it will return companies whose city is 'San Francisco', 'San Francisco Bay Area', etc.
- company_name_case_insensitive_orarray<string>default: []
Only return companies that match these names exactly, case-insensitively.
- company_name_notarray<string>default: []
Only return companies that don't match these names exactly, case-sensitively.
- company_name_orarray<string>default: []
Only return companies that match these names exactly, case-sensitively. This filter acts as an OR filter, so if you pass more than one company name, it will return companies that match any of the names.
- company_name_partial_match_notarray<string>default: []
Company names. Will return companies whose name doesn't contain any of the the substrings passed here, case-insensitively. For example, if you pass 'google', it will exclude 'Google', 'Google LLC', 'Google Inc', etc.
- company_name_partial_match_orarray<string>default: []
Company names. Will return companies whose name contain any of the the substrings passed here, case-insensitively. For example, if you pass "google", it will return "Google", "Google LLC", "Google Inc", etc.
- company_tags_orarray<string>default: []
Return companies that match any of these keywords
- company_technology_slug_andarray<string>default: []
Will return jobs from companies that that have mentioned all of these technologies in their jobs (not necessarily in the jobs returned). Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
- company_technology_slug_notarray<string>default: []
Will return jobs from companies that that haven't mentioned any of these technologies in their jobs. Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
- company_technology_slug_orarray<string>default: []
Will return jobs from companies that that have mentioned any of these technologies in their jobs (not necessarily in the jobs returned). Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
- company_typestringnullable
Filter by company type.
- recruiting_agency
- direct_employer
- all
- cursorstringnullable
Cursor for pagination
- discovered_at_gtestring | null
Only jobs discovered by TheirStack on this date or datetime or after will be returned. In UTC timezone.
stringstringdate-time - discovered_at_ltestring | null
Only jobs discovered by TheirStack on this date or datetime or before will be returned. In UTC timezone.
stringstringdate-time - discovered_at_max_age_daysintegernullable
If 0, only return jobs added to our database in the current day. If 1, from today and yesterday, etc.
- discovered_at_min_age_daysintegernullable
If 1, only return jobs discovered by TheirStack until yesterday. If 2, until 2 days ago, etc.
- easy_applybooleannullable
If True, only return jobs that can be applied directly through the job board. If False, only return jobs that require redirecting to the company's website.
- employment_statuses_orarray<Commitment>nullable
Filter jobs by employment status. Returns jobs that match any of the specified employment types. If no values are provided or an empty list is sent, all jobs regardless of employment status will be returned.
- full_time
- part_time
- temporary
- internship
- contract
- final_url_existsbooleannullabledeprecated
(Use
property_exists_or / property_exists_andinstead) Only return jobs with a final URL. Typically jobs that were originally posted on an ATS. If True, only return jobs with a final URL. If False, only return jobs without a final URL. If None, return all jobs. - funding_stage_orarray<string>default: []
Funding stages of companies returned. Possible values: ['angel', 'convertible_note', 'debt_financing', 'equity_crowdfunding', 'other', 'private_equity', 'seed', 'series_a', 'series_b', 'series_c', 'series_d', 'series_e', 'series_f', 'series_g', 'series_h', 'venture_round_not_specified', 'series_i', 'series_j', 'undisclosed', 'series_unknown', 'pre_seed', 'post_ipo_secondary', 'post_ipo_equity', 'post_ipo_debt', 'non_equity_assistance', 'late_vc', 'initial_coin_offering', 'growth_equity_vc', 'grant', 'early_vc', 'corporate_round', 'secondary_market', 'product_crowdfunding']
- hiring_managers_existsbooleannullabledeprecated
(Use
property_exists_or / property_exists_andinstead) If True, only return jobs with a hiring manager. If False, only return jobs without a hiring manager. If None, return all jobs. - include_total_resultsbooleandefault: false
When enabled, calculates and returns
total_resultsandtotal_companiesfields in the response. WARNING: This significantly slows down responses as it requires reading the entire dataset. Recommended usage: enable only for the initial request to get totals, then disable for subsequent pagination requests. - industry_id_notarray<integer>default: []
Industry ids to exclude.You can use any of LinkedIn's Industry Codes V2 or GET /v0/catalog/industries
- industry_id_orarray<integer>default: []
Industry codes. You can use any of LinkedIn's Industry Codes V2 or GET /v0/catalog/industries
- industry_notarray<string>default: []deprecated
Names of industries, case-insensitive. Results will exclude companies that belong to any of the industries specified in this parameter. Available values: GET /v0/catalog/industries
WARNING: Deprecated parameter. Use the industry_id_not field instead. - industry_orarray<string>default: []deprecated
Names of industries, case-insensitive. Results will only include companies that belong to any of the industries specified in this parameter. Available values: GET /v0/catalog/industries
WARNING: Deprecated parameter. Use the industry_id_or field instead. - job_country_code_notarray<string>default: []
2-letter ISO country code of the location of the job. Can pass more than 1. Will exclude jobs from these countries
- job_country_code_orarray<string>default: []
2-letter ISO country code of the location of the job. Can pass more than 1
- job_description_contains_notarray<string>default: []
Exclude jobs whose description contains any of these whole words using word boundaries (\b). Case-insensitive by default, except for the patterns that are uppercase - in that case we'll respect it. Only finds complete words (e.g., searching 'quality' won't match 'inequality'). Results will exclude jobs whose description contains any of these words.
- job_description_contains_orarray<string>default: []
Search for whole words in job descriptions using word boundaries (\b). Case-insensitive by default, except for the patterns that are uppercase - in that case we'll respect it. Only finds complete words (e.g., searching 'quality' won't match 'inequality'). Results will include jobs whose description contains any of these words.
- job_description_pattern_andarray<string>default: []
Regex patterns that must ALL match the job description (AND logic). Use (?i) at the start of a pattern to make it case-insensitive. Results will only include jobs whose description matches every pattern in this list.
- job_description_pattern_case_sensitive_orarray<string>default: []deprecated
Deprecated. Use job_description_pattern_or instead, which now behaves identically.
- job_description_pattern_is_case_insensitivebooleannullabledefault: truedeprecated
Deprecated. Has no effect.
- job_description_pattern_notarray<string>default: []
Regex patterns to look for in job descriptions. Case-sensitive. Results will include jobs whose description don't match any of these patterns. Use (?i) at the start of a pattern to make it case-insensitive. Can pass more than one.
- job_description_pattern_orarray<string>default: []
Regex patterns to look for in job descriptions. Case-sensitive. Results will include jobs whose description matches any of these patterns. Use (?i) at the start of a pattern to make it case-insensitive. Can pass more than one.
- job_id_notarray<integer>default: []
Exclude jobs with these IDs.
- job_id_orarray<integer>default: []
Get jobs with these IDs only.
- job_idsarray<integer>default: []deprecated
Get jobs with these IDs only. Deprecated parameter, use job_id_or instead.
- job_keyword_slug_andarray<string>default: []
Will return jobs where all of these keyword slugs appear. Case sensitive. Check out all the keywords we track at GET /v0/catalog/keywords
- job_keyword_slug_notarray<string>default: []
Will return jobs where none of these keyword slugs appear. Case sensitive. Check out all the keywords we track at GET /v0/catalog/keywords
- job_keyword_slug_orarray<string>default: []
Will return jobs where any of these keyword slugs appear. Case sensitive. Check out all the keywords we track at GET /v0/catalog/keywords
- job_location_notarray<JobLocationFilter>default: []
Filter jobs by location. Returns jobs whose locations DO NOT match ANY of the specified location criteria. Each location criteria is specified using a JobLocationFilter object. (You can find location IDs using the locations catalog endpoint)
- job_location_orarray<JobLocationFilter>default: []
Filter jobs by location. Returns jobs whose locations match ANY of the specified location criteria. Each location criteria is specified using a JobLocationFilter object. (You can find location IDs using the locations catalog endpoint)
- job_location_pattern_notarray<string>default: []deprecated
Regex patterns to exclude job locations. Case-insensitive. Searches both the location field and the enhanced locations array (using normalized city and state name fields within each location element). Jobs matching ANY of the provided patterns will be EXCLUDED from results.
WARNING: Deprecated parameter. Use the
job_location_notfilter instead — it uses structured location IDs from the locations catalog, which is more precise, supports hierarchical (country/region/city) and multi-language searches, has fewer false positives, and benefits from indexed lookups and recent accuracy fixes. - job_location_pattern_orarray<string>default: []deprecated
Regex patterns to match job locations. Case-insensitive. Searches both the location field and the enhanced locations array (using normalized city and state name fields within each location element). Jobs matching ANY of the provided patterns will be returned.
WARNING: Deprecated parameter. Use the
job_location_orfilter instead — it uses structured location IDs from the locations catalog, which is more precise, supports hierarchical (country/region/city) and multi-language searches, has fewer false positives, and benefits from indexed lookups and recent accuracy fixes. - job_seniority_orarray<string>default: []
Will return jobs where the seniority is any of the ones passed here
- c_level
- staff
- senior
- junior
- mid_level
- job_technology_slug_andarray<string>default: []
Will return jobs where all of these technologies appear. Case sensitive. Pass slugs. Check out all the technologies we track with the technologies endpoint.
- job_technology_slug_notarray<string>default: []
Will return jobs where none of these technologies appear. Case sensitive. Pass slugs. Check out all the technologies we track with the technologies endpoint.
- job_technology_slug_orarray<string>default: []
Will return jobs where any of these technologies appear. Case sensitive. Pass slugs. Check out all the technologies we track with the technologies endpoint. If you pass more than one technology, we will return jobs that mentnion all of the technologies.
- job_title_notarray<string>default: []
Keyword-based patterns to exclude job titles. Case-insensitive. Excludes jobs whose title contains all the words in any of the patterns, in any order. For example,
marketing vpexcludes titles such asVP of MarketingorMarketing VP, EMEA. - job_title_orarray<string>default: []
Keyword-based patterns to match job titles. Case-insensitive. Returns jobs whose title contains all the words in any of the patterns, in any order. For example,
marketing vpmatches titles such asVP of MarketingorMarketing VP, EMEA. Passing["software engineer", "data scientist"]returns jobs matching either pattern. - job_title_pattern_andarray<string>default: []
Regex patterns to match job titles. Case-insensitive. Only jobs with title that match all of these patterns will be returned.
- job_title_pattern_notarray<string>default: []
Regex patterns to match job titles. Case-insensitive. Jobs whose job title doesn't match any of the patterns will be returned.
- job_title_pattern_orarray<string>default: []
Regex patterns to match job titles. Case-insensitive. Jobs whose job title matches of the filters will be returned.
- last_funding_round_date_gtestringnullabledate
Only return companies whose last funding round date is after or on this date. Format: 'YYYY-MM-DD'
- last_funding_round_date_ltestringnullabledate
Only return companies whose last funding round date is before or on this date. Format: 'YYYY-MM-DD'
- limitinteger1 <= valuedefault: 25
Number of results per page
- max_employee_countintegernullable
Maximum number of employees in a company
- max_employee_count_or_nullintegernullable
Maximum number of employees in a company. If we don't have company size information, we will return it as well.
- max_funding_usdintegernullable
Maximum company funding, in USD
- max_revenue_usdintegernullable
Maximum company revenue, in USD
- max_salary_usdnumbernullable
Maximum annual salary in USD. For example, 150000 means $150,000.
- min_employee_countintegernullable
Minimum number of employees in a company
- min_employee_count_or_nullintegernullable
Minimum number of employees in a company. If we don't have company size information, we will return it as well.
- min_funding_usdintegernullable
Minimum company funding, in USD
- min_revenue_usdintegernullable
Minimum company revenue, in USD
- min_salary_usdnumbernullable
Minimum annual salary in USD. For example, 100000 means $100,000.
- offsetinteger0 <= valuedefault: 0
Number of results to skip. Required for offset-based pagination.
- only_jobs_with_hiring_managersbooleannullabledeprecated
Only return jobs with a hiring manager. If True, only return jobs with a hiring manager. If False, only return jobs without a hiring manager. If None, return all jobs.
- only_jobs_with_reports_tobooleannullabledeprecated
Only return jobs where we identified the role the hired person would report to. Deprecated field, use reports_to_exists instead.
- only_yc_companiesbooleannullabledefault: false
Only return YC companies
- order_byarray<ColumnSortJobSearch>default: [{"desc":true,"field":"date_posted"},{"desc":true,"field":"discovered_at"}]deprecated
List of column objects. You can pass several columns to order by, in order of priority. Only
fieldis required,descis True by default. - pageinteger0 <= valuedefault: 0
Page number. Required when using page-based pagination.
- posted_at_gtestringnullabledate
ISO 8601 date string (yyyy-mm-dd). Only jobs published in this date or after will be returned.
- posted_at_ltestringnullabledate
ISO 8601 date string (yyyy-mm-dd). Only jobs published in this date or before will be returned.
- posted_at_max_age_daysintegernullable
Date posted max age in days. If 0, only return jobs posted today. If 1, from today and yesterday, etc.
- property_exists_andarray<string>default: []
- company_object.domain
- company_object.linkedin_url
- final_url
- hiring_team
- employment_statuses
- property_exists_orarray<string>default: []
Return jobs that have any of these fields not null. For example, if you pass ['final_url'], it will return jobs that have a final_url set. This field also support chaining of fields. For example, if you pass ['company_object.domain', 'company_object.linkedin_url'], it will return jobs that have a company domain or a company linkedin_url set.
- company_object.domain
- company_object.linkedin_url
- final_url
- hiring_team
- employment_statuses
- remotebooleannullable
True: only show remote jobs. False: only show non-remote jobs. None: show all jobs.
- reports_to_existsbooleannullabledeprecated
Only return jobs where we identified the role the hired person would report to. If True, only return jobs where we identified the role the hired person would report to. If False, only return jobs where we didn't identify the role the hired person would report to. If None, return all jobs.
- revealed_company_databooleannullabledeprecated
This field is deprecated and has no effect.
- scraper_name_pattern_orarray<string>default: []deprecated
Regex patterns to match job sources. Case-insensitive.
- url_domain_notarray<string>default: []
Exclude jobs if their URL domain (from
urlorsource_url) is in the provided case-insensitive list. For example, ['greenhouse.io', 'workable.com'] will exclude URLs containing 'greenhouse.io' or 'workable.com'. Refer to our list of sources at https://theirstack.com/en/docs/data/job/sources. - url_domain_orarray<string>default: []
Include jobs only if their URL domain (from
urlorsource_url) is in the provided case-insensitive list. For example, ['greenhouse.io', 'workable.com'] will match URLs containing 'greenhouse.io' or 'workable.com'. Refer to our list of sources at https://theirstack.com/en/docs/data/job/sources. - [key: string]never
Response Body
application/json
application/json
application/json
application/json
application/json
curl -X POST "https://api.theirstack.com/v1/jobs/search" \ -H "Content-Type: application/json" \ -d '{ "job_description_pattern_or": [ "analytics" ], "limit": 25, "page": 0, "posted_at_max_age_days": 30 }'{
"data": [
{
"avg_annual_salary_usd": 100000,
"cities": [
"New York",
"San Francisco",
"London",
"Paris",
"Sydney"
],
"closed_at": "2024-06-15T12:30:00Z",
"company": "Google",
"company_domain": "acme.com",
"company_object": {
"alexa_ranking": 1,
"annual_revenue_usd": 189000000,
"annual_revenue_usd_readable": "189M",
"apollo_id": "5b839bd0324d4445051f9a5a",
"city": "Mountain View",
"company_keywords": [
"string"
],
"company_tags": [],
"country": "United States",
"country_code": "string",
"domain": "google.com",
"employee_count": 7543,
"employee_count_range": "1001-5000",
"founded_year": 2019,
"funding_stage": "angel",
"has_blurred_data": false,
"id": "google",
"industry": "internet",
"industry_id": 0,
"investors": [
"string"
],
"is_recruiting_agency": true,
"keyword_slugs": [
"kafka",
"elasticsearch",
"lead-generation"
],
"last_funding_round_amount_readable": "$1.2M",
"last_funding_round_date": "2020-01-01",
"linkedin_id": "string",
"linkedin_url": "http://www.linkedin.com/company/google",
"logo": "https://example.com/logo.png",
"long_description": "Google is a California-based multinational technology company that offers internet-related services such as a search engine, online advertising and cloud computing.",
"name": "Google",
"num_buying_intent_topics": 0,
"num_jobs": 746,
"num_jobs_found": 23,
"num_jobs_last_30_days": 34,
"num_keywords": 0,
"num_technologies": 746,
"possible_domains": [],
"postal_code": "28040",
"publicly_traded_exchange": "NASDAQ",
"publicly_traded_symbol": "GOOG",
"seo_description": "string",
"technology_names": [
"Kafka",
"Elasticsearch"
],
"technology_slugs": [
"kafka",
"elasticsearch"
],
"total_funding_usd": 500000,
"url": "google.com",
"url_source": "string",
"yc_batch": "W21"
},
"continents": [
"North America",
"Europe",
"Asia",
"Australia",
"South America"
],
"countries": [
"United States",
"Canada",
"Spain",
"France",
"Australia"
],
"country": "United States",
"country_code": "US",
"country_codes": [
"US",
"CA",
"ES",
"FR",
"AU"
],
"date_posted": "2021-01-01",
"date_reposted": "2024-01-01",
"description": "## About the Role\nWe are looking for a Senior Data Engineer with 5+ years of experience in data engineering to join our growing data team. You will be responsible for designing and implementing scalable data pipelines, data models, and data warehouses that support our business intelligence and analytics initiatives.\n\n## Key Responsibilities\n- Design, build, and maintain robust, scalable data pipelines using modern data engineering tools and frameworks\n- Develop and optimize data models and schemas for data warehouses and data lakes\n- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions\n- Implement data quality monitoring and validation processes to ensure data accuracy and reliability\n- Optimize query performance and data processing workflows for large-scale datasets\n- Build and maintain ETL/ELT processes using tools like Apache Airflow, dbt, or similar\n- Work with cloud data platforms (AWS, GCP, or Azure) and their native data services\n- Establish data governance practices and ensure compliance with data privacy regulations\n- Mentor junior data engineers and contribute to technical documentation\n\n## Required Qualifications\n- Bachelor's degree in Computer Science, Engineering, or related technical field\n- 5+ years of experience in data engineering or related roles\n- Strong proficiency in Python and SQL\n- Experience with big data technologies (Spark, Kafka, Hadoop ecosystem)\n- Hands-on experience with cloud data platforms (AWS Redshift, GCP BigQuery, Azure Synapse, etc.)\n- Experience with data orchestration tools (Airflow, Prefect, or similar)\n- Knowledge of data modeling concepts and best practices\n- Experience with version control systems (Git) and CI/CD pipelines\n- Strong problem-solving skills and attention to detail\n\n## Preferred Qualifications\n- Experience with real-time data processing and streaming analytics\n- Knowledge of data visualization tools (Tableau, Looker, PowerBI)\n- Experience with containerization (Docker, Kubernetes)\n- Familiarity with machine learning workflows and MLOps practices\n- Experience with data governance and cataloging tools\n\n## What We Offer\n- Competitive salary and equity package\n- Comprehensive health, dental, and vision insurance\n- Flexible work arrangements and remote-friendly culture\n- Professional development budget for conferences and training\n- State-of-the-art equipment and technology stack\n- Collaborative and inclusive work environment\n- Opportunity to work with cutting-edge data technologies",
"discovered_at": "2024-01-01T00:00:00",
"easy_apply": true,
"employment_statuses": [
"full_time"
],
"final_url": "https://carecrafterhealth.com/careers/job-details/MFC286442-4",
"has_blurred_data": false,
"hiring_team": [
{
"first_name": "John Doe",
"full_name": "John Doe",
"image_url": "https://media.licdn.com/dms1234567890",
"linkedin_url": "https://www.linkedin.com/in/john-doe-1234567890",
"role": "CEO",
"thumbnail_url": "https://media.licdn.com/dms1234567890"
}
],
"hybrid": true,
"id": 1234,
"job_title": "Senior Data Engineer",
"keyword_slugs": [
"google-firebase",
"postgresql",
"lead-generation"
],
"latitude": 37.774929,
"location": "New York",
"locations": [
{
"admin1_code": "CA",
"admin1_name": "California",
"admin2_code": "101",
"admin2_name": "Sutter",
"continent": "NA",
"country_code": "US",
"country_name": "United States",
"display_name": "Live Oak, California, United States",
"feature_code": "PPL",
"id": 5367315,
"latitude": 37,
"longitude": -122,
"name": "Live Oak",
"state": "California",
"state_code": "CA",
"type": "city"
}
],
"long_location": "Methuen, MA 01844",
"longitude": -96.726486,
"manager_roles": [
"string"
],
"matching_phrases": [],
"matching_words": [],
"max_annual_salary": 100000,
"max_annual_salary_usd": 100000,
"min_annual_salary": 100000,
"min_annual_salary_usd": 100000,
"normalized_title": "string",
"postal_code": "01844",
"remote": true,
"reposted": true,
"salary_currency": "USD",
"salary_string": "$100,000 - $120,000",
"seniority": "c_level",
"short_location": "Tulsa, OK",
"source_url": "https://www.linkedin.com/jobs/view/1234567890",
"state_code": "OK",
"technology_slugs": [
"google-firebase",
"postgresql",
"jira"
],
"url": "https://example.com/job/1234"
}
],
"metadata": {
"total_companies": 1045,
"total_results": 2034,
"truncated_companies": 0,
"truncated_results": 0
}
}{
"error": {
"code": "E-001",
"description": "string",
"title": "Not allowed exception"
},
"request_id": null
}{
"error": {
"code": "E-001",
"description": "string",
"title": "Not allowed exception"
},
"request_id": null
}{
"error": {
"code": "E-001",
"description": "string",
"title": "Not allowed exception"
},
"request_id": null
}{
"error": {
"code": "E-001",
"description": "string",
"title": "Not allowed exception"
},
"request_id": null
}How is this guide?
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Company Search POST
This endpoint lets you search for companies by technology stack, hiring signals, and firmographics. It returns a list of companies that match the search criteria, along with the jobs and technology objects for each company that match the filters you've passed.