ADP Jobs API

Warning, breaking changes from 2026-06-08!

We're launching our new API on Fantastic.jobs! This comes with some changes to this Apify Actor as well. Please review the migration changelog carefully.

Some features of our new API are not available on Apify. Also, if you're retrieving more than 5,000 jobs per month, the API will likely be a better deal:

• ATS, LinkedIn, Y Combinator, and Wellfound jobs combined under a single plan
• An endpoint for modified jobs
• Expired jobs endpoints with hourly refresh, compared to daily refresh on Apify
• Advanced company details with Glassdoor, Crunchbase, and news articles
• Endpoints to count the number of jobs before retrieving them
• Advanced filtering parameters with Boolean search for job title, location, and description
• Much faster response times

If you're interested, start building with the new API: developer.fantastic.jobs If not, please carry on below!

The perfect actor for job boards requiring backfill of high quality jobs for this ATS! We scrape data from career sites using this ATS, covering thousands of companies. Jobs are stored in our database and enriched with AI and LinkedIn company profiles. Expired jobs are removed once per day.

The maximum number of jobs per run is 5,000. If you wish to go over this number, please reach out to us!

Looking for jobs from multiple ats? Please check out our Career Site Job Listing API

• Do you love this Actor? Please leave a review!
• Any issues or feedback? Please create an issue!
• Missing an organization? Please let us know and we might be able to add it to the database

Technical Details

• This Actor calls a database that includes career site jobs from this ATS, posted during the last 6 months.

• Our scrapers run continuously and new jobs are added to the database twice per hour after enrichment is complete

• Expired jobs are removed once per day

• All jobs in the database are unique based on their URL. However, organizations occasionally create duplicates themselves. More commonly, organizations sometimes create the same job listing for multiple cities or states. If you wish to create a rich and unique dataset, we recommend further deduplication on title + organization, or title + organization + locations

• We extract useful job details from the description with an LLM. We are currently enriching over 99.9% of all jobs. Please note that our enrichment is a simple one-shot prompt on each job description, so there might be some errors.

• We attempt to map every job to a LinkedIn Company profile, bringing in useful data like the number of employees, industry, and more. Please note that this enrichment is AI assisted, so there might be some errors. We've measured accuracy at 99%. Over 95% of jobs include LinkedIn Company data.

• We're currently building out our systems to identify jobs that have been changed after posting. Some ATS are already being checked and new ones are being added every week. Jobs that have been changed can be identified by the 'date_modified' and 'modified_fields' fields.

• Domain Derived. Since ATS platforms don't always include the domain or homepage of the company, we've developed a system to identify the company's domain. This can be very helpful to do further analysis and enrichments. The accuracy is ~98%

FAQ

Wait, this isn't a scraper?
Technically, no, or yes? We scrape all jobs in the backend, and you're accessing our database with scraped jobs with a small delay. This is a much more reliable system since we're targeting over 200,000 company career sites across multiple ATS platforms. This also allows us to enrich and derive data before sharing it with you, adding more value per job!

I wish to retrieve only new jobs, is this possible?
Please check out our Career Site Job Listing API

Can I see how many jobs will be returned for my query Not at the moment, please test with the free plan or create an issue and we'll have a look for you! Make sure to include all parameters.

How can I retrieve a XML with the jobs from my latest run?

• Follow the documentation to create a saved task: https://docs.apify.com/platform/actors/running/tasks
• Create a schedule for the task: https://docs.apify.com/platform/schedules
• Copy the following endpoint to access the latest succesfull run from your scheduled task:

  • Replace task-id with the the id of your task, which is the last string of characters in the task's url:

  • Replace apiKey with your api key. You can find your API key at 'Settings' --> 'API & Integrations'

https://api.apify.com/v2/actor-tasks/*task-id*/runs/last/dataset/items?token=*apiKey*&format=xml&status=SUCCEEDED

You can export in several formats, not just XML. Please see the documentation for more information:

https://docs.apify.com/api/v2/actor-task-runs-last-get

https://docs.apify.com/api/v2/dataset-items-get

Input Parameters

Maximum Jobs

The maximum number of jobs that can be retrieved in a single run. Must be between 200 and 5,000.

Please set the memory to 512 for runs above 2,000 jobs!

Search Parameters

Our search parameters allow you to include or exclude jobs based on keywords. You may include :* for prefix matching (e.g., 'Soft:*' will match 'Software', 'Softball', etc.)

Location search uses phrase matching, so you must use the exact 'City, State/Region, Country' format. All locations use English names (e.g., 'Munich' not 'München', 'Bavaria' not 'Bayern'). For the UK, use the constituent country as the state (e.g., 'London, England, United Kingdom', 'Edinburgh, Scotland, United Kingdom'). For the US, use the full state name (e.g., 'New York, New York, United States', 'San Francisco, California, United States'). You can also search by just a country (e.g., 'United Kingdom') or a city (e.g., 'London'). Do not use abbreviations (NY, US, UK). If anything is unclear or you're unsure about the correct format for a location, please create an issue.

WARNING. The description searches are VERY intensive and at risk of time-out. Please be very specific, limit your searches to a handful of keywords, and combine with one of the other searches, preferably titleSearch. If you receive errors while using descriptionSearch or descriptionExclusionSearch, please reach out to us. We're here to

• titleSearch: Terms to search in job titles
• titleExclusionSearch: Terms to exclude from job titles
• locationSearch: Terms to search in job locations
• locationExclusionSearch: Terms to exclude from job locations
• descriptionSearch: Terms to search in job descriptions (includes title)
• descriptionExclusionSearch: Terms to exclude from job descriptions (includes title)
• organizationSearch: Terms to search in organization names
• organizationExclusionSearch: Terms to exclude from organization names

Domain Filter

Alternative for organizationSearch. Allows filtering on company domain instead of searching on name. Requires an exact match.

• domainFilter: Domains to include
• domainExclusionFilter: Domains to exclude

Description Type

Type of description to fetch. Options:

• text: Plain text description
• html: HTML formatted description

Remote (deprecated, use AI Work Arrangement)

The remote only (legacy) parameter is deprecated. When set to true it is translated to aiWorkArrangementFilter = Remote OK,Remote Solely, and it is ignored if you set aiWorkArrangementFilter explicitly. Use the AI Work Arrangement filter directly for more precise results.

Remove Agency Jobs

• removeAgency: Filter out recruitment agencies

AI Filters

AI-enriched fields are now included by default. The includeAi parameter has been removed.

• aiEmploymentTypeFilter: Filter by employment type. Available options: FULL_TIME, PART_TIME, CONTRACTOR, TEMPORARY, INTERN, VOLUNTEER, PER_DIEM, OTHER

• aiWorkArrangementFilter: Filter by work arrangement. Remote OK = remote with an office available. Remote Solely = remote with no office available. Include both to include all remote jobs. Available options: On-site, Hybrid, Remote OK, Remote Solely

• hasSalary: Filter for jobs with salary information only. Set to false to include all jobs. Results include jobs that have either an AI enriched salary or a raw salary (discovered in the job posting schema). (Previously aiHasSalary, which still works as a deprecated alias.)

• aiExperienceLevelFilter: Filter by years of experience. Available options: 0-2, 2-5, 5-10, 10+

• aiVisaSponsorshipFilter: Filter for jobs offering visa sponsorship only. Set to false to include all jobs.

• aiTaxonomiesFilter: Filter by AI taxonomies. This filter is quite broad. Available options: Technology, Healthcare, Management & Leadership, Finance & Accounting, Human Resources, Sales, Marketing, Customer Service & Support, Education, Legal, Engineering, Science & Research, Trades, Construction, Manufacturing, Logistics, Creative & Media, Hospitality, Environmental & Sustainability, Retail, Data & Analytics, Software, Energy, Agriculture, Social Services, Administrative, Government & Public Sector, Art & Design, Food & Beverage, Transportation, Consulting, Sports & Recreation, Security & Safety

• aiTaxonomiesPrimaryFilter: Filter by primary AI taxonomy. This filter will select jobs based on their primary AI Taxonomy

• aiTaxonomiesExclusionFilter: Exclude jobs by AI taxonomies.

LinkedIn Filters

• includeCompanyDetails: Include basic company data fields (LinkedIn, Crunchbase, logo). We use AI to map each job to a LinkedIn organization. We map over 95% of all jobs with 99% accuracy. (Previously includeLinkedIn, which still works as a deprecated alias.)

• liIndustryFilter: Filter by LinkedIn industries. You can find an overview on our website: LinkedIn Industries

• liOrganizationEmployeesLte: Maximum number of employees in the company. Must be greater than or equal to 0.

• liOrganizationEmployeesGte: Minimum number of employees in the company. Must be greater than or equal to 0.

Output Schema

Output Fields

Name	Description	Type
id	The job's internal ID, also used for expiration. Now returned as an integer (previously a stringified number).	number
title	Job Title	text
organization	Name of the hiring organization	text
organization_url	URL to the organization's page	text
organization_logo	Deprecated: ATS-supplied logo URL that may break or expire. Prefer org_logo_permalink.	text
date_posted	Date & Time of posting	timestamp
date_created	Date & Time of indexing in our systems	timestamp
date_valid_through	Date & Time of the future expiry date. Null in most cases.	timestamp
locations	Source-supplied location objects per the Google JobPosting schema. Use the *_derived fields for normalized, geocoded values.	json[]
locations_alt	Fallback location string used when the source ATS doesn't supply structured location data.	text
locations_derived	Derived location data, matched with a database. This is the field you search locations on.	text[] [{city, admin (state), country}]
location_type	To identify remote jobs: 'TELECOMMUTE' per the Google JobPosting schema	text
location_requirements	Location requirement to accompany remote (TELECOMMUTE) jobs per the Google JobPosting schema.	json[]
salary	Source-supplied salary object per the Google JobPosting schema. Often partial; prefer the ai_salary_* fields.	json
employment_type	Types like 'Full Time', 'Contract', 'Internship'. Usually a single value; prefer ai_employment_type.	text[]
url	The URL of the job, can be used to direct traffic to apply for the job	text
source	the source ATS or career site	text
source_type	always 'ats' for this Actor	text
source_domain	the domain of the career site. Not present for all ATS; use domain_derived.	text
description_text	plain text job description - if included	text
description_html	raw HTML job description - if included	text
cities_derived	All cities from locations_derived	json[]
regions_derived	All regions/states/provinces from locations_derived	json[]
countries_derived	All countries from locations_derived	json[]
timezones_derived	Timezones derived from locations_derived	json[]
lats_derived	lats derived from locations_derived	json[]
lngs_derived	lngs derived from locations_derived	number[]
counties_derived	All counties from locations_derived. Only present when cities_derived is not.	text[]
date_modified	Date & Time of job modification being discovered and parsed in our database	timestamp
modified_fields	The fields that have been modified during our job modification checks	text[]
domain_derived	We use AI to discover the domain of the employer's main website. The accuracy of this field is ~98%	text

AI Output Fields

These AI-enriched fields are included by default (the deprecated includeAi parameter has been removed). These fields are derived from the text with an LLM and might contain mistakes.

Name	Description	Type
ai_salary_currency	The salary currency	text
ai_salary_value	The salary value, if there's a single salary with no salary range	numeric
ai_salary_min_value	The minimum salary in a range	numeric
ai_salary_max_value	The maximum salary in a range	numeric
ai_salary_unit_text	If the salary is per HOUR/DAY/WEEK/MONTH/YEAR	text
ai_benefits	An array with other non-salary benefits mentioned in the job listing	text[]
ai_experience_level	years of experience required, one of: 0-2, 2-5, 5-10, or 10+	text
ai_work_arrangement	Remote Solely/Remote OK/Hybrid/On-site. Remote solely is remote without an office available, Remote OK is remote with an optional office.	text
ai_work_arrangement_office_days	when work_arrangement is Hybrid, returns the number of days per week in office	bigint
ai_remote_location	When remote but only in a certain location, returns the location	text[]
ai_remote_location_derived	Derived remote location data, which is the raw data (ai_remote_location) matched with a database of locations. This is the same database as the locations_derived field.	text[]
ai_key_skills	An array of key skills mentioned in the job listing	text[]
ai_hiring_manager_name	If present, the hiring manager name	text
ai_hiring_manager_email_address	If present, the hiring manager's email address	text
ai_core_responsibilities	A 2-sentence summary of the job's core responsibilities	text
ai_requirements_summary	A 2-sentence summary of the job's requirements	text
ai_working_hours	The number of required working hours. Defaults to 40 if not mentioned	bigint
ai_employment_type	One or more employment types as derived from the job description: FULL_TIME/PART_TIME/CONTRACTOR/TEMPORARY/INTERN/VOLUNTEER/PER_DIEM/OTHER	text[]
ai_job_language	The language of the job description	text
ai_visa_sponsorship	Returns true if the job description mentions Visa sponsorship opportunities	boolean
ai_keywords	An array of AI extracted keywords from the job description	text[]
ai_taxonomies_a	Up to 5 AI-assigned taxonomies ordered by relevancy; the first item is the primary taxonomy	text[]
ai_education	An array of AI extracted education requirements from the job description	text[]

Company Output Fields

Set includeCompanyDetails to true to include the fields in this table (the old includeLinkedIn name still works as a deprecated alias). These fields are matched to the job company with AI and might contain mistakes.

Name	Description	Type
org_linkedin_name	The company's full name from LinkedIn	text
org_linkedin_headcount	the number of employees within the job's company according to LinkedIn	int
org_linkedin_website	url to the company's main website	text
org_linkedin_size	the employee count range according to the company	text
org_linkedin_slogan	the company's slogan	text
org_linkedin_industry	the company's industry. This is a fixed list that the company can choose from, so could be useful for classification. Keep in mind that this is in the language of the company's HQ	text
org_linkedin_followers	the company's followers on LinkedIn	int
org_linkedin_headquarters	the company's HQ location	text
org_linkedin_type	the company's type, like 'Privately Held', 'Public', etc	text
org_linkedin_founded_date	the company's founded date	text
org_linkedin_specialties	the company's specialties	text[]
org_linkedin_locations	the full address of the company's locations	text[]
org_linkedin_description	the description of the company's LinkedIn page	text
org_linkedin_recruitment_agency_derived	If the company is a recruitment agency or job board, true or false (AI-identified). The accuracy may vary.	bool
org_linkedin_slug	The company-specific part of the LinkedIn URL (e.g. 'tesla-motors' in https://www.linkedin.com/company/tesla-motors/). Always returned, regardless of this flag, so jobs can be joined to organization data.	text
org_crunchbase_categories	List of Crunchbase categories the company is tagged with	text[]
org_crunchbase_total_investment	Total investment in USD raised by the company according to Crunchbase	int
org_logo_permalink	Stable hosted URL for the company's logo	text

Deprecated Fields

These fields keep their old names during the migration window and mirror their new counterparts (same values). They are scheduled for removal on 2026-06-22 — please migrate to the new names before then. The remote_derived output field has been removed; use ai_work_arrangement instead.

Deprecated field	Use instead	Type
date_validthrough	date_valid_through	timestamp
locations_raw	locations	json[]
locations_alt_raw	locations_alt	text
location_requirements_raw	location_requirements	json[]
salary_raw	salary	json
ai_salary_minvalue	ai_salary_min_value	numeric
ai_salary_maxvalue	ai_salary_max_value	numeric
ai_salary_unittext	ai_salary_unit_text	text
ai_education_requirements	ai_education	text[]
linkedin_org_employees	org_linkedin_headcount	int
linkedin_org_url	org_linkedin_website	text
linkedin_org_size	org_linkedin_size	text
linkedin_org_slogan	org_linkedin_slogan	text
linkedin_org_industry	org_linkedin_industry	text
linkedin_org_followers	org_linkedin_followers	int
linkedin_org_headquarters	org_linkedin_headquarters	text
linkedin_org_type	org_linkedin_type	text
linkedin_org_foundeddate	org_linkedin_founded_date	text
linkedin_org_specialties	org_linkedin_specialties	text[]
linkedin_org_locations	org_linkedin_locations	text[]
linkedin_org_description	org_linkedin_description	text
linkedin_org_slug	org_linkedin_slug	text
linkedin_org_recruitment_agency_derived	org_linkedin_recruitment_agency_derived	bool