FlexJobs Scraper

What does FlexJobs Remote Jobs Scraper do?

FlexJobs Remote Jobs Scraper collects remote and flexible job listings from public FlexJobs listing pages. Provide one or more FlexJobs category or search URLs, choose the maximum number of jobs and pages to visit, and receive a structured dataset with job titles, companies, locations, remote classifications, schedules, salary signals, descriptions, dates, and application links.

The dataset is useful for remote hiring research, job-board aggregation, recruiting workflows, compensation analysis, workforce monitoring, and recurring job-market snapshots. Results are saved as individual job records and can be downloaded in the standard Apify dataset formats.

Why use FlexJobs Remote Jobs Scraper?

• Structured remote job data - Collect role, employer, location, schedule, compensation, category, and posting information in consistent fields.
• Multiple listing sources - Start with several FlexJobs listing URLs in one run, including broad remote-job pages and category-specific pages.
• Controlled collection size - Use results_wanted to set the maximum number of jobs and maxPagesPerList to limit page depth for each starting URL.
• Cleaner datasets - Duplicate jobs are skipped when the same listing appears on overlapping categories or pages.
• Useful source links - Each normal record includes a public FlexJobs job URL and an application URL when FlexJobs provides one.
• Automation-ready output - Download JSON, CSV, Excel, or XML, or connect the dataset to Apify workflows such as schedules, webhooks, and downstream integrations.

What data can you extract from FlexJobs?

The actor writes one dataset item per accepted public job listing. The dataset view highlights title, company, location, salary, job_type, date_posted, and url. Additional fields are available when the source listing provides them.

Field	Type	Description
source	String	Source identifier, normally flexjobs.
url	String	Public FlexJobs job detail URL.
title	String	Job title.
company	String	Employer name.
company_id	String	Company identifier when available.
company_slug	String	Company slug when available.
company_logo	String	Company logo URL when available.
location	String	Primary location text.
job_locations	Array	Locations associated with the job.
allowed_candidate_locations	Array	Locations from which candidates may apply when provided.
states	Array	State values supplied by the listing.
countries	Array	Country values supplied by the listing.
cities	Array	City values supplied by the listing.
remote_options	Array	Remote or workplace options from the listing.
remote_level	String	Primary remote classification.
job_types	Array	Job type values supplied by the listing.
job_type	String	Primary job type or employment type.
job_schedules	Array	Schedule values supplied by the listing.
schedule	String	Primary schedule, such as full-time, when available.
salary	String	Original salary or compensation text when available.
salary_min	Number	Minimum numeric salary value when available.
salary_max	Number	Maximum numeric salary value when available.
salary_unit	String	Salary period or unit when available.
salary_currency	String	Salary currency value when available.
career_level	String, Array, or Object	Career or seniority information when supplied.
category	String	Primary job category.
categories	Array	General category labels.
job_categories	Array	Job-specific category labels.
tags	Array	Listing tags when available.
education_levels	Array	Education-level requirements when available.
description_text	String	Best available plain-text job description or summary.
description_source	String	Indicates whether the description came from the listing summary or a detail-page enrichment attempt.
job_summary	String	Job summary when available.
date_posted	String	Normalized posting date or timestamp.
created_on	String	Creation timestamp when available.
valid_through	String	Expiration timestamp when available.
job_id	String	Job identifier.
slug	String	Job slug when available.
apply_url	String	Employer or application URL when available.
travel_required	String	Travel requirement text when available.
coordinates	Object	Latitude and longitude when supplied.
is_flexible_schedule	Boolean	Whether the listing indicates a flexible schedule.
is_telecommute	Boolean	Whether the listing indicates telecommuting.
is_freelancing_contract	Boolean	Whether the listing indicates freelance or contract work.
featured	Boolean	Featured-listing flag when supplied.
is_free_job	Boolean	Free-job flag when supplied.
hosted	Boolean	Hosted-listing flag when supplied.
track_properties	Object	Additional source tracking metadata when available.
scraped_at	String	ISO timestamp for when the record was collected.

Supported input methods

You can configure the actor in the Apify Console input form or send the same JSON object through an Apify run or automation workflow. The actor accepts a list of FlexJobs listing URLs. It does not accept a keyword, location, salary, date, or employment-type filter as a separate input field. Use the relevant FlexJobs listing or category URL to define the collection scope.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array of strings	No	https://www.flexjobs.com/remote-jobs and https://www.flexjobs.com/remote-jobs/legitimate-work-from-home-jobs-hiring-now	FlexJobs listing URLs to use as starting points. Multiple URLs can be supplied in one run.
results_wanted	Integer	No	20	Maximum number of job records to save. Minimum accepted value is 1.
maxPagesPerList	Integer	No	25	Maximum number of pages to visit for each starting URL. Minimum accepted value is 1.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify proxy settings for request routing and reliability.

Start URLs should be public FlexJobs listing pages, such as /remote-jobs or a category beneath /remote-jobs/. The actor may discover additional FlexJobs listing and pagination URLs from those pages, subject to the page limit and result limit.

How to use FlexJobs Remote Jobs Scraper

1. Open the actor in Apify Console.
2. Add one or more public FlexJobs listing URLs to startUrls.
3. Set results_wanted for the desired dataset size.
4. Adjust maxPagesPerList if the starting pages contain more results than one page.
5. Enable an Apify proxy configuration when your run needs proxy routing.
6. Start the run and review the dataset preview.
7. Download the results or connect the dataset to your job research, reporting, or automation workflow.

Usage Examples

Basic remote jobs collection

Collect up to 20 jobs from the main FlexJobs remote jobs listing.

{
  "startUrls": [
    "https://www.flexjobs.com/remote-jobs"
  ],
  "results_wanted": 20
}

Multiple job categories

Collect jobs from two FlexJobs category pages in the same run, with duplicate records removed.

{
  "startUrls": [
    "https://www.flexjobs.com/remote-jobs/computer-it",
    "https://www.flexjobs.com/remote-jobs/customer-service-call-center"
  ],
  "results_wanted": 80,
  "maxPagesPerList": 20
}

Larger run with Apify Proxy

Use a larger result and page limit while enabling the optional proxy configuration.

{
  "startUrls": [
    "https://www.flexjobs.com/remote-jobs"
  ],
  "results_wanted": 100,
  "maxPagesPerList": 25,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

The following is a representative single dataset item. Fields that are unavailable on a source listing are omitted from that item.

{
  "source": "flexjobs",
  "url": "https://www.flexjobs.com/publicjobs/director-marketing-ai-transformation-3420c1ce-1f38-4f77-acd5-9a8a47a469be",
  "title": "Director, Marketing AI Transformation",
  "company": "Dynatrace",
  "company_id": "1343",
  "location": "US National",
  "remote_level": "100% Remote Work",
  "job_type": "Employee",
  "schedule": "Full-Time",
  "salary": "166,000.00 - 210,000.00 USD Annually",
  "category": "Computer & IT",
  "description_text": "Lead the Marketing AI roadmap and investment priorities, including quarterly planning and use case prioritization...",
  "description_source": "listing_summary",
  "date_posted": "2026-03-26T05:12:35.000Z",
  "job_id": "3420c1ce-1f38-4f77-acd5-9a8a47a469be",
  "apply_url": "https://www.dynatrace.com/careers/jobs/1375016100/",
  "scraped_at": "2026-03-26T08:41:49.447Z"
}

Data-quality behavior and limitations

• Empty values are omitted - The actor normalizes whitespace and removes empty or null fields from saved records. A missing field generally means the source did not provide a usable value for that listing.
• Public listings only - The actor is intended for public FlexJobs listing and job-detail URLs. It does not accept login credentials or collect private account content.
• Descriptions may be summaries - Some FlexJobs jobs expose only a short or restricted description. The actor keeps the best available text and records its origin in description_source. A detail-page enrichment attempt may replace a short listing summary when fuller public text is available.
• Salary is source-dependent - salary, salary_min, salary_max, salary_unit, and salary_currency are populated only when the listing provides compensation information. Salary values are not estimated.
• Page and result limits apply - The actor stops when it reaches results_wanted, the calculated page limit, or the available listing queue. A large limit does not guarantee that many records if the supplied pages contain fewer accepted jobs.
• Only valid public job URLs are saved - Records without a usable /publicjobs/ URL are discarded. A limited fallback record may contain only the source, title, URL, and collection timestamp when richer listing data is unavailable.
• Source pages can change - FlexJobs may change listing content, availability, or page structure. Review a small run first and report recurring extraction problems through the actor's Issues tab.

Tips for best results

• Use broad /remote-jobs pages for wider market coverage and category URLs for a narrower dataset.
• Start with results_wanted: 20 and increase it after checking the dataset preview.
• Use multiple non-overlapping category URLs when you need to compare specific job areas.
• Keep maxPagesPerList high enough to reach the requested result count, but use a smaller value for quick tests.
• Compare description_source and the presence of salary fields before using the data for benchmarking.
• Use the same URLs and limits in scheduled runs when building comparable hiring or labor-market snapshots.

Integrations and export formats

Apify datasets can be downloaded or connected to common workflow tools:

• JSON - Use structured job records in applications, scripts, and data pipelines.
• CSV - Analyze titles, companies, locations, and salary fields in spreadsheet tools.
• Excel - Share job-market reports with business and recruiting teams.
• XML - Pass records to systems that require XML exports.
• Google Sheets, Airtable, Make, or Zapier - Route dataset records into research, reporting, notifications, or enrichment workflows.
• Webhooks and schedules - Trigger downstream actions or repeat collection from Apify according to your workflow.

Frequently Asked Questions

Can I filter jobs by keyword or location?

No. The actor does not have separate keyword or location inputs. Start with a FlexJobs URL whose listing scope matches your target category or use the returned fields for filtering after collection.

Can I provide more than one FlexJobs URL?

Yes. Add multiple listing URLs to the startUrls array. The actor can follow discovered listing pages and skips duplicate jobs found across overlapping sources.

Why is a description shorter than expected?

Some public FlexJobs listings expose only summary text or restricted details. The actor saves the best available public description and identifies whether it came from the listing summary or a detail-page enrichment attempt.

Are salary values complete for every job?

No. Salary data is included only when FlexJobs publishes it. Missing salary fields should be treated as unavailable source data, not as a zero salary.

Can I schedule recurring runs?

Yes. Apify scheduling can run the actor repeatedly with the same input so you can compare job-market snapshots over time.

Can I export the dataset to CSV or Excel?

Yes. Apify supports dataset exports including JSON, CSV, Excel, and XML, subject to the formats available for the dataset view.

Is it legal to collect FlexJobs data?

You are responsible for complying with FlexJobs terms, applicable laws, privacy requirements, and any restrictions that apply to your intended use. Collect and use public job data responsibly.

Related Actors

• RemoteOk Job Scraper - Collect remote job listings from RemoteOK for comparison with FlexJobs data.
• WeWorkRemotely Jobs Scraper - Collect remote job listings from WeWorkRemotely for broader remote-work research.
• USA Jobs Scraper - Collect public USAJobs listings for federal hiring and workforce analysis.

Support

For issues or feature requests, use the actor's Issues tab and include the input URL, settings, and a description of the unexpected output.

Legal Notice

This actor is intended for legitimate collection and analysis of publicly available job information. You are responsible for complying with FlexJobs terms, applicable laws, privacy rules, and responsible data-use requirements.