FlexJobs Remote Jobs Scraper

Extract comprehensive remote and flexible job data from FlexJobs public listings in a clean, analysis-ready dataset. Collect role, company, location, schedule, compensation, and posting signals at scale for research, monitoring, and automation workflows.

Features

• Rich job records — Capture detailed fields including company info, locations, remote options, categories, schedule, and salary details.
• Clean output quality — Remove empty fields and keep records normalized for dashboards, alerts, and exports.
• Duplicate-safe collection — Prevent repeated jobs across overlapping pages and categories.
• Flexible crawl control — Set how many jobs to collect and how deep to go per starting URL.
• Description enrichment — Attempt to improve description_text from job detail pages when fuller text is available.
• Paywall-aware output — Many jobs are paywalled, and those records may contain reduced fields or summary-only descriptions.

Use Cases

Remote Talent Market Tracking

Monitor new remote roles by function, seniority, and location patterns. Use the dataset to detect hiring surges and market shifts.

Competitive Hiring Intelligence

Compare companies, job categories, and compensation signals over time. Build repeatable market snapshots for planning and strategy.

Job Feed Automation

Power newsletters, internal opportunity feeds, and job alert pipelines with structured and deduplicated records.

Compensation Benchmarking

Analyze salary ranges and compensation formats by role type, geography, and remote level.

Geographic Opportunity Mapping

Track candidate location eligibility and region coverage for distributed teams and mobility research.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	2 starter listing URLs	Listing URLs to begin extraction from
results_wanted	Integer	No	20	Maximum number of jobs to save
maxPagesPerList	Integer	No	25	Maximum page depth per start URL
proxyConfiguration	Object	No	{"useApifyProxy": false}	Proxy settings for reliability

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Output Data

Each dataset item can include:

Field	Type	Description
source	String	Source identifier
source_type	String	Source payload type
url	String	Public job URL
title	String	Job title
company	String	Company 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	Job location list
allowed_candidate_locations	Array	Candidate-eligible locations
states	Array	State list when provided
countries	Array	Country list when provided
cities	Array	City list when provided
remote_options	Array	Remote options list
remote_level	String	Primary remote classification
job_types	Array	Job type list
job_type	String	Primary job type
job_schedules	Array	Schedule list
schedule	String	Primary schedule
salary	String	Salary/compensation text
salary_min	Number	Minimum salary when available
salary_max	Number	Maximum salary when available
salary_unit	String	Salary period unit
salary_currency	String	Salary currency code/text
career_level	String or Array	Career level data
category	String	Primary category
categories	Array	Category labels
job_categories	Array	Job category labels
education_levels	Array	Education level requirements
description_text	String	Best available job description text (often summary-only for paywalled jobs)
description_source	String	Description source indicator
job_summary	String	Job summary text
date_posted	String	Posted timestamp
created_on	String	Creation timestamp
valid_through	String	Expiration timestamp when available
job_id	String	Canonical job identifier
slug	String	Job slug
apply_url	String	Apply URL when available
travel_required	String	Travel requirement text
coordinates	Object	Latitude/longitude when available
is_flexible_schedule	Boolean	Flexible schedule flag
is_telecommute	Boolean	Telecommute flag
is_freelancing_contract	Boolean	Freelance/contract flag
featured	Boolean	Featured listing flag
is_free_job	Boolean	Free job flag
hosted	Boolean	Hosted listing flag
track_properties	Object	Additional tracking metadata
scraped_at	String	Extraction timestamp

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Usage Examples

Basic Remote Jobs Extraction

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

Multi-Category Collection

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

Reliability-Focused Run

{
  "startUrls": [
    "https://www.flexjobs.com/remote-jobs"
  ],
  "results_wanted": 50,
  "maxPagesPerList": 25,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

---

Sample Output

{
  "source": "flexjobs",
  "source_type": "_next_data",
  "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"
}

---

Tips for Best Results

Start With Broad Listings

• Use broad listing pages first to capture a wider spread of roles.
• Add niche category URLs when you need targeted subsets.

Keep Test Runs Small

• Start with results_wanted: 20 for quick validation.
• Increase limits after confirming output quality and speed.

Use Proxy for Higher Reliability

• Enable proxy in production workloads to reduce blocking risk.
• Keep retries and page limits practical for faster completion.

Validate Description Expectations

• Most jobs are guarded by a paywall, so many records include shorter summary descriptions.
• Paywalled jobs can also have less complete field coverage than fully visible listings.
• Use description_source to track where description text came from.

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Integrations

Connect your dataset with:

• Google Sheets — Build live job tracking sheets
• Airtable — Create searchable role databases
• Slack — Trigger alerts for new matching jobs
• Make — Automate collection and downstream actions
• Zapier — Route records into CRM and reporting tools
• Webhooks — Send records to custom pipelines

Export Formats

• JSON — API and engineering workflows
• CSV — Spreadsheet analysis
• Excel — Business reporting
• XML — Structured integrations

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Frequently Asked Questions

How many jobs can I collect in one run?

You can collect as many as available within your results_wanted and page depth limits.

Why are some descriptions shorter than expected?

Most listings are paywalled. Paywalled jobs often expose only summary descriptions and sometimes fewer overall fields. The actor stores the best available text and marks the source.

Can I run multiple categories at once?

Yes. Provide multiple URLs in startUrls to combine categories in one run.

How does duplicate handling work?

Records are deduplicated using stable job identifiers and canonical job URLs.

Can I use this data for trend dashboards?

Yes. The normalized fields are suitable for analytics, alerts, and market monitoring pipelines.

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Support

For issues or feature requests, use the Apify Console issue/support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection and research use cases. You are responsible for complying with applicable laws, platform terms, and responsible usage practices.