Robert Half Jobs Scraper

Extract structured job listings from Robert Half at scale. Collect job titles, locations, pay ranges, descriptions, skills, and useful identifiers in a clean dataset you can export to your favorite tools.

Features

• Keyword & location search — Find roles by title, skill, and region
• Remote filter — Focus on remote-only or on-site roles
• Rich job details — Descriptions, skills, pay info, posting dates, and links
• Pagination controls — Limit results with results_wanted and max_pages
• Deduplication — Avoid duplicate job listings

Use Cases

Job Aggregation

Build job board feeds or internal dashboards with consistent fields and stable URLs.

Market Intelligence

Track hiring activity over time and compare demand across locations and job types.

Salary Benchmarking

Collect pay ranges and rate information for compensation analysis.

Skills & Role Research

Analyze recurring skill requirements and responsibilities across roles.

Recruiting Workflows

Create targeted shortlists for outreach, sourcing, and pipeline building.

Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"accountant"	Keyword or job title to search for
location	String	No	"New York"	City, state, or region
specialization	String	No	""	Specialization filter (leave empty for all)
jobType	String	No	""	Employment type filter (leave empty for all)
remote	String	No	"Any"	Remote filter: "Any", "yes", "No"
results_wanted	Integer	No	100	Maximum number of jobs to collect
max_pages	Integer	No	20	Maximum pages to process (25 jobs per page)
collectDetails	Boolean	No	false	Backward compatibility flag (no effect)
proxyConfiguration	Object	No	—	Proxy settings for more reliable collection

Output Data

Each item in the dataset contains:

Field	Type	Description
title	String	Job title
company	String	Company name (always "Robert Half")
location	String	Human-readable location
salary	String	Formatted pay range (when available)
job_type	String	Employment type
remote	String	Normalized remote value (e.g., Remote, On-site)
date_posted	String	Posting date (ISO 8601 when available)
description	String	Plain-text job description
description_html	String	Job description with formatting (HTML)
skills	String	Plain-text skills/requirements
skills_html	String	Skills/requirements with formatting (HTML)
boiler_plate_html	String	Standard footer/disclaimer text (HTML)
url	String	Direct job URL
job_id	String	Unique job identifier
city	String	City (when available)
stateprovince	String	State/region (when available)
postal_code	String	Postal code (when available)
country	String	Country code (when available)
payrate_min	String	Minimum rate (when available)
payrate_max	String	Maximum rate (when available)
payrate_period	String	Rate period (e.g., Hourly)
salary_currency	String	Currency code (e.g., USD)
source	String	Source domain (roberthalf.com)
source_system	String	Source system label (when available)

Usage Examples

Finance Jobs in New York

{
  "keyword": "Financial Analyst",
  "location": "New York, NY",
  "specialization": "Finance & Accounting",
  "jobType": "Perm",
  "results_wanted": 50
}

Remote Technology Positions

{
  "keyword": "Software Developer",
  "location": "",
  "specialization": "Technology",
  "remote": "yes",
  "results_wanted": 100,
  "max_pages": 10
}

Temporary Administrative Roles

{
  "keyword": "Administrative Assistant",
  "location": "California",
  "specialization": "Administrative & Customer Support",
  "jobType": "Temp",
  "results_wanted": 75
}

Sample Output

{
  "title": "Sr. Accountant",
  "company": "Robert Half",
  "location": "Purchase, NY",
  "salary": "$40 - $45 / Hourly",
  "job_type": "Temp",
  "remote": "On-site",
  "date_posted": "2026-02-19T15:34:06Z",
  "description": "Our client...",
  "description_html": "(HTML string)",
  "skills": "• At least 7 years...",
  "skills_html": "(HTML string)",
  "url": "https://www.roberthalf.com/us/en/job/...",
  "job_id": "02970-0013387615-usen",
  "city": "Purchase",
  "stateprovince": "NY",
  "postal_code": "10577",
  "country": "US",
  "payrate_min": "40.00",
  "payrate_max": "45.00",
  "payrate_period": "Hourly",
  "salary_currency": "USD",
  "source": "roberthalf.com",
  "source_system": "Salesforce"
}

Tips for Best Results

Start Small

• Test with results_wanted set to 25 or 50
• Increase gradually once your filters are correct

Use Specific Keywords

• Try role titles (e.g., "Senior Accountant") or niche skills
• Combine with location to reduce noise

Control Pagination

• Use max_pages as a safety cap
• Use results_wanted to stop as soon as you have enough data

Proxy Configuration

For larger collections, using a proxy can improve reliability:

{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Integrations

Export your dataset to:

• Google Sheets — Analyze and share
• Airtable — Build searchable tables
• Webhooks — Send results to your system
• Make / Zapier — Automate workflows

Download formats:

• JSON
• CSV
• Excel

Frequently Asked Questions

Why are there both description and description_html?

Use description for clean plain text. Use description_html when you want to preserve formatting.

Why do some fields not appear on every item?

Only non-empty fields are included in each dataset item.

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