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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

Output Data

Each item in the dataset contains:

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.