Mercor Jobs Scraper: Extract Talent Marketplace Listings at Scale

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What Is Mercor?

Mercor is a premier talent marketplace connecting vetted engineers and technical professionals with high-growth tech companies. Unlike traditional job boards, Mercor uses intelligent matching algorithms to connect candidates with opportunities based on skills, preferences, and career goals. For recruiters, researchers, and developers, accessing Mercor's job data at scale unlocks competitive intelligence and market trends — the Mercor Jobs Search Scraper automates this extraction process.

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Overview

The Mercor Jobs Search Scraper extracts job listings from Mercor's explore page and search results, delivering rich, structured records with 50+ data points per listing. It's built for:

• Recruiters monitoring tech hiring trends and competitor activity
• Talent strategists benchmarking compensation, equity, and role types
• Market researchers studying remote-first and distributed work adoption
• Job aggregators feeding Mercor data into multi-platform job boards
• Data analysts building models on tech labor supply and demand

Key features include configurable item limits, flexible URL input for targeted scraping, and robust error handling via ignore_url_failures.

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Input Format

The scraper accepts a JSON configuration object:

{
  "urls": [
    "https://work.mercor.com/explore"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}

Field	Description	Example
urls	Array of Mercor jobs list or explore page URLs	["https://work.mercor.com/explore"]
max_items_per_url	Maximum listings to extract per URL (default: 20)	20, 50, 100
ignore_url_failures	If true, continues scraping if a URL fails; if false, halts the run	true or false

URL Tips:

• Use https://work.mercor.com/explore to scrape all active listings
• Add URL filters for specific parameters (e.g., location, commitment type) if Mercor's UI supports them
• Each URL is processed independently; run multiple URLs for broader data collection

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Output Format

Sample output

{
  "listing_id": "list_AAABn2QixPUZ3VRzf41C26mh",
  "version": 5,
  "uid": "listing_uid_AAABn2QkZPr3Vi5LrEJDrqE5",
  "title": "Clinical Law Professor / Clinic Director",
  "description": "Mercor is seeking experienced **Clinical Law Professors and Clinic Directors** to evaluate AI-generated legal reasoning involving civil legal services. Experts will combine doctrinal knowledge, legal pedagogy, and practical supervision experience to assess AI-generated legal analyses.\n\n* * *\n\n## Responsibilities\n\n- Evaluate AI-generated legal responses.\n    \n- Review issue spotting, legal reasoning, and procedural analysis.\n    \n- Assess scenarios involving housing, family, consumer, and debt law.\n    \n- Provide structured feedback to improve AI systems.\n    \n- Apply experience supervising law students and live-client clinics.\n    \n\n* * *\n\n## Required Qualifications\n\n- Juris Doctor (JD).\n    \n- Current or previous U.S. bar admission.\n    \n- Experience directing or supervising a law school clinic.\n    \n- Expertise in one or more civil legal practice areas.\n    \n- Strong legal writing and evaluation skills.\n    \n\n* * *\n\n## Preferred Qualifications\n\n- Clinical Professor of Law or Clinic Director.\n    \n- Experience with housing, family, consumer, elder, or disability law clinics.\n    \n- Experience developing legal curriculum or assessment rubrics.\n    \n- Published scholarship or educational materials.\n    \n\n* * *\n\n## Why Join Mercor?\n\n- Help build more accurate AI for legal education and practice.\n    \n- Bring your clinical teaching expertise to emerging legal technologies.\n    \n- Short-term, intellectually engaging project.\n    \n- Competitive compensation.\n    \n\n* * *\n\n## Engagement Details\n\n**Location:** Remote\n\n**Commitment:** Approximately 15 hours/week\n\n**Project Duration:** Estimated 2–3 weeks",
  "commitment": "hourly",
  "referral_amount": 720.0,
  "created_at": "2026-07-15T04:57:08",
  "deleted_at": null,
  "is_most_recent": true,
  "status": "active",
  "listing_type": "standard",
  "required_interview_config_id": null,
  "rate_min": 180.0,
  "rate_max": 180.0,
  "hours_per_week": 40,
  "location": "Remote",
  "work_arrangement": "remote",
  "eligible_location": [
    "USA"
  ],
  "eligible_residence_location": [
    "USA"
  ],
  "ineligible_location": [],
  "ineligible_residence_location": [],
  "form_id": null,
  "disable_applications": false,
  "auto_redirect_to_apply": false,
  "pay_rate_frequency": "hourly",
  "is_private": false,
  "interview_duration": null,
  "offers_equity": false,
  "interview_scheduling_enabled": false,
  "interview_schedule_link": null,
  "is_recommended": false,
  "hourly_pay_rate": null,
  "company_brand_visible": false,
  "company_logo": null,
  "company_name": null,
  "company_alias": null,
  "posted_at": "2026-07-15T04:57:08",
  "user_similarity_score": 0.0,
  "search_similarity_score": 0.0,
  "match_quality": null,
  "prequalified_listing": false,
  "recent_candidates_count": 0,
  "application_steps_completed": null,
  "application_steps_pending": null,
  "listing_domain": "Law",
  "remaining_slots": 2,
  "supplied_slots": 0,
  "max_future_hcg": 2,
  "is_fast_paced_enabled": false,
  "fast_paced_role_id": null,
  "submitted_on": null,
  "from_url": "https://work.mercor.com/explore"
}

Each listing returns a comprehensive record with 50+ fields organized by category:

Listing Identification

Field	Meaning
Listing ID	Unique identifier for the job posting on Mercor
UID	Universal identifier linked across Mercor systems
Version	Data schema version of the listing record
Listing Type	Category of job (e.g., full-time, contract, freelance)
Posted At	Timestamp when the listing was published
Submitted On	When the listing data was submitted/updated
Is Most Recent	Boolean indicating if this is the current version
Status	Current state of the listing (active, closed, draft)
Deleted At	Timestamp if the listing was deleted

Job Details & Description

Field	Meaning
Title	Job title as displayed to candidates
Description	Full job description, qualifications, and responsibilities
Commitment	Work commitment type (full-time, part-time, contract, freelance)
Hours Per Week	Expected weekly hours for the role
Work Arrangement	Employment arrangement (remote, hybrid, on-site)
Pay Rate Frequency	How compensation is billed (hourly, monthly, yearly)
Hourly Pay Rate	Standardized hourly equivalent rate in USD
Rate Min	Minimum compensation/hourly rate
Rate Max	Maximum compensation/hourly rate
Offers Equity	Boolean indicating if the role includes equity

Location & Eligibility

Field	Meaning
Location	Primary job location or timezone
Eligible Location	Geographic regions where candidates are eligible
Eligible Residence Location	Countries/regions where candidates may reside
Ineligible Location	Restricted geographic locations
Ineligible Residence Location	Prohibited residence regions (often for tax/visa compliance)
Listing Domain	Domain or department category the listing belongs to

Matching & Scoring

Field	Meaning
User Similarity Score	Mercor's match score between candidate and job (0-100)
Search Similarity Score	Relevance score for search query matching
Match Quality	Overall quality of the match (low, medium, high, excellent)
Is Recommended	Mercor's internal recommendation flag for this listing
Prequalified Listing	Whether candidates are pre-screened before application

Application & Interview Flow

Field	Meaning
Form ID	Unique identifier for the application form
Application Steps Completed	Number of application steps already filled by candidate
Application Steps Pending	Remaining application steps required
Disable Applications	Boolean to pause new applications
Auto Redirect To Apply	Whether clicking the listing auto-initiates application flow
Required Interview Config ID	ID of the interview process template for this role
Interview Duration	Expected interview length in minutes
Interview Scheduling Enabled	Whether candidates can self-schedule interviews
Interview Schedule Link	URL for candidates to schedule an interview

Company Information

Field	Meaning
Company Name	Official company name posting the job
Company Alias	Alternative name or brand used by the company
Company Logo	URL to the company's logo image
Company Brand Visible	Boolean indicating if company branding is shown to candidates

Performance & Capacity

Field	Meaning
Recent Candidates Count	Number of applicants in the last period (e.g., 7 days)
Remaining Slots	Number of open positions still available
Supplied Slots	Total positions the company provided
Max Future HCG	Maximum future hiring cohort groups planned
Is Fast Paced Enabled	Boolean for "fast-paced role" designation
Fast Paced Role ID	Identifier if the role is in fast-paced hiring pipeline

Referral & Incentives

Field	Meaning
Referral Amount	Bonus paid for successful candidate referrals

Privacy & Visibility

Field	Meaning
Is Private	Whether the listing is private (not visible to all users)

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How to Use

1. Identify target URLs — Navigate to Mercor's explore page or use filtered search results. Copy the URL.
2. Set scrape parameters — Adjust max_items_per_url based on your needs (20–100 typically; higher values increase runtime).
3. Configure resilience — Set ignore_url_failures: true for production runs to skip unreachable URLs.
4. Execute the scraper — Start the actor and monitor progress via the run log.
5. Download results — Export data as JSON, CSV, or Excel for analysis.

Best Practices:

• Scrape during off-peak hours to minimize impact on Mercor's platform
• Use filters in the URL to target specific regions, commitment types, or skill categories
• Set max_items_per_url to 20–30 for consistent, repeatable runs
• Combine multiple scrapes to build time-series datasets for trend analysis

Common Issues:

• If few items are returned, verify the URL contains active listings and is accessible
• Check Mercor's robots.txt and terms of service before large-scale scraping
• Use ignore_url_failures: true to handle transient network issues gracefully

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Use Cases & Business Value

• Talent intelligence: Track hiring velocity, compensation benchmarks, and equity offerings across tech companies
• Competitive analysis: Monitor when competitors post roles, hiring volume, and target markets
• Platform integration: Feed Mercor data into internal job boards or talent aggregators
• Market research: Analyze remote-work trends, skill demand, and geographic hiring patterns
• Compensation benchmarking: Build datasets for salary and rate comparison across roles and regions

By automating data collection, the Mercor Jobs Scraper enables data-driven talent strategy while eliminating manual research hours.

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Conclusion

The Mercor Jobs Search Scraper delivers comprehensive, structured data from a leading tech talent marketplace. With 50+ fields covering job details, matching insights, company info, and application workflows, it's the ideal solution for recruiters, researchers, and talent platform operators. Start scraping today and gain competitive edge through data-driven hiring intelligence.