Remote Rocketship Jobs Scraper: Search & Extract Remote Roles Instantly

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What Is Remote Rocketship?

Remote Rocketship is a specialized job platform dedicated to remote work opportunities across multiple regions and industries. It aggregates remote positions from various employers, allowing candidates to filter by role type, experience level, location, and job title. For researchers, aggregators, and talent professionals, manually extracting this data becomes impractical at scale — the Remote Rocketship Jobs Search Scraper automates the collection, delivering clean, structured job records with support for multiple languages and regions.

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Overview

The Remote Rocketship Jobs Search Scraper extracts job listings from Remote Rocketship search result pages, converting search results into a comprehensive database. It supports:

• Job aggregators building multi-source job boards
• Talent researchers analyzing remote work trends
• Salary benchmarking platforms tracking compensation data
• Career path analyzers studying skill requirements across roles
• International teams accessing job data in local languages

The scraper handles pagination, filtering by job title, and supports multilingual job data — ideal for platforms serving Brazilian, French, German, and English-speaking markets.

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Input Format

The scraper accepts a JSON configuration object controlling which pages to scrape and how many items to collect:

{
  "urls": [
    "https://www.remoterocketship.com/?page=1&sort=DateAdded&jobTitle=3D+Artist"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}

Field	Description
urls	Remote Rocketship search result page URLs with filters (page number, sort order, job title)
max_items_per_url	Maximum jobs to extract per URL page (e.g., 20, 50, or 100)
ignore_url_failures	If true, continues processing if a URL fails instead of halting the entire run

Input tips:

• Build URLs using Remote Rocketship's search interface, then copy the full URL including query parameters
• Use the jobTitle parameter to filter by role (e.g., jobTitle=3D+Artist, jobTitle=Backend+Developer)
• Pagination is controlled via the page parameter — add multiple URLs with page=1, page=2, etc. for bulk scraping
• Sort options include DateAdded (newest first) and others supported by the platform

---

Output Format

Sample output

{
  "id": 19566460,
  "created_at": "2026-07-14T23:17:11.126+00:00",
  "valid_until_date": null,
  "date_deleted": null,
  "role_title": "AI Motion Designer – Freelance",
  "required_languages": [
    "ru",
    "en"
  ],
  "description_language": "en",
  "job_description_summary": "AI Motion Designer creating video content using cutting-edge AI technology",
  "two_line_job_description_summary": "AI Motion Designer at Social Discovery Group utilizing AI technology for innovative video content creation. Collaborating with diverse professionals on unique marketing projects.",
  "education_requirements_credential_category": null,
  "url": "https://social-discovery-ventures.breezy.hr/p/fa9227dfcaa901-ai-motion-designer-freelance",
  "is_entry_level": false,
  "is_junior": false,
  "is_mid_level": true,
  "is_senior": true,
  "is_lead": false,
  "salary_range": null,
  "tech_stack": [
    "Flux"
  ],
  "slug": "ai-motion-designer-freelance-georgia-remote",
  "is_on_linkedin": null,
  "is_promoted": false,
  "employment_type": "contract",
  "location": "Georgia",
  "location_us_states": null,
  "location_city": null,
  "location_type": "remote",
  "categorized_job_title": "3D Artist",
  "categorized_job_function": "3D Artist",
  "role_title_brazil": null,
  "role_description_brazil": null,
  "role_requirements_brazil": null,
  "benefits_brazil": null,
  "slug_brazil": null,
  "job_description_summary_brazil": null,
  "two_line_job_description_summary_brazil": null,
  "role_title_france": null,
  "role_description_france": null,
  "role_requirements_france": null,
  "benefits_france": null,
  "slug_france": null,
  "job_description_summary_france": null,
  "two_line_job_description_summary_france": null,
  "role_title_germany": null,
  "role_description_germany": null,
  "role_requirements_germany": null,
  "benefits_germany": null,
  "slug_germany": null,
  "job_description_summary_germany": null,
  "two_line_job_description_summary_germany": null,
  "company": {
    "id": 198976,
    "name": "Social Discovery Group",
    "slug": "socialdiscoverygroup",
    "founded_year": "20 years",
    "funding_data": [],
    "home_page_u_r_l": "https://socialdiscoverygroup.com",
    "linked_in_u_r_l": "https://www.linkedin.com/company/social-discovery-group",
    "sponsors_h1_b": false,
    "employee_range": "1001,5000",
    "profile_pic_u_r_l": "https://storage.googleapis.com/remote-rocket.appspot.com/Social%20Discovery%20Group.jpeg?GoogleAccessId=firebase-adminsdk-ptm37%40remote-rocket.iam.gserviceaccount.com&Expires=16447017600&Signature=hbp%2F1CMeKBQUiNLCjdiN91ReAn%2FSOd4j7gi1F2oZqmxqzFxOihIbVOL3u76R3GXT6GylOTSgiyAoYkMeqqXYMfWWUDq13z8FIxAUBwnpbdBYniKabgylgffX0vDsxmGOPXK7IrOTc3Dhsju9Lv5i0AQUssY2alJCr7PYs%2F0vW3gF45OhwQGvyHccoQOb%2Flw6j3iWwOv5vClvAYdJsZuYJOFD1X5BeizNJKdxTP5YQCE3pq8Z4Oa0Q23ecxSJhmFkoA%2BadtaXguz9zbGxJG2weUPVNVk71MK0KyDB4xoIKO36A9tLwjQ1OF8CTyBXXWxIoLqoA9jdtNWaLCS8NInMPQ%3D%3D",
    "chat_g_p_t_industries": [
      "Social Impact",
      "Media",
      "Entertainment"
    ],
    "sponsors_u_k_skilled_worker_visa": false
  },
  "scoring_keywords": {
    "version": 2,
    "keywords": [
      {
        "tokens": [
          "artificial",
          "intelligence"
        ],
        "weight": 2.43,
        "category": "hardSkill",
        "canonical": "Artificial Intelligence",
        "frequency": 7,
        "match_forms": [
          [
            "artificial",
            "intelligence"
          ],
          [
            "ai"
          ]
        ],
        "from_dictionary": true
      },
      {
        "tokens": [
          "flux"
        ],
        "weight": 1.488,
        "category": "tool",
        "canonical": "Flux",
        "frequency": 3,
        "match_forms": [
          [
            "flux"
          ]
        ],
        "from_dictionary": true
      },
      {
        "tokens": [
          "sla"
        ],
        "weight": 1.224,
        "category": "cert",
        "canonical": "SLA",
        "frequency": 4,
        "match_forms": [
          [
            "sla"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "cpa"
        ],
        "weight": 1.05,
        "category": "cert",
        "canonical": "CPA",
        "frequency": 1,
        "match_forms": [
          [
            "cpa"
          ]
        ],
        "from_dictionary": true
      },
      {
        "tokens": [
          "ctr"
        ],
        "weight": 1.0080000000000002,
        "category": "cert",
        "canonical": "CTR",
        "frequency": 2,
        "match_forms": [
          [
            "ctr"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "sfx"
        ],
        "weight": 1.0080000000000002,
        "category": "cert",
        "canonical": "SFX",
        "frequency": 2,
        "match_forms": [
          [
            "sfx"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "figma"
        ],
        "weight": 1,
        "category": "tool",
        "canonical": "Figma",
        "frequency": 1,
        "match_forms": [
          [
            "figma"
          ]
        ],
        "from_dictionary": true
      },
      {
        "tokens": [
          "premiere",
          "pro"
        ],
        "weight": 0.992,
        "category": "domain",
        "canonical": "Premiere Pro",
        "frequency": 3,
        "match_forms": [
          [
            "premiere",
            "pro"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "stable",
          "diffusion"
        ],
        "weight": 0.992,
        "category": "domain",
        "canonical": "Stable Diffusion",
        "frequency": 3,
        "match_forms": [
          [
            "stable",
            "diffusion"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "lora"
        ],
        "weight": 0.9672000000000001,
        "category": "domain",
        "canonical": "Lora",
        "frequency": 3,
        "match_forms": [
          [
            "lora"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "comfyui"
        ],
        "weight": 0.962,
        "category": "domain",
        "canonical": "Comfyui",
        "frequency": 5,
        "match_forms": [
          [
            "comfyui"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "b2"
        ],
        "weight": 0.9,
        "category": "cert",
        "canonical": "B2",
        "frequency": 1,
        "match_forms": [
          [
            "b2"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "ip"
        ],
        "weight": 0.9,
        "category": "cert",
        "canonical": "IP",
        "frequency": 1,
        "match_forms": [
          [
            "ip"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "freelance"
        ],
        "weight": 0.8775000000000001,
        "category": "domain",
        "canonical": "Freelance",
        "frequency": 1,
        "match_forms": [
          [
            "freelance"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "controlnet"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Controlnet",
        "frequency": 3,
        "match_forms": [
          [
            "controlnet"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "kling"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Kling",
        "frequency": 3,
        "match_forms": [
          [
            "kling"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "luma"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Luma",
        "frequency": 3,
        "match_forms": [
          [
            "luma"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "meta"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Meta",
        "frequency": 3,
        "match_forms": [
          [
            "meta"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "midjourney"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Midjourney",
        "frequency": 3,
        "match_forms": [
          [
            "midjourney"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "pika"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Pika",
        "frequency": 3,
        "match_forms": [
          [
            "pika"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "runway"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Runway",
        "frequency": 3,
        "match_forms": [
          [
            "runway"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "sora"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Sora",
        "frequency": 3,
        "match_forms": [
          [
            "sora"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "tiktok"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Tiktok",
        "frequency": 3,
        "match_forms": [
          [
            "tiktok"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "veo"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Veo",
        "frequency": 3,
        "match_forms": [
          [
            "veo"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "youtube"
        ],
        "weight": 0.806,
        "category": "domain",
        "canonical": "Youtube",
        "frequency": 3,
        "match_forms": [
          [
            "youtube"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "ip",
          "adapter"
        ],
        "weight": 0.8,
        "category": "domain",
        "canonical": "IP Adapter",
        "frequency": 1,
        "match_forms": [
          [
            "ip",
            "adapter"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "english"
        ],
        "weight": 0.78,
        "category": "domain",
        "canonical": "English",
        "frequency": 1,
        "match_forms": [
          [
            "english"
          ]
        ],
        "from_dictionary": false
      },
      {
        "tokens": [
          "make"
        ],
        "weight": 0.78,
        "category": "domain",
        "canonical": "Make",
        "frequency": 1,
        "match_forms": [
          [
            "make"
          ]
        ],
        "from_dictionary": false
      }
    ]
  },
  "from_url": "https://www.remoterocketship.com/?page=1&sort=DateAdded&jobTitle=3D+Artist"
}

Each scraped job returns a comprehensive record with 48+ fields spanning job core data, experience levels, location breakdowns, and multilingual translations:

Core Job Identification

Field	Meaning
ID	Unique Remote Rocketship identifier for the job posting
URL	Direct link to the job listing on Remote Rocketship
Slug	URL-friendly slug for the job title
Role Title	Official job title as displayed on the platform
Categorized Job Title	Standardized job title category (e.g., "Software Engineer", "Product Manager")
Categorized Job Function	Job function classification for analytics

Timeline & Status

Field	Meaning
Created At	Timestamp when the job was posted
Valid Until Date	Listing expiration or validity deadline
Date Deleted	When the job was removed or archived (if applicable)

Job Content & Description

Field	Meaning
Job Description Summary	Full-length summary of the job role and responsibilities
Two Line Job Description Summary	Brief two-line overview for quick scanning
Description Language	Primary language of the job description
Tech Stack	Technologies, frameworks, and tools required (e.g., React, Python, AWS)

Experience Level & Eligibility

Field	Meaning
Is Entry Level	Boolean flag indicating if role suits entry-level candidates
Is Junior	Suitable for junior-level professionals (1–3 years experience)
Is Mid Level	Suitable for mid-career professionals (3–7 years experience)
Is Senior	Suitable for senior-level professionals (7+ years experience)
Is Lead	Leadership or principal-level opportunity
Education Requirements Credential Category	Degree level required (e.g., Bachelor's, Master's)
Required Languages	Languages required or preferred for the role

Compensation & Role Details

Field	Meaning
Salary Range	Compensation range if disclosed (e.g., "$80K–$120K/year")
Employment Type	Contract type (e.g., full-time, part-time, contract)

Location & Geography

Field	Meaning
Location	Primary job location or remote designation
Location Type	Remote, hybrid, or on-site classification
Location US States	US state(s) if applicable
Location City	City or metropolitan area

Visibility & Promotion

Field	Meaning
Is On LinkedIn	Whether the job is cross-posted to LinkedIn
Is Promoted	Whether the listing has paid promotion status

Multilingual Translations (Brazil, France, Germany)

For each region, the scraper provides localized versions:

Field Prefix	Meaning
Role Title [Region]	Job title in the local language
Role Description [Region]	Full job description translated
Role Requirements [Region]	Candidate requirements in local language
Benefits [Region]	Employee benefits description
Job Description Summary [Region]	Condensed summary
Two Line Job Description Summary [Region]	Ultra-brief description
Slug [Region]	Localized URL slug

Example region fields: Role Title Brazil, Role Description France, Benefits Germany, etc.

Additional Data

Field	Meaning
Company	Employer/hiring organization name
Scoring Keywords	Keywords extracted from the description for relevance scoring

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How to Use

1. Find search URLs — Go to Remote Rocketship, use filters to narrow jobs (job title, experience level, etc.), then copy the URL from your browser's address bar.

2. Prepare bulk URLs — For multi-page scraping, create URLs for each page:

   • Page 1: https://www.remoterocketship.com/?page=1&sort=DateAdded&jobTitle=Backend+Developer
   • Page 2: https://www.remoterocketship.com/?page=2&sort=DateAdded&jobTitle=Backend+Developer

3. Configure input — Paste URLs into the urls array and set max_items_per_url (e.g., 50 for 50 jobs per page).

4. Set error handling — Use ignore_url_failures: true to skip broken URLs and continue scraping.

5. Run & export — Start the scraper and download results as JSON, CSV, or Excel.

Best practices:

• Use specific job title filters to reduce noise and focus on relevant roles
• Start with max_items_per_url: 20 for testing, then scale up
• Sort by DateAdded to capture the newest postings first
• For large-scale scraping, add URLs in batches rather than all at once

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Use Cases & Business Value

• Job aggregators: Feed Remote Rocketship data into multi-source job boards and platforms
• Salary intelligence: Analyze compensation trends for remote roles across regions and industries
• Market research: Study remote work demand, tech stack popularity, and geographic hiring patterns
• Internationalization: Leverage multilingual output to serve teams in Brazil, France, and Germany
• Candidate matching: Extract tech stack and requirements to power job recommendation engines
• Career analytics: Identify which experience levels and roles are most in-demand

By automating extraction, you eliminate hours of manual work and gain real-time insights into the remote job market.

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Conclusion

The Remote Rocketship Jobs Search Scraper transforms raw job listings into actionable data. With support for 48+ fields, multilingual translations, and flexible filtering, it's the ideal tool for anyone building remote job analytics, aggregation, or talent intelligence platforms. Start scraping today and unlock the full potential of Remote Rocketship's job data.