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Twitter Profile Scraper

Interested in scraping Glassdoor job listings? Get it here: Glassdoor Job Scraper. Extract detailed information from Glassdoor job listings efficiently.

Pricing
For better pricing, you can sign up here: Datamagnet Pricing

Features

• Data Export and Integration: Export the extracted data in JSON or CSV format. Customize the fields to integrate with other tools and platforms for in-depth analysis.
• Automatic Retry and Error Handling: The scraper includes built-in retry functionality to handle network issues or timeouts gracefully, ensuring uninterrupted data collection.
• Ability to Resume Last Failed Runs: Resume data collection from the last failed attempt with a simple click, allowing you to pick up where you left off.

Integrations

Use Make to integrate the Glassdoor Job Scraper with other SaaS platforms, creating custom automation flows.

Sample Output

Here is a sample output of this scraper:

{
    "url": "https://www.glassdoor.com/partner/jobListing.htm?pos=121&ao=1136043&s=58&guid=000001921d03a1a38f8f2b560f07b539&src=GD_JOB_AD&t=SR&vt=w&cs=1_290b8ed8&cb=1727678926650&jobListingId=1008045149334&jrtk=5-yul1-0-1i8eg78eoi962800-091a4ee2b8a7b6d7",
    "company_url_overview": "https://www.haemonetics.com/",
    "company_name": "Propel Together",
    "company_rating": 4.2,
    "job_title": "Product Manager",
    "job_location": "London, England",
    "job_overview": "Job Overview\n\nWe are delighted to be continuing to hire for one of the UKs hottest growing FinTech Startups seeking a new Product Manager.\n\nA Saas based scale up, delivering an innovative and disruptive platform to the Financial Services Sector. Having received circa £5m in funding, they’re scaling at pace and have continued to hire and grow from strength to strength, including key client wins over the past months.\nJob Description\nProduct Manager – FinTech Saas\n\nCurrently remote – Offices based in Central London\n\nAttractive salary alongside equity package\n\n\nWe are delighted to be continuing to hire for one of the UKs hottest growing FinTech Startups seeking a new Product Manager.\n\nA Saas based scale up, delivering an innovative and disruptive platform to the Financial Services Sector. Having received circa £5m in funding, they’re scaling at pace and have continued to hire and grow from strength to strength, including key client wins over the past months.\n\nThis role will work closely alongside the Head of Product, and C-Suite to further scale and build the product. This role will have a number of key objectives including: Working backwards from the client and customer to help define vision, innovating and developer new productions to delight and solve problems for these clients, manage development from conception through to launch working alongside cross-functional teams and to help to define key product performance indicators (KPIs), as well as release-specific success metrics to enhance client experience and optimise the product.\n\nAn exciting opportunity to join a rapidly scaling Saas product with impressive and recognisable key clients, and to help shape its future growth and success.\n\nKey requirements:\n\n3 years + proven experience as a Product Manager or Product Owner\nIdeally experience within Financial Services or related sector\nExperience working on and delivering Saas based products\nExperience within start-ups\nStrong understanding of technology, the ability to communicate effectively with technical teams as well as non-Technical stakeholders.\nContact Details\nPlease reach out to matt.dixie@propellondon",
    "company_headquarters": "Boston, MA",
    "company_founded_year": "1971",
    "company_industry": "Health Care Services & Hospitals",
    "company_revenue": "$500 million to $1 billion (USD)",
    "company_size": "1001 to 5000 Employees",
    "company_type": "Company - Public",
    "company_sector": "Healthcare",
    "percentage_that_recommend_company_to_a friend": 0.84,
    "percentage_that_approve_of_ceo": 0.82,
    "company_ceo": "Chr***oph***Sim***",
    "company_career_opportunities_rating": 3.7,
    "company_comp_and_benefits_rating": 4,
    "company_culture_and_values_rating": 3.8,
    "company_senior_management_rating": 3.7,
    "company_work/life_balance_rating": 3.9,
    "reviews_by_same_job_pros": [
      "Great people, willing to take on new ways of thinking to improve.",
      "The office is nice in mid boston",
      "Company has good benefits.",
      "Good Pay"
    ],
    "reviews_by_same_job_cons": ["The culture is not good"],
    "company_benefits_rating": 4,
    "company_benefits_employer_summary": null,
    "employee_benefit_reviews": [
      "Good benefits at haemonetics today",
      "Average benefit for the company size",
      "Best is the 401k match, worst is the company culture - not so many social events being organized and heavily depends on the department you work for. Some are more social some not at all"
    ],
    "job_posting_id": "1008045149334",
    "company_id": "786",
    "job_application_link": "https://www.glassdoor.com/partner/jobListing.htm?pos=121&ao=1136043&s=58&guid=000001921d03a1a38f8f2b560f07b539&src=GD_JOB_VIEW&t=SR&vt=w&cs=1_5bc97b44&cb=1727678926650&jobListingId=1008045149334&jrtk=5-yul1-3-1i90r0jndl00q801-1i8eg78eoi962800",
    "company_website": "https://www.haemonetics.com/",
    "pay_range_glassdoor_est": null,
    "pay_median_glassdoor": null,
    "pay_range_employer_est__DUPLICATE": null,
    "pay_median_employer": null,
    "pay_range_currency": "GBP",
    "pay_type": null,
    "discovery_input": {
      "keyword": "Product Manager",
      "location": "London, UK"
    }
}

Output Data Documentation

Here is the JSON fields documentation without including the sample values:

• url (string): The URL of the job listing.
• company_url_overview (string): The URL of the company's overview page.
• company_name (string): The name of the company offering the job.
• company_rating (number): The rating of the company on Glassdoor.
• job_title (string): The title of the job listing.
• job_location (string): The location of the job.
• job_overview (string): A brief overview of the job.
• company_headquarters (string): The headquarters of the company.
• company_founded_year (string): The year the company was founded.
• company_industry (string): The industry in which the company operates.
• company_revenue (string): The revenue of the company.
• company_size (string): The size of the company.
• company_type (string): The type of the company (e.g., Public, Private).
• company_sector (string): The sector in which the company operates.
• percentage_that_recommend_company_to_a_friend (number): The percentage of employees who recommend the company to a friend.
• percentage_that_approve_of_ceo (number): The percentage of employees who approve of the CEO.
• company_ceo (string): The name of the company's CEO.
• company_career_opportunities_rating (number): The rating of career opportunities at the company.
• company_comp_and_benefits_rating (number): The rating of compensation and benefits at the company.
• company_culture_and_values_rating (number): The rating of culture and values at the company.
• company_senior_management_rating (number): The rating of senior management at the company.
• company_work/life_balance_rating (number): The rating of work/life balance at the company.
• reviews_by_same_job_pros (array of strings): Pros of the job as reviewed by employees in the same job.
• reviews_by_same_job_cons (array of strings): Cons of the job as reviewed by employees in the same job.
• company_benefits_rating (number): The rating of benefits at the company.
• company_benefits_employer_summary (string or null): A summary of the benefits provided by the employer.
• employee_benefit_reviews (array of strings): Reviews of the benefits by employees.
• job_posting_id (string): The ID of the job posting.
• company_id (string): The ID of the company.
• job_application_link (string): The link to apply for the job.
• company_website (string): The website of the company.
• pay_range_glassdoor_est (string or null): The estimated pay range according to Glassdoor.
• pay_median_glassdoor (string or null): The median pay according to Glassdoor.
• pay_range_employer_est__DUPLICATE (string or null): The estimated pay range according to the employer.
• pay_median_employer (string or null): The median pay according to the employer.
• pay_range_currency (string): The currency of the pay range.
• pay_type (string or null): The type of pay (e.g., hourly, salary).
• discovery_input (object): The input parameters used for discovering the job listing.
  • keyword (string): The keyword used for the job search.
  • location (string): The location used for the job search.