SimplyHired Jobs Scraper πŸ’ΌπŸ”ŽπŸ“ˆ - Faster & Cheaper avatar

SimplyHired Jobs Scraper πŸ’ΌπŸ”ŽπŸ“ˆ - Faster & Cheaper

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2 hours trial then $17.99/month - No credit card required now

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SimplyHired Jobs Scraper πŸ’ΌπŸ”ŽπŸ“ˆ - Faster & Cheaper

SimplyHired Jobs Scraper πŸ’ΌπŸ”ŽπŸ“ˆ - Faster & Cheaper

scrapestorm/simplyhired-jobs-scraper---faster-cheaper
Try for free

2 hours trial then $17.99/month - No credit card required now

SimplyHired Jobs Scraper πŸ–₯οΈπŸ’ΌπŸ”ŽπŸ“ˆ lets you extract detailed job data with customizable filters. Gather insights on job titles, descriptions, companies, salaries, locations, and more for research or marketing! πŸŒŸπŸ“ŠπŸ“ Perfect for analyzing job market trends and popular listings.

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Maintained by Community

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  • 1 monthly user

  • 5.0 / 5 (1)

  • 1 bookmark

  • >99% runs succeeded

  • Created in Mar 2025

  • Modified 2 days ago

SimplyHired Jobs Scraper πŸ§‘β€πŸ’»βœ¨

This SimplyHired Jobs Scraper is designed to help you easily retrieve relevant job listings based on your search query πŸ”. You can customize the results with filters like the maximum number of jobs to extract πŸ”’ and sorting options such as "Relevance" πŸ†.

Whether you're exploring career opportunities, looking for job trends, or gathering references for hiring purposes, this tool gives you quick access to the most relevant job postings on SimplyHired 🌍.

Description πŸ’―πŸŽ“

The SimplyHired Jobs Scraper is your go-to tool for discovering job listings. Simply enter a job-related keyword, location, and any additional filters to get tailored results πŸ› οΈ. You can specify the maximum number of jobs to extract (e.g., 80 job listings) and the sorting preference (e.g., "Relevance") πŸ”.

Retrieve detailed information about each job listing, including the job title πŸ“, company ✍️, location 🌍, job snippet πŸ§‘β€πŸ’Ό, salary information πŸ’΅, company ratings 🌟, and a direct link to the job posting πŸ“‘. This tool provides an efficient and streamlined way to gather relevant job opportunities.

How many results can you extract using this SimplyHired Jobs Scraper? πŸ”

There is no limit to the number of job listings you can extract πŸ“Š, as long as they match your search query and filter criteria.

You can specify how many results you wish to retrieve, for example, up to 200 job listings πŸ”’.

Key Features ✨

  • Unlimited Results πŸ”’: Extract as many job listings as needed, depending on your query and filters.

  • Customizable Sorting Options πŸ”: Choose how to sort your results, such as by β€œRelevance.”

  • Detailed Job Info πŸ“: Extract key details such as job title, company, location, salary info, company rating, and a direct link to the job posting.

  • Search Flexibility πŸ”: Specify any job keyword, location, or filter to find related job postings.

πŸ’Έ Pricing

This scraper operates on a monthly subscription basis, priced at $17.99/month.

Using the SimplyHired Jobs Scraper is simple and intuitive! Just follow these easy steps:

1Enter your search query β€” for example, a keyword like "AI" πŸ”‘.
2Customize your filters: Choose the maximum number of jobs to extract (e.g., 80 jobs) and the sorting preference (e.g., "Relevance") πŸ”.
3Click the "Start" button to begin the scraping process πŸš€.
4Once completed, download the extracted data in your preferred format:
5    JSON πŸ“„
6    CSV πŸ“Š
7    XML πŸ“‘
8    Excel πŸ“ˆ
9    HTML 🌐

Applications 🌟

1Job Search & Career Exploration: Quickly find and compare job listings based on specific keywords and locations.
2Market Research: Analyze job trends, salary ranges, and in-demand skills.
3Recruitment & Hiring: Gather a list of potential candidates or job openings for HR purposes.
4Job Trend Analysis: Identify the most popular job titles, industries, and regions for specific keywords.
5Data for Career Planning: Collect information about companies, job requirements, and location-specific opportunities for career development.

Input Example for SimplyHired Jobs Scraper πŸ‘Œ

The scraper accepts various parameters to customize the scraping process. Here’s how to structure your input JSON:

1{
2    "keyword": "cloud",
3    "maxitems": 80,
4    "city": "New York, NY",
5    "sort_by": "Relevance"
6}

Output Example from SimplyHired Jobs Scraper πŸ‘Œ

Once the extraction is finished, the data will be stored in a dataset. You can download this data in various formats (JSON, CSV, XML, RSS, HTML Table).

Here is an example of the JSON output for a job listing:

1{
2      "jobKey": "RmHd7LjttZqdyZhiZesHGQ5n5P6j-l9oKlOcarmATLn9HjS9l5Sicw",
3      "title": "RESEARCH ASSISTANT",
4      "company": "United Nations",
5      "location": "New York, NY",
6      "snippet": "Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others\u2019 ideas and expertise; is willing to\u2026",
7      "salaryInfo": "$43K - $60.2K a year",
8      "companyRating": 4.4,
9      "isSalaryEstimate": true,
10      "indeedApply": false,
11      "dateOnIndeed": 1741710311000,
12      "sponsored": false,
13      "auction": false,
14      "encodedUrl": "%2Fjob%2FRmHd7LjttZqdyZhiZesHGQ5n5P6j-l9oKlOcarmATLn9HjS9l5Sicw%3FjobCardTrackingKey%3D5-yul1-0-1img06jooiudg800-6af09e3cc2def0a0%26xkcb%3DSoBf67M30QIVoFQpYp0PbzkdCdPP",
15      "jobCardTrackingKey": "5-yul1-0-1img06jooiudg800-6af09e3cc2def0a0",
16      "encodedJobClickPingUrl": "%2Fout%3Fr%3Dzr9zNyWxXp71Ok8xVwu5IhD7cy8oFPTe-6pDtPnuONjo8XwHyMIQl913tsMYUhkbOGRqAj2DMkP5V2df7xRkNW6gYebGVGBFn0reSkck7QJL0nxL8w3-nBJ7RJnUKf7qT7ev8O2nt-gTpIEwhOrUbAeHPwqoa5uz3oW2zmAG7KZ47eitONWWkSC6aDMqGUBJJSG0O6heXjlqrTZ-lrDqNvadPfkiV9pWaagg6ZP_UyHW6dB74y-9_ST5g2WTHOr2mkc5XxY5kSB5wli3lsavFPrCdw50rpFuc4mz8VSpXQR9CswzDnXG1mipI-6A_2lSRL7YTDmW2tmf7n4oaLBi3_Js2IlQizQZlAo0j_6bmPS4qwk",
17      "jobUrl": "https://www.simplyhired.ca/job/RmHd7LjttZqdyZhiZesHGQ5n5P6j-l9oKlOcarmATLn9HjS9l5Sicw"
18  }

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Can I use this SimplyHired Jobs API in Python? πŸŽ“

Yes, you can use the Apify API with Python.

To access the SimplyHired Jobs Scraper via Python, use the apify-client PyPI package. You can find more details about the client in our Python Client documentation.

πŸ“« Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πŸŒͺ️🌩️