Linkedin Job Information By URL
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What Data Can You Capture Using the LinkedIn Job Listing Scraper?
This tool allows you to extract job titles, job details, skill requirements, salary ranges, and other data from LinkedIn, as well as information about recruiting companies. If you require additional information, please contact us.
Does this tool require any programming knowledge? Is the operation process complex?
This tool requires absolutely no programming knowledge. We’ve designed an extremely user-friendly graphical interface for the average user. The operation process requires only three steps:
- Select your desired scraping method (e.g., scraping by URL) and enter the necessary information (e.g., URL).
- Click the "Start Scraping" button, and the system will automatically begin.
- After the task is completed, simply click the "Export" button to download the structured file.
The entire process is as simple as clicking and entering the necessary information; no code is required. We also provide comprehensive documentation for developers and technical staff to meet more advanced integration needs.
What formats can the scraping results be exported in?
You can choose to export in JSON, CSV structured formats.
Is the returned data real-time?
Yes, each call fetches the latest public data from the target website, ensuring that the results are synchronized with the platform. This ensures data timeliness without relying on any caches.
Is this tool's crawling process stable and compliant?
We use various technical measures to ensure a stable, compliant, and responsible crawling process:
- Rules of Compliance: Our crawler logic strictly adheres to the target website’s
robots.txtprotocol and simulates normal user access behavior to avoid malicious attacks on the target website’s servers. - Smart Scheduling: Our system uses techniques such as IP address rotation and randomized request delays to effectively circumvent anti-scraping mechanisms, significantly reducing the risk of being blocked.
- Ongoing Maintenance: Our professional team continuously monitors changes in the target website’s page structure and promptly updates the crawling algorithm to ensure long-term service stability.
Our goal is to provide you with data securely and continuously, not just a one-time acquisition.
Can we customize our scraping tasks to meet my specific needs?
Of course, if your requirements are very specific (for example, requiring specific fields or requiring a very high scraping frequency), our technical team offers paid customization services. Simply contact us through our official website to discuss your specific needs, and we’ll evaluate and provide a customized solution.
Dictionary
| Column name | Description | Data type |
|---|---|---|
| url | The job posting's web link on LinkedIn | Url |
| job_posting_id | Unique identifier for each job listing | Text |
| job_title | Title of the advertised job position | Text |
| company_name | Name of the hiring company | Text |
| company_id | Unique identifier for each company | Text |
| job_location | Geographic location of the job | Text |
| job_summary | Brief overview of job responsibilities | Text |
| job_seniority_level | Seniority level of the position | Text |
| job_function | Specific department or function of the job | Text |
| job_employment_type | Type of employment offered | Text |
| job_industries | Industries associated with the job | Text |
| job_base_pay_range | Salary range for the position | Text |
| company_url | LinkedIn profile link of the hiring company | Url |
| job_posted_time | Timestamp for when the job posted | Text |
| job_num_applicants | Number of applicants for the job | Number |
| discovery_input | Discovery input values | Object |
| apply_link | Link or information for job application | Url |
| country_code | 2 letter country code | Country |
| title_id | standardized LinkedIn job title ID | Text |
| company_logo | the logo image of the company posted the job | Image |
| job_posted_date | parsed date of the job posting time | Date |
| job_poster | job poster | Object |
| application_availability | Whether a user can still apply for this job | Boolean |
| job_description_formatted | The job description as it appears in LinkedIn | Text |
| base_salary | base salary | Object |
| salary_standards | salary standards | Text |
| is_easy_apply | Does it have easy apply | Boolean |
Input
Job URL job_url Required Text
Description: This parameter specifies the job URLs to scrape.