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Scrape, extract jobs from Indeed and export to CSV/Excel Extract jobs, salaries, locations from Indeed and exporting them to CSV, Excel or JSON file. Our scraper simplifies the process of searching and extracting detailed job data, requiring no coding expertise. # Features ✓ Extract jobs search results and all pages automatically ✓ Extract full descriptions of jobs ✓ Export as Excel, CSV, and JSON # Supported fields: - Position Name - Salary - JobType - Shift And Schedule - Rating - Company - Location - URL - PostedAt - Description Text - Description HTML - External Apply Link - etc. With the Pro version and settings activated, you can get additional fields such as: Description Text, Description HTML. # How to get started? 1. Open indeed.com and conduct a search with some info like job title, company name, and location. 2. Click the Download button next to the “Search” button. Then just wait to scrape complete. 3. Once extraction is done, click 'Export'. # FAQ https://indeed-scraper.convlead.com/#faq Encountering issues? Email us directly at support@convlead.com. In the popup, we offer these extra features: Relevant-Ext: Brief recommendations and introductions to related extensions. # Data Privacy Your data's security is our top priority. Rest assured, all data remains on your device, ensuring 100% privacy and trustworthiness. # Statement Indeed is a trademark of Indeed Inc. Jobs Scraper for Indeed is not affiliated with, endorsed, sponsored, or otherwise related to Indeed, Inc. or any of its affiliates or subsidiaries. # About Pro Jobs Scraper for Indeed is a paid extension, you can get basic functionality and upgrade to get more functionality.
Feb 7, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.