We require an intelligent scraper/parser to be built to find, scrape, parse and normalize data from job ads from thousands of websites. The scraper will start by running searches on well known job aggregators like [url removed, login to view], [url removed, login to view] [url removed, login to view] or [url removed, login to view] and will then follow those links back to the originating website to scrape the data. The parsing engine must work on the content regardless of the page structure. It must parse and pull out job title, job description, locations, dates, email addresses, job id codes, etc... a full list of fields will be provided.
Once the scraper has found, scraped and parsed the job there will be post processes to catagorize the job, assign the job to the right employer and dedupe the job list.
This must be a robust, advanced software build with ongoing development and upgrades in the future.
You must have experience building scrapers and parsers. A detailed spec including field lists etc. will be provided.
23 freelancers are bidding on average $2722 for this job
Dear sir, We are a set of teams work for the clients and satisfy them. Reasonable with quality. We really love to work on your project, Please check PM for more details. Thanks A.
We have already done similar projects before. We have necessary experience for this project. We have highly experienced team for this project. Please check INBOX for more details.