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Scraping job postings from career pages, newspapers and more - repost

$250-750 USD

Closed
Posted over 11 years ago

$250-750 USD

Paid on delivery
Hi I need a software to scrap / parse / aggregate / job postings mainly from career pages (like the ones majore companies have – please visit sites like [login to view URL] [login to view URL] / [login to view URL] / [login to view URL] / [login to view URL]) but also from newspapers or job boards. „Must have” features of the project: Spider jobs from websites (HTML or XML), ATS or via FTP. Jobs taxonomy for categorization based on job titles & keywords. Then the job ads should be converted into the correct format for my job board. Semantic analysis should be used, to ensure the content is accurately mapped onto my job board’s category schemes The capture has to be at the highest possible data to be parsed on a job site and it would contain the entire job advertisement. Incremental scraping feature only downloads new jobs. Synchronize jobs to guarantee that only open jobs remain posted. Filter jobs by keywords so only relevant jobs are posted. Auto-replace keywords in content & clean up job formatting. Schedule regular spidering / posting sessions. Auto-post via XML, EXCEL or CSV to single or multiple websites or forward to a list of emails. Post to HTTP interface, via API, SOAP, to FTP or email. !!!The way I want it to work: I shall introduce the adress of the main career page of the hiring company (for example only: [login to view URL] or [login to view URL] or [login to view URL] or [login to view URL]) and the software will scrap the entire posting of the job openings that will be found in the career pages of the website. The software product should be build in a way which will allow me to give only the web adress of the career section of the website to be parsed and the software product will do all the rest. This is really a must have. If needed I shall provide for you all the adresses of the career sections/pages to be parsed or at least most of them. Very important: I need to have perfect accuracy of the scraped content - text, url, images. The engine has to be able to scrap at least 600000 career pages / day (which will come from arround 30000 web-sites/day), convert them into XML, EXCEL, or similar files and post them on my job board website or spread them to other job boards. The software should be able to do at least what the following two are doing: [login to view URL] [login to view URL] If you do not wish to build up an entirely new software product you may use [login to view URL] or [login to view URL] but I would prefer visualwebripper as it is a lot cheaper. Other web scraping engines/software are welcome as long as they prove to work just as good as visualwebripper or mozenda and they are not to expensive compare to visualwebripper. Build up a visualwebripper with the “must have” features above and it will do it. Another very important thing: before paying for your work I have to make sure that the product meets all the above requirements. A free trial of 30 days or demo is compulsory. Any of the above statements are subject to questions and discussions. Feel free to ask or comment on any of the above. Kind regards Christian
Project ID: 4120724

About the project

3 proposals
Remote project
Active 11 yrs ago

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3 freelancers are bidding on average $250 USD for this job
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I can help in your project, please check PMB and our ratings/reviews to get idea of our experience. Please let me know if you have any queries.
$250 USD in 5 days
5.0 (26 reviews)
6.2
6.2
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Hi sir, please check PM, thx Kimi.
$250 USD in 5 days
4.9 (64 reviews)
6.1
6.1
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Scraping Experts Here. Check the message and contact us. Scraping samples are also attached.
$750 USD in 14 days
5.0 (7 reviews)
4.2
4.2
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Hi, Though am new to this site, but have a vast experience in web scraping (7 years). Have scraped hundreds of web sites, some nasty ones too. So, I consider myself suitable for this job. Thanks, Prashant.
$250 USD in 5 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of ROMANIA
Romania
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Member since Jan 26, 2012

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