Data Scraping Python Tool
$250-750 USD
Pagado a la entrega
Hello,
I’m developing a metasearch application to compare real estate prices in some capital cities around the world.
This is what I want my application to do:
1. A customer makes a query
2. The application shows the results of the query (that ones already in the database)
3. The application continuously (every hour maybe) scraps all the customer queries.
4. If the application gets a new publication that satisfies some customer query, you send a notification.
I have already developed the app and I only need to populate the database. In a first stage I want to scrape the data of the following Paris’ web pages:
1) [login to view URL]
2) [login to view URL]
3) [login to view URL]
4) [login to view URL]
5) [login to view URL]
6) [login to view URL]
7) [login to view URL]
8) [login to view URL]
9) [login to view URL]
10) [login to view URL]
11) [login to view URL]
12) [login to view URL]
13) [login to view URL]
The information we are interested to extract is:
- house_type: House/Aparment
- rent_type: Location/Colocation
- address
- price
- m2
- images
- rooms_number
- description
- since: since when is it published
- contact_information
- source
In addition, I’m interested in implementing a notification system that is triggered when a new publication is available in one of the previously listed web pages. So one of the challenges is to run continuously the data scraper script on server in a efficient way.
I’m currently developing the app in Django so the data scraper has to be coded en Python (maybe JavaScript).
I will need an approximate price for the Python script that will extract the data and keep the database updated for:
1. The 13 Paris’ web pages previously listed
2. The 13 Paris’ web pages previously listed + Approximately 50 web pages from other capital cities
Once I have a selected the web scraping developer I will write the formal requirements.
If you have any questions please feel free to ask.
Nº del proyecto: #25779290
Sobre el proyecto
38 freelancers están ofertando un promedio de $517 por este trabajo
Hey there, I have 4 years of working experience in web technologies and I have a strong working knowledge of every possible framework which is in the market. In terms of client-end I know: Data Scraping, HTML, Web Scr Más
Hello, my name is Puru. I am from India. We have 6+ years experience in providing integrated development solutions including web-dev, web automation and web-based applications. We have industry-grade expertise in pytho Más
Hi I have read your project details carefully. I have rich experience in web scraping I can carry out your project perfectly Thanks Liao
Hi, I am web scrapping expert. I read your description carefully and can do your project with your requirements. Please contact me and discuss more. I have good skills on python/Django expert. Best regards.
Hello Scraping Expert is me. I am familiar with python script for scraping. Much works done by me for a long time. Sure the perfect result. I am waiting for your reply. Thanks you.
Hi, [Update: As you mentioned about application that you want to scrape based on customer query every hour, that is not clear. We should scrape all required data and keep in database, and customer will query using give Más
Hi I am a very experienced statistician, data scientist and full stack developer. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation Más
Hello, Hope this message finds you well, I checked your details and I believe that my experience is what you are looking 4. I have been working on similar projects for the past eight years, and I have the essential sk Más
I can deliver over the weekend, will need more details on data structure you need and we're off to the races. PM me for approach details
I am a full stack developer , I have similar kind of experience what I did latest project which is scrapping product information from aliexpress . the data is store on postgreSql server. we used following tech stack. ( Más