Scraping Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $800 - Posted
This is the first in a series of jobs -- i.e., this can lead to a lot of work. It's the fun part of data-science and analysis (in my opinion) where you are connecting disparate data sources and looking for interesting correlations/causations. Some of this *could* be done in Excel but we'd prefer Python or R. Ideally, you are familiar with many public data sets including US Census, NIH, IRS, WISQARS, Zillow, NAR, GSS --- and many more -- i.e., we won't be able to tell you where to go to get data all the time. The work you do here, if satisfactory, will pave the way to further analysis This initial job consists of two tasks. 1. Are the rates at which taxes prepared correlated with the foreclosure rate in a given zip? a) we will take property default rates at the zip level from Zillow (per 10,000 units) http://www.zillow.com/research/data/ http://files.zillowstatic.com/research/public/Zip/Zip_HomesSoldAsForeclosures-Ratio_AllHomes.csv b) we will take IRS reported data on tax preparations (it's buried among lots of data here): https://www.irs.gov/uac/soi-tax-stats-individual-income-tax-statistics-zip-code-data-soi Questions: - how does foreclosure rate correlate with tax preparation? - has that changed over time? - can you isolate the effects of this as an independent variable? - produce charts, r value for the correlation and other insights 2. How does gun ownership affect foreclosure rates and home prices? (note this is a broader question) a) property data http://www.zillow.com/research/data/ Foreclosure Media Price Price per square foot data b) gun ownership data (this will require creativity) https://www.atf.gov/firearms/listing-federal-firearms-licensees-ffls-2013 (change last 4 digits in url to get from 2013 to 2015) Use WISQARs, NCHS, GSS, Census etc. Questions: Does gun ownership impact property prices? Are they correlated in any way?
Skills: Data scraping Analytics Data Science Statistics
Fixed-Price - Intermediate ($$) - Est. Budget: $540 - Posted
Hi, I'm looking to create a desktop app that will automatically pull in the data from Angellist after I set the criteria for a company search. Here's an example search: https://angel.co/companies?locations[]=San+Francisco&locations[]=San+Francisco&locations[]=San+Francisco&locations[]=San+Francisco&locations[]=San+Francisco&locations[]=San+Francisco&locations[]=San+FRANCISCO&raised[min]=2830196&raised[max]=100000000&signal[min]=4.1&signal[max]=10 Here's an example output I'm looking to create: https://docs.google.com/spreadsheets/d/14pb8Vyy7hStUD8aP32zzF-b69JhqhbXPdc-AaGWKkV8/edit?usp=sharing The only difference is there should be up to several employees for each company (depending on how many Angellist shows) rather than just one. Keep in mind, I also need the scraper to find the LinkedIn URLs of each employee listed. From my understanding, data from only 400 companies can be pulled at a time. I'm totally fine with that.
Skills: Data scraping JavaScript Web scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $350 - Posted
I have a desktop application written in Python that automates navigating and scraping 5 web sites. I am using a proprietary tool called Fminer (http://www.fminer.com/) to design macros (scripts) to perform various functions on these 3rd party sites.
Fixed-Price - Entry Level ($) - Est. Budget: $100 - Posted
I have a link to a site that has the postal addresses of all US State legislator representatives. I need those addresses. The instructions will look like this: 1. Go to (Give you address later) 2. Select State in drop down menu 3. When you get to a state page of legislators there is a link for SENATE, HOUSE AND BOTH CHAMBERS. Click on BOTH CHAMBERS 4. Click on NAME of representative and it will take you to their info page. On that page there is an postal address listed for DISTRICT OFFICE and or CAPITOL OFFICE and or SENATE OFFICE. I need CAPITOL OFFICE postal address. If only DISTRICT OFFICE is listed, then harvest that.
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
We are looking for an expert in Wordpress MySQL and phpMyadmin to provide proven advice or plugin suggestions on the transfer of JUST Wordpress content such as articles, meta data and images that match up with the permalinks We know there are many plugins for full site migration such a backup buddy and vaultpress and have tested them but these are not what we are looking for. We specifically want ONLY articles and images migrated with nothing else. No plugins, No Themes and residual data. Just the content. What we require is someone who knows exactly how to do this as we've tested the official wordpress import/export tools but this is no currently working. So we need some suggestions and may possibly require support via chat to assist us with phpMyadmin manual transfer. We anticipate 1-3 hours of time for this.
Skills: Data scraping Data Backup Data Recovery phpMyAdmin
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I need you to scrape car sales from public website. Just 8 or 10 colums. I need delivery in csv or excel.
Fixed-Price - Expert ($$$) - Est. Budget: $350 - Posted
We want to take each individual job# and access each of those pages. These are the pages we want to scrape / crawl. http://a810-bisweb.nyc.gov/bisweb/JobsQueryByLocationServlet? ... requestid=4&allbin=1015592&allstrt=WEST%20%20%2024%20STREET&allnumbhous=49 The second section/crawler is the "actions" screen. Here want to scrape each of the pages http://a810-bisweb.nyc.gov/bisweb/ActionsByLocationServlet?
Skills: Data scraping JavaScript Web scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
We are looking for someone who can help us do the following: * Take data in an Excel spread sheet and convert to a dbf file and confirm that the data was successfully converted and the data is in the correct fields. * Take data that is in a dbf file, remove unwanted data and upload into the SQL database. * Test and confirm the data was successfully uploaded into the database and that the data is located in the correct field. This would include the ability to create queries and debug the SQL database and\or locate data upload errors. The datasets range in size from a 1 MB to large files with up to a several hundred GB. Contract can be fixed price by the job (file\data uploaded) or hourly with cost not to exceed. Individual freelancers only please.
Skills: Data scraping Data mining