Hourly - Est. Time: Less than 1 week, 10-30 hrs/week -
Attached you'll find the file (bestconnections-scrape.xlsx). The file contains 4 columns:
Something to note here is that if the value for any of the description fields (2, 3 or 4) match, then once the data is scraped, you just need to copy that over to the other column as well - no need to scrape it twice.
The goal is to get the descriptions of the item out. For example, if you look at the longdescription data for row 15 (S-1B.) in an html viewer, the only thing we would want left over after the scrape is:
<< see attached file - scrape1.png >>
Everything else must be deleted out. Keep in mind that there's several different variations of these descriptions. The main purpose here is to get the description of this product scraped out of the full template it lives inside.
Another example would be row 813 (LM-BK-12 X 20.), if you pull the longdescription and paste it in the HTML viewer. The only thing that should...
Hourly - Est. Time: Less than 1 month, 10-30 hrs/week -
Looking for SEVERAL candidates to help collect e-mail addresses of U.S. companies in the "Business Financing" industry AND submit contact-us forms (bots).
You would need to generate a spreadsheet with e-mail addresses ONLY which will be verified for valid e-mail information.
Recommended sources to scrape/collect include:
-Business Directories (manta, hoovers, jigsaw, lead411... and others)
-Craigslist job postings
Keywords for the industry include:
-Merchant Cash Advance
-Business Cash Advance
-Alternative Business Financing
-Working Capital Loans
Pretty simple scraping project but the output needs to be an application that I can install and run myself (or that runs in a hosted environment).
The application itself will:
a) authenticate with LinkedIn as a user
inputs for this step: username, password, verification code (may be required if running as a web app)
b) visit a specific user's profile
input for the step: target profile URL
c) scrape all the 1st degree connections for that user (this requires paginating through the contacts...)
outputs for this step (output as csv for all contacts for the target):
LinkedIn profile URL
Company URL (if available)
- this can run as a web app OR as a desktop app (I'm open to either)
- if creating a desktop app, it needs to run on OSX Yosemite or higher
- if creating a web app, you'll need to set up the server environment and provide a secured web interface for inputting the parameters
Hourly - Est. Time: More than 6 months, Less than 10 hrs/week -
We are an International Recruitment company operating in a niece market, looking for an all round admin superstar to help out with some of the crucial aspects of the business:
- web research into clients and potential clients
- LInkedIn candidate identification, and shortlist creation
- data input of research, ie. client information
- data input, from job applicants
- data input from LinkedIn research, ie. headhunted candidate information
- Searching and identifying candidate pools
- Company page content sourcing
- Looking for an all round superstar, bit of a jack of all trades
- English proficient, verbal and written
- Previous recruitment experience (especially with LI portion)
- Preferred previous recruitment experience with Accounting & Finance candidates
- Initially will identify a couple of small research projects
- Potential for ongoing work, 5-10hr a week with room to grow
Hourly - Est. Time: 1 to 3 months, 30+ hrs/week -
You will be required to research the list of websites we provide to extract details (such as names and contact details) of editors that will be used in our outreach campaigns. Fairly simple tasks, and some training will be provided – however, you should be familiar with using Google advanced operator queries and be very familiar in finding data and work quickly and efficiently.
You will also be required to make form submissions.
If you have skills in using Scrapebox and email harvesters like Atomic Email Hunter – these skills are highly valued.
For more info please contact us.
We will provide a list of individual websites in Excel/Numbers and we need the logo for every website on the list, either pulling it from the website itself, or from the press area of the website (if available) or through Google picture search. The downloaded file must be named accordingly to the website/company name. It is important to get each logo with the largest possible size, resolution and quality (and if available on a white background or as an EPS vector file).
Freelancer needs to be fluent in english. Freelancer must be reliable and accurate. For questions please contact us.
Hourly - Est. Time: Less than 1 week, Less than 10 hrs/week -
Please only accept if this can be done within 48 hours of 7/29/15.
We need to extract the "Best Sellers" list from amazon into Microsoft Excel.
We will be extracting:
Best Seller Rank
Number of Reviews
I know exactly what needs to be extracted and can show you exactly what to do.
Please be prepared to start right away. Payment will be made immediately upon completion.
I have hired for a project like this before and it went perfectly.
Hourly - Est. Time: Less than 1 week, 10-30 hrs/week -
We have a list of about 1,000 names/emails/company that need to be scrapped in Data.com (we will get you access)
From there we will have a simple process to add those contacts into our platforms database and create a copy paste email.
Additional work on this project will be considered.