Web Scraping Jobs

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Hourly - Entry Level ($) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
Hello, I need a group of internet researchers who can do various tasks fro me, primarily downloading files and may some research. Newbies are welcome to apply. The project is a long term project and can be an opportunity for you to work on long term basis for me. You'll be required to answer the following while replying: 1- What is your level of English language? 2- How comfortable are you with Internet research? 3- Can you download files easily? (You may be asked to download a few files as a test) 4- Do you have a reliable Internet connection? Good luck.
Skills: Web scraping Administrative Support Google search Internet research
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 30+ hrs/week - Posted
Please answer the following 3 questions in order for your application to be considered: 1) What is your experience with the most popular programming languages & technologies? 2) Can you start immediately and how many hours/week? 3) If you were to build (or participate into building) a price comparison e-commerce site that gathers products from amazon, ebay, target, bestbuy what stack/technologies you would use? IMPORTANT: Prior experience is a MUST, include demos/description of your best projects (doesn't have to be e commerce) and exact position you had in that project. Our budget is healthy, adjustable and highly depends on technologies used and project completion time.
Skills: Web scraping AngularJS Big Data CSS
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Data Mine Contact Info of Millionaires in Memphis, Tennessee, USA I need to find the contact info of any individual located within a 30 mile range of zip code: 38135 (Memphis) who have a net worth of at least $1M I need: - First Name - Last Name - Email - Phone Number - Website Url - Company Name - Address (if available) - Job Title
Skills: Web scraping Data mining Internet research
Hourly - Expert ($$$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I want a custom indicator that will simply use the readfile function to plot in the data window and a separate indicator window the values of the CSV as a line. It has data for DATE and TIME , and is a leading indicator. The values must be able to be read and have outputs for my back-testing purposes used with another software program.
Skills: Web scraping MetaTrader 4 (MT4) MQL 4 NinjaTrader
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
We are trying to extract our operational data from a past website platform that we no longer use. Scrapers I have tried before don't seem to fit because I need to scrape the contents of dialogue. See attached word file for more details. All this data will be pushed into a database that I'm trying to design for the company
Skills: Web scraping Data scraping "Extract, Transform and Load (ETL)"
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
I prospect using LinkedIn. I would like to develop a custom Chrome extension to help me with the prospecting. The tool would be similar to the plugin found with Salestools.io in which I could scrap and save Linkedin Profile data and also automate the invite process. I would like for the data to be saved to Google Sheets, if possible. I would like the tool to carry further functionality such as the ability to auto-visit LinkedIn Profiles. Thanks - Brian
Skills: Web scraping Data scraping JavaScript
Fixed-Price - Expert ($$$) - Est. Budget: $300 - Posted
I need someone to help us write a script that (1) gets all public URLs of employee profiles (please note: LinkedIn login session required) and (2) gets all relevant data from a list of public profile URLs of employees working for a specific company on LinkedIn: - Go to the search URL to find all employees for a specific company on LinkedIn and add companyID (e.g. https://www.linkedin.com/vsearch/p?f_CC=62172) - Scrape all public URLs of employees per company (e.g. https://www.linkedin.com/in/emmy-canales-24746b19) - Go to the URLs of the specific employees' profiles connected to this company on LinkedIn (e.g. https://www.linkedin.com/in/emmy-canales-24746b19) - Get these fields (= classes) from each employee profile page on LinkedIn: *name (e.g. Emmy Canales) *headline (e.g. Analista de Recursos Humanos II en Banco Centroamericano de Integración Económica (BCIE)) *profile-picture (e.g. https://media.licdn.com/mpr/mpr/shrinknp_200_200/p/6/005/054/32e/334ccbe.jpg) *location (e.g. Honduras) *industry (e.g. Banking) *signup-button (e.g. View Emmy’s Full Profile) *currentPositionDetails > position > item-title (e.g. Analista de Recursos Humanos II) *currentPositionDetails > position > item-subtitle (e.g. Banco Centroamericano de Integración Económica (BCIE)) *currentPositionDetails > position > item-subtitle url (e.g. https://www.linkedin.com/company/bcie) - Add companyId via URL in current position details (e.g. 62172) - Get first name as a separate field (e.g. use signup-button text “View Emmy’s Full Profile” to fetch first name as a separate field) - Get last name as a separate field (e.g. use signup-button text “View Emmy’s Full Profile” to detract first name from name, in order to get last name as a separate field) Thereafter, find the email addresses of all employees fetched from LinkedIn: - Go to https://emailhunter.co/ and use the website URL of each company to find the email pattern (e.g. {​f}​{​last}​@bcie.org for http://www.bcie.org/) - Generate email address of the employees via this email pattern (e.g. ecanales@bcie.org) The output we need is: 1. A script that lets us input/upload a (list of) LinkedIn companyId(s) and/or URLs (e.g. 62172, https://www.linkedin.com/company/62172 or https://www.linkedin.com/biz/62172) and executes the steps mentioned above to get all relevant data for all employees connected to this company, preferrably to be downloaded as a *.xls(x) or *.csv file; 2. A file containing the output of #1 (all relevant data for a list with all LinkedIn Company Page URLs currently available), preferrably *.xls(x) or *.csv
Skills: Web scraping Data scraping
Fixed-Price - Expert ($$$) - Est. Budget: $200 - Posted
I need someone to help us write a script that automatically gets all relevant data from a company page on LinkedIn: - Go to the specific company page URL on LinkedIn (e.g. https://www.linkedin.com/company/bcie) - Scrape these fields (= classes) from each company page on LinkedIn: *companyId (e.g. 62172) *name (e.g. Banco Centroamericano de Integración Económica (BCIE)) *company_logo (e.g. https://media.licdn.com/media/p/7/005/068/09c/141ec10.png) *hero-img (e.g. https://media.licdn.com/media/p/6/000/27f/2d2/236cf57.png) *basic-info-description (e.g. Misión (…)) *specialties (e.g. Banca de Desarrollo) *website (e.g. http://www.bcie.org) *industry (e.g. International Trade and Development) *type (e.g. Privately Held) *street-address (e.g. BCIE Blvd. Suyapa) *locality (e.g. Tegucigalpa,) *region (e.g. MDC) *country-name (e.g. Honduras) *company-size (e.g. 201-500 employees) *founded (e.g. 1960) - Generate search all employees URL via companyID (e.g. https://www.linkedin.com/vsearch/p?f_CC=62172) The output we need is: 1. A script that lets us input/upload a list of URLs of LinkedIn Company Pages (preferably a *.xsl(x) or *.csv file) and execute the steps mentioned above to get all relevant data per URL; 2. A file containing the output of #1 (all relevant data for a list with all LinkedIn Company Page URLs currently available), preferrably *.xls(x) or *.csv that can be downloaded after we run the script as mentioned in #1.
Skills: Web scraping Data scraping