Data Scraping Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
Need a cloud based scraper for a popular electronic ecommerce website. There are 2 parts to the project: 1. Scrape all the products listed (there are tens of thousands) on the website - the main data needed: - Product name - UPC - Price 2. Have the scraper then use the UPC data to search and scrape the top data results: - Product name - Price If you have done something similar in the past with proof, please apply!!
Skills: Data scraping Data mining Mozenda Scraper scrapebox
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
Requirements: Fluent English Job description Web Research & Data Scraping Email List Development LinkedIn Strategy and Marketing. Contact Leads by telephone Contact Leads by email Data Mining & Analysis Social Media Lead Generation Search in: Linkedin Craiglist Zillow,Google, and all other Social Media websites. (Also Real Estate Blogs and Real Estate forums ) Please send me your hourly rate. Several Milestones of 10 hours each
Skills: Data scraping Data mining Internet research Lead generation
Fixed-Price - Expert ($$$) - Est. Budget: $100 - Posted
Hi, We need help data mining for the terms: "mywave" commercial insurance We would like to try this in one state = California If the project goes good, we then could expand this to all 50 states. Once the websites are found, I would like all the following information if possible. 1) Name of Company 2) Website 3) All company contacts listed on the website 4) Company Address and Phone Number The data could just be listed in an excel file when finished.
Skills: Data scraping JavaScript MySQL Administration MySQL Programming
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I need someone that can scrape the attached information from public Instagram accounts This is the followers information that you can see when you select "Followers" on one of these links: The tool loops through the public bio information of followers. please quote me on this tool.
Skills: Data scraping JavaScript PHP Python
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
We are looking for someone for creating list of sellers and manufacturer of the products, like Daily Needs, Men's Fashion, Computers & Office, Women's Fashion, Home & Living, Electronics, Books & Music, Toys, Kids & Babies, Diwali Offers, Mobiles & Tablets, Gaming & Consoles, Gift Cards, Sport, Fitness & Outdoor, Motors Accessories, Real Estate & Financial etc. For registering in our website, only need a expert researcher, who already did this in past. List from amazon, ebay, snapdeal, flipkart etc.
Skills: Data scraping Data mining Internet research Investment Research
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Hi! I'm looking for someone to help us find the contact information for at least 1000 English-speaking influencers on YouTube that cover the following categories: - JavaScript - CSS - HTML - Ruby on Rails - iOS App Development - Android App Development - SQL Ideally, these users are individuals who engage with their audience and upload new videos regularly. The information needed for each influencer needs to include: - User URL - Category (from above: JavaScript, iOS, etc) - User's email address If successful, this may become a recurring project. Thanks!
Skills: Data scraping Web scraping
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
There are three websites that need to be scraped for: Name Email Business Business Type Address Phone number Website URL I require a quick chat via messaging app, skype, slack, hangout. At that point I can let you know the three URL's of the websites I'm referring to. Thanks
Skills: Data scraping Microsoft Excel Web scraping
Fixed-Price - Entry Level ($) - Est. Budget: $200 - Posted
I want to track the development in traction and engagement of the newly launched Facebook Marketplace feature. If you want to know more about the feature, you can read more here:
 This job requires developer skills, over the course of 3 monthe. The applicant must have access to the Facebook Marketplace feature in the Facebook app on iOs or Android. 

I am looking to hire four people in total, tracking the US, UK, NZ, AU where the feature is currently launched. NOTE: APPLICANT MUST LIVE IN UK, US, NZ OR AU AND HAVE ACCESS TO THE FACEBOOK MARKETPLACE FEATURE IN THEIR PHONE. What Track and monitor the use of Facebook Marketplace in US, UK, NZ and AU. Why To gain a high level overview of the FB Marketplace traction and growth. Categories we are tracking Clothing and shoes women Clothing and shoes men Baby and kids Cars, trucks and motorcycles Video games Furniture Mobile phones Sports & outdoors Miscellaneous Housing (only rooms for rent) Goals (separated by category) Average number of days to sell (day of sale minus day of posting) Average number of views per day Average number of views when sold How (suggestion) Using screenshots* of the ads (one on the day ad is posted and one when they are sold) we want to extract the following information from the images: *Ten screenshots will be taken daily in each category daily (90 in total) and uploaded to a google drive folder. The ads will need to be saved so that they are still visible to you once they are sold so you can take another screenshot to compare it to the first one. Price Date (the day the screenshot is taken) Date the ad was posted/ Date ad is sold (the day the second screenshot is taken) Item in ad (car, shoes, etc) Category Number of photos in ad Number of views when screenshotted first time Number of views when sold City ad is posted in (see attachment) You will be responsible for taking the screenshots of the new and sold ads and upload them to separate folders. From these screenshots we want to be able to figure out, perhaps by comparing the first screenshot to the screenshot when the item is sold (separated by category) Average number of days the ad took to get sold Average number of views on first screenshot Average number of daily views on ad Average number of views when marked as sold
Skills: Data scraping Data Entry Data Science OCR algorithms