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Data Scraping Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $100 - Posted
Hi there I need to have a software program script written to essentially copy data from a public website and paste the data into an Excel spreadsheet or Google Drive sheet. There are a total of 4350 records to be copied. Please note this requires the skills of a software developer Thanks
Skills: Data scraping Agile software developmennt Scripting
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
We're looking for someone to scrap twitter for us. Specific keywords / hashtags would be provided to you for e.g. webinar or teleclass etc. You need to follow the link people are talking about using that hashtag and collect data such as the webinar host's name and contact info.
Skills: Data scraping Data Entry Data mining Internet research
Fixed-Price - Entry Level ($) - Est. Budget: $75 - Posted
Manual and Precise Data Research from Yellow Pages for Business Competitor Categories for ZIP codes 32216 32246 32256 We require the following information. Business Name Address City State Postal Phone Number Website Email - VERY IMPORTANT (If email not available, you will try to find it on company’s website per specific ZIP Code requested, keeping in mind that if the email is not for the local business within that specified ZIP code - To verify you have read the entire job description carefully, please begin your proposal with the word "ATTENTION".) Output file is .CSV format.
Skills: Data scraping Data Entry Data mining Email Deliverability
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I have downloaded ALL files - text and metadata - http://thomas.loc.gov/home/multicongress/multicongress.html The gov't puts text in one file and metadata in another file. Put these together into one JSON file per bill, nomination, or amendment. General Specifications for THOMAS Context Parse materials from Library of Congress (THOMAS). Convert to JSON. The parser should be optimized for speed. Deliverables - Python code utilizing good programming practices and principles (e.g. use of a good style guide for readability; good OOP principles) - Documentation (how to use the program you’ve written and how the file directory hierarchy is laid out) - JSON files. Further Details http://thomas.loc.gov/home/LegislativeData.php?&n=BSS&c={congress}.format(congress=congress) Congress is the congressional meeting; the latest is the 114th congress Iterate through Bills and Legislative actions Keys of the JSON representation would be under the following structure (see model at the end of this documentation) Important: top level “words” field must be clean, text-only, no extraneous whitespace (no non-ASCII characters), no \n's JSON Data Model { “external_id”: LoCT_<Congress Number>_<Bill number>, “abstract”: “...” # summary “date”: <introduction date of Bill>, “title”: “official title”, “words”: “...”, “meta”: { “latest_title”: “...”, “sponsor”: “...”, “text_of_legislation”: “...”, “titles”: [“title 1”, “title 2”, ...], “related_bills”: [“bill 1”, “bill 2”, ...], “cbo_cost_estimates”: , “text_of_legislation”: “...”, “cosponsor”: [“name 1”, “name 2”], “amendments”: [“amendment 1”, “amendment 2”], “subjects”: [“subject 1”, “subject 2”], “crs summary”: “...”, “committees”: [ { “committee 1”: “...”, “subcommittee”: “...” }, { “committee 2”: “...”, “subcommittee”: “...” } ], “congressional_actions”: [ { “action 1”: [“sub-action 1”, “sub-action 2”, …, “sub-action n”]}, { “action 2”: [“sub-action 1”, “sub-action 2”, …, “sub-action n”]}, …, { “action 3”: [“sub-action 1”, “sub-action 2”, …, “sub-action n”]} ] } }
Skills: Data scraping Python
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Hello, I am looking for someone to build me a list of email addresses. You must find the prospects on linkedin. I am looking specifically for users who work in requested ZIP codes (to be provided PM) Must have a proven track record and confidently be able to do this task. Must be able to provide weekly reports that include data in Excel files. Must have excellent Communication Skills. Start you PROPOSAL WITH THE WORD "IN" to verify you have read the description correctly.
Skills: Data scraping Data Entry Data mining Email Handling
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Looking for a lead generation expert with a premium Linkedin account to scrape a list of leads. Criteria: Current Title: Marketing Director Country: United States Industry: Legal Services Industry: Law Practice Company Size: 11-50 The result should be an excel file with the following info: First name Last name, Title, Email address, Company name, Company size, Linkedin url and phone number if possible. Please recommend the best way you will approach this task. Please reply with "I have read and understood the instructions" at the start of your application. What challenging part of this job are you most experienced in? Have you taken any oDesk tests and done well on them that you think are relevant to this job?
Skills: Data scraping Data mining Internet research Lead generation
Fixed-Price - Intermediate ($$) - Est. Budget: $25 - Posted
We have prepared a detailed brief herewith: https://docs.google.com/document/d/1_iJ4rIlkZSR9isbJHd8Q5Rp7-K64hkPM_0lwydBH7t4/edit Please read the brief carefully and go through the related Google Sheet with the mockup of 1 row (partial). This is a small and simple python work but requires accuracy, awareness of UTF-8 data, precision. Enjoy!
Skills: Data scraping Node.js Python
Hourly - Entry Level ($) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
We are looking for assistance for the following data mining tasks urgently: 1. Find contact information (company name, website, contact name, email addresses, phone numbers and address) for specific services from a classified site. - Approx. 5,000 leads 2. Collect information from a real estate classifieds site and update the information in our back office. (Approx. 1000 pages) We will provide the source and also the format for the data extraction. Please respond only if you can start immediately and complete the tasks in 3 days.
  • Number of freelancers needed: 3
Skills: Data scraping Data mining Internet research Lead generation
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