Extração de Dados Jobs

I need a senior-level specialist to harvest product data from several e-commerce sites and deliver it in a single, well-structured CSV file. The task demands production-ready techniques—think Scrapy spiders hardened with rotating proxies, Selenium or Playwright for dynamic content, and solid anti-bot countermeasures. The information I’m after is very specific: product names, prices, pictures, and SKU. Nothing less, nothing more. Your solution must run reliably at scale, cope with frequent layout changes, and leave no trace that could trigger blocks. Python is the preferred stack, but if you have a proven alternative that meets the same bar, I’m open to hearing it. To be considered, include in your proposal: • At least one example of a comparable e-commerce scrapi...

PDF to Excel Data Scraper Needed Job Title: Data Scraper Needed: Convert 24 PDF Factsheets to Clean Excel (Mutual Fund Portfolios) Project Overview: I need a freelancer to extract detailed stock portfolio data from ~24 Mutual Fund Monthly Factsheets (PDFs). I will provide the URLs/Files. Your job is to extract the full stock holdings table for specific funds and deliver a consolidated, clean Excel/CSV file. The Goal: I need the complete list of stocks (100% of the portfolio), NOT just the Top 10. The data is used for financial backtesting, so accuracy is critical. Even top 85-90% data works. Scope of Work: Input: ~24 PDF Files (Monthly Factsheets). Target Funds: For each month, extract data for the Top 10 Equity Funds (e.g., Bluechip, Midcap, Smallcap, Value Discovery, etc. - list wi...

We want to do this in a consulting / facilitators / builders format in which we work with the facilitator / consultant / trainer for 3-6 hours a week for 3-6 months in order to help us collaboratively create various agents for our private equity business. We DO NOT want someone to exclusively build by itself (unless requested) but rather help us build together. The only billed time will be the time spent on the video call with our team, unless specifically approved otherwise. We want to be able to create a screen scrape tool to average certain cost items of specific real estate projects We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extens...

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I need a seasoned Python developer to build a robust scraper that collects the required data and writes it straight to JSON—no additional cleaning or processing necessary. Once we begin I’ll provide the target URL(s) and any access details; for now, assume a standard public site with pagination and occasional anti-bot checks. Core expectations • Written in Python 3 using requests/BeautifulSoup or Scrapy; resort to Selenium only if there’s no lighter workaround. • Handles pagination, retries, and polite delays gracefully so the run can complete unattended. • Config file or clear constants for headers, cookies, and start URLs, letting me tweak targets without editing core logic. • Produces a single JSON file (or one file per page if that’s...

I need to build a reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories. I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum. Deliverables • One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected. • No duplicates; every...

PDF to Excel Data Scraper Needed Job Title: Data Scraper Needed: Convert 24 PDF Factsheets to Clean Excel (Mutual Fund Portfolios) Project Overview: I need a freelancer to extract detailed stock portfolio data from ~24 Mutual Fund Monthly Factsheets (PDFs). I will provide the URLs/Files. Your job is to extract the full stock holdings table for specific funds and deliver a consolidated, clean Excel/CSV file. The Goal: I need the complete list of stocks (100% of the portfolio), NOT just the Top 10. The data is used for financial backtesting, so accuracy is critical. Even top 85-90% data works. Scope of Work: Input: ~24 PDF Files (Monthly Factsheets). Target Funds: For each month, extract data for the Top 10 Equity Funds (e.g., Bluechip, Midcap, Smallcap, Value Discovery, etc. - list wi...

We’re looking for 20 freelancers to help with: Screening apartment applicants which are not on Airbnb, yet so we can get them listed. Our Cities: London / Stockholm / Barcelona / IBIZA / Los Angeles / Miami Answering tenant questions. You’re a fit if: - Sharp and fast - Friendly and ambitious - Detail-oriented and reliable - Comfortable working independently The income is around is about 1000,- to 3000,- $ Send a short intro with your experience and availability. Sincerly, Alex & Dimpi

For an upcoming market research study, I need a fully-automated workflow that gathers and enriches data from well over 500 LinkedIn profiles. The automation should locate the profiles that match criteria I will provide, pull the key public details, then append reliable off-platform contact information so I can reach those professionals directly. Please design the script or low-code sequence with any reliable stack you prefer—Python, Selenium, PhantomBuster, Sales Navigator API, or comparable tools are fine as long as the method is repeatable and respects rate limits. Deliverables • CSV/Excel file containing one row per person with: – Current job title – Company name – Verified email (and phone, when available) • Source code or workflow fi...

Virtual assistance for testing in Burkina Faso,Cameroon, Ghana, Guinea. We are looking for a QA specialist, a virtual assistant or a data scraper based in Burkina Faso, Cameroon, Ghana, Guinea for long-term cooperation to test mobile and web applications. The ideal candidate must be detail-oriented, reliable, and able to strictly follow provided instructions and test scenarios. No special skills are required to complete the testing

Need existing database of European countries which u scrapped earlier

The contractor is commissioned to download DRM-protected videos from an online portal to which the client has legitimate access and usage rights. The videos must be processed as follows: - Download approximately 240 videos from the portal with about 18 hours video material - The videos have an average length of approximately 5 minutes - Original video titles must be preserved - The videos must be organized into folders according to the portal order/structure - All files must be uploaded and stored on Google Drive - The final folder structure on Google Drive must be same like on the portal

Virtual assistance for testing in Burkina Faso,Cameroon, Ghana, Guinea. We are looking for a QA specialist, a virtual assistant or a data scraper based in Burkina Faso, Cameroon, Ghana, Guinea for long-term cooperation to test mobile and web applications. The ideal candidate must be detail-oriented, reliable, and able to strictly follow provided instructions and test scenarios. No special skills are required to complete the testing

The dataset I need transferred contains both text and numerical values and must be entered faithfully into Word and Excel templates I will supply. Consistency across both formats is essential, so I expect close attention to detail as you type, verify, and cross-check each entry. I work to tight schedules, therefore speed is important—but never at the expense of accuracy. A brief note outlining your prior data-entry experience will help me gauge how quickly you can adapt to the structure of my files and any keyboard shortcuts I already have in place. I will hand over the source documents, the destination spreadsheets, and clear naming conventions once we agree on timing. If you spot anomalies or unreadable characters while you work, flag them so we can resolve issues in real time. ...

Virtual Assistant Especializado en Prospección y Research Comercial (Lead Generation B2B) Estamos buscando un Virtual Assistant altamente cualificado y proactivo, con un perfil semi-comercial y analítico, enfocado en la prospección y la investigación comercial. Este rol no es para un asistente administrativo clásico, sino para alguien que piense y actúe como un Sales Development Representative (SDR) junior. Responsabilidades clave: Investigación de leads: Buscar negocios en el sector beauty & wellness por ciudad. Identificar decisores clave (dueños/directivos). Validar el tamaño y la adecuación de los leads con nuestro programa/licencia. Extracción y enriquecimiento de datos: Recopilar correos electr&oac...

I need a fresh, accurate Gmail list of people who own their homes in the United States, preferably those in the older age brackets. The file should be fully verified so every address is active and formatted for easy import into my CRM (Excel). Details I expect for each lead • 200K Email List • All Active Usa Mail • Verified •Remove Duplicates • First and last name • Gmail address • City / State (zip code if available) • Confirmation that the contact is a homeowner

I have an urgent need for a clean, well-structured dataset containing the listing agent’s first name, last name, mailing address, and phone number for well over 500 active Zillow listings. Speed is critical, but accuracy matters just as much; the final file should be ready for immediate import into my CRM. You are free to use whichever stack you prefer—Python with BeautifulSoup or Scrapy, Selenium, residential proxies, even the unofficial Zillow API—so long as rate-limits are respected and the data is complete. I don’t need property details or price history; the focus is strictly on the agent contact fields. Deliverables • CSV or XLSX with a separate column for each required field • A short read-me explaining the script or method so I can rerun it la...

I need a clean pull of every location listed on For each branch please capture: country, state, complete address, service type, phone number, and email address. The final deliverable is a single Microsoft Excel workbook containing one sheet only. All columns should be clearly labelled and the range converted to an official Excel Table so I can apply native filters instantly. No additional filtering is required on your side; just be sure the table structure supports easy filtering by any column once I open the file. Accuracy matters more than speed—every location on the site has to be included and the contact details must match what is shown online. When you hand over the file I will spot-check a sample of entries against the live site to confirm completeness and correctness bef...

I’m interested in buying an existing dataset you’ve already scraped from TruePeopleSearch. What I specifically need is the contact information section—phone numbers for sure, and any email addresses or other direct lines you may have captured at the same time. I don’t need the address history or relatives/associates fields, so feel free to leave those out if they’re present. This is not a fresh scrape request; I only want data that you currently have on hand. Anything compiled within roughly the last twelve months is perfect, but older archives could still be useful if they’re large and well-structured. I’m flexible on format: CSV, Excel, or JSON all work. Just let me know which one your files are in, when the data was pulled, and roughly how man...

### Overview We are looking for **Python engineers focused on web scraping, data extraction, and data cleaning**. This is **NOT** a large system or customer-facing role. The work consists of: * Small, clearly scoped Python scripts * Web scraping (HTML, PDFs, APIs) * Data cleaning and transformation * ETL-style utilities All work is: * Async-first * Internal tools only * Clearly scoped with written requirements This is **ongoing contract work**. Strong performers may receive long-term work. --- ### What You’ll Be Doing * Build Python scripts to scrape public websites * Parse HTML, JSON, CSV, and PDF files * Clean and normalize messy real-world data * Write clear, maintainable utility scripts * Deliver working code (not just prototypes) --- ### Required Skills * Strong Pyt...

I need to build a reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories. I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum. Deliverables • One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected. • No duplicates; every...

Targeting local service based businesses with high customer value in following niches for google ads: 1. Plumbers 2. HVAC 3. Electricians 4. Roofers Location: Top high paying US cities (in EST preferred): Fields required: 1. Email (ofcourse) 2. business name 3. niche/category 4. city Need to send sample of 50-100 leads when requested (before awarding the project). Once the project is awarded: 1. Need to send verification/validation status of the emails as well. 2. Need to disclose the source of where they're scraped from (google maps, facebook, yellowpages etc. - basic idea) and what verification/validation service API is used (eg. reoon, millionverifier, zerobounce etc). Note: 1. Time wasters please stay away. 2. Need more leads after first 12k leads batch (future opportunit...