Extração de Dados Jobs

I am looking to buy an existing Canadian business database containing up to 5 million records. Required fields include business name, full address, phone number, and business type. The data must already be available in Excel or CSV format. My budget is ₹500 INR, so only bid if you already have the data available for sale. Please share a sample before purchase.

I’m looking for a fast, reliable way to pull company contact details straight from the official exchange sites — and nseindia.com. The goal is to capture every listed company’s publicly annoucements and save them into a database. The script should run everyday and collect below: The scripcode from NSE and BSE Categoryname of the annoucement The weblink to the announcement bseindia and nseindia may have their own api which can be used. Links to NSEIndia: (SME tab) Link To BSEIndia Annoucements: Deliverables • A runnable Python script which gives insert SQLs to to updated in DB. I’ll verify the work by cross-checking a random sample of companies against the live pages, so accuracy and field completeness matter more than raw speed.

I need assistance with advanced searching on LinkedIn Sales Navigator to find potential clients. The main criteria for my searches will be job titles and functions. Key requirements: - Expertise in LinkedIn Sales Navigator - Proficiency in advanced search techniques - Ability to effectively filter by job titles and functions Ideal Skills: - Prior experience in lead generation via LinkedIn - Familiarity with various industries and their job roles - Strong understanding of LinkedIn's algorithms and search functionalities Looking for a freelancer who can streamline my search process and help me identify high-value prospects.

I’ll provide you with a spreadsheet listing the target companies plus the exact job titles I’m after—Directors / VPs as well as Managers / Team Leads. Your task is to track down each person’s direct phone number and have every single entry verified through a reputable third-party verification service rather than by simple web scraping or guess-dialing. How I see the workflow • You locate the right contact at the specified designation. • You capture the direct line (mobile or direct desk extension—no switchboard numbers). • You run the number through the third-party service to confirm it is active and tied to the correct individual. • You deliver a clean, well-structured sheet that includes name, title, company, verified phone numbe...

I am looking for an experienced web scraping expert to scrape approximately 40,000 records from a website. Important: This is not a simple scraping task. After approximately 5–10 attempts, Google CAPTCHA appears and blocks further access. Scraping can continue only after the CAPTCHA is resolved, allowing more data to be accessed. Requirements: Scrape approximately 40,000 records. Handle Google CAPTCHA interruptions and website anti-bot restrictions appropriately. Extract the required data accurately and completely. Deliver the scraped data in Excel or CSV format. Ensure the scraping process is reliable and avoids duplicate records. Reference Video: Fixed Budget: ₹750 INR Please review the reference video carefully before bidding. Only bid if you have the necessary experien...

MARQUES Bentley, Aston Martin, McLaren, Land Rover, Rolls-Royce (genuine/original parts only). Supplier websites will be shared with shortlisted freelancers. Some may need a trade login, which we will provide. DATA REQUIRED PER PART - Part number/SKU exactly as shown (no Excel formatting errors, leading apostrophes or scientific notation) - Superseded/replacement part numbers - Title and full description - Category/sub-category - Price in GBP (retail and trade if shown), noting VAT - Stock status, lead time, obsolete/NLS flags - Weight and dimensions where available - All images at the highest resolution available - Source URL and date scraped CAR MODEL / FITMENT (ESSENTIAL) Every part must be linked to the car model(s) it fits. Please capture these as separate columns: - Marque (e.g. B...

I need a one-time extraction of contact details from a UK-based website. The pages are publicly accessible, but they sit behind basic pagination and a search filter, so the process may require a crawler that can navigate multiple result pages before harvesting the data. Please capture the following items and export them to a single, tidy Excel workbook (.xlsx): • Email addresses • Phone numbers (normalised to +44 format) • Postal addresses A clean header row, one record per line, and the removal of duplicates are essential. Basic validation—such as checking email syntax and trimming whitespace—will save me time later. I’m comfortable if you choose Python with BeautifulSoup, Scrapy, or Selenium, or another language you prefer, provided the result...

My master sheet has grown messy and I need it brought back under control right away. The file holds a mix of text and numeric fields, and two issues are slowing me down: • Duplicate rows must be identified and removed without losing any unique information. • Incorrect or obviously misplaced values need correcting so every column reflects accurate, consistent data. You can work in Excel or Google Sheets as long as the finished file is returned error-free and ready for immediate reporting. Speed is important—please take this on only if you can turn it around ASAP while maintaining absolute accuracy.

I need someone to help me gather and process textual data from various social media platforms. Ideal Skills: - Proficient in data entry - Familiar with major social media platforms - Good understanding of textual data processing Requirements: - Ability to source, extract and compile textual data from online resources - Attention to detail to ensure data accuracy - Capability to meet deadlines Please note, the data will solely be sourced from social media platforms, so experience with these is a plus.

I need a skilled developer to create a stock market prediction bot. The bot should focus solely on stock market predictions. Key Features: - Real-time updates: The bot must provide real-time stock market updates. - Historical data analysis: It should analyze historical data to inform predictions. Ideal Skills and Experience: - Experience in developing prediction algorithms - Proficiency in working with real-time data - Strong background in financial markets and historical data analysis - Familiarity with portfolio management is a plus Please provide examples of similar work done.

We are seeking experienced, efficient freelancers for business-contact list building, with the opportunity for ongoing assignments across several projects. The work involves identifying U.S. specialty contractors that match criteria we will provide privately to selected applicants. You should already have access to suitable databases and research tools, such as Apollo or similar platforms, Google, LinkedIn, business directories, and authorized scraping tools. We value quick turnaround, accurate targeting, and clean data. What we need: An organized Excel or CSV spreadsheet containing: • Company name and website • Business address, city, and state • Contact name and job title • Direct business email for the named contact We are seeking named business contacts rathe...

I’m building a fresh prospecting database and need verified contact details for companies in the finance sector that already generate at least US $10 million in annual revenue. All firms must be headquartered in Asia. Within each organisation I only want C-level decision makers (CEO, CFO, COO, CTO, CMO, etc.). Please research, validate, and deliver the leads in a clean spreadsheet. Typical fields should include: company name, country, latest reported revenue (with source link), executive name, exact title, corporate email, direct phone (if available), LinkedIn profile and company website. I’ll spot-check every record, so accuracy is critical—bounce-free emails and up-to-date titles are a must. Feel free to use LinkedIn Sales Navigator, ZoomInfo, Crunchbase, Apollo or co...

I’m sitting on large, messy numeric datasets and need them cleaned, engineered, and split so downstream models train smoothly. Your mission is to design a reproducible preprocessing pipeline: audit the raw CSVs, tackle missing or extreme values, scale or normalize where it counts, generate meaningful features, and output train/validation/test sets ready for model development. Python with pandas, NumPy, and scikit-learn is my default tech stack, but feel free to weave in any modern data-ops tricks—as long as the final workflow runs inside a Docker container that can drop into our CI pipeline. Deliverables • Clean, documented datasets (CSV or Parquet) • Version-controlled preprocessing scripts/notebooks • Dockerfile plus a concise README for one-command rep...

Looking to Hire someone for ongoing data collection work. The software will be provided to Find and match owners, their phone numbers and email IDs. Must have your own VPN !!

We are a startup seeking a practical, reliable, and low-cost cloud-based web scraping solution. ### 1. Current Situation Our previous PC-based Python system scraped 5,000 URLs with 18 XPath fields per URL in approximately four hours. It depends on local electricity, internet connectivity, and manual monitoring. Sample input/output spreadsheets and Python code are available. ### 2. Our Requirements 1. **High Performance:** Target 100,000+ URLs per run, extracting approximately 30 fields per URL in around one hour or less. Explain feasibility and realistic performance expectations. 2. **Cloud Automation:** No computer needs to remain switched on. Support scheduled runs twice daily, manual triggering, automatic retries, recovery, logs, and failure alerts. 3. **URL & XPath Management...

I need a fresh, well-structured database 100k or 500k freshe that lets me promote Nestlé across Western, Eastern and Northern Europe. The file should focus on companies operating in the Food and Beverage, Healthcare and Retail sectors so our campaigns reach decision-makers who already understand the value of strong consumer brands. Please compile the data in a single spreadsheet (Excel or CSV) and make sure every entry is GDPR-compliant. I rely on accurate, up-to-date contacts, so I will be checking random samples for validity before releasing final approval. Minimum information I will review: • Company name, country, city • Sector (Food & Beverage, Healthcare or Retail) • Contact person’s name and role • Direct email and phone number &bull...