数据抓取 Jobs

I need a fresh database of 30,000 Australian CEOs, fully verified so that every record is ready for outreach the moment I receive it. For each CEO I must have two data points only: • The direct email address (bounced emails are unacceptable) • The current company name No industry limits; I want full national coverage, from major cities to the most remote regions, as long as the individual truly holds the Chief Executive Officer title in an Australia-based business. Accuracy matters more than speed. Please clean and confirm every email (ZeroBounce, NeverBounce or a similar service is fine) and remove duplicates before delivery. The final file should arrive in a single CSV or Excel sheet with clear column headers. I will sample-test the list on delivery; if the hard-bounce...

I’m launching a large-scale outreach campaign and require a database of one million up-to-date leads specifically from small businesses. I’m flexible on geography and sector, but every record must be real, current, and ready for cold-email or phone contact. Please source the data ethically—LinkedIn, public directories, web scraping, or reputable data providers are all acceptable as long as the final list is freshly verified. Automation is fine; what matters is accuracy and scale. Duplicate suppression, spam-trap removal, and basic enrichment (company size, website, and primary contact role) should already be handled on your end before delivery. Deliverables (CSV or XLSX): • 1,000,000 unique small-business records • Fields: business name, contact name, role/t...

I have an up-to-date list of stores that we already supply to, but the details on my end are incomplete. I need you to go through Supplier A website and pull every location’s name, full street address, opening hours, as well as its exact longitude and latitude. Once gathered, enter everything neatly into my existing spreadsheet so the data can be dropped straight into our “Find a Store” feature. Accuracy is crucial because the coordinates will feed our map and the hours will appear on the store profile pages. Deliverables: • One spreadsheet (Excel or Google Sheets) containing:  – Store name  – Street address (with city, state, postcode)  – Opening hours in a clear format (e.g., “Mon-Fri 9 am-6 pm”)  &n...

I need an experienced web scraping developer to extract the complete public Hacker Database from SoldierX.com. Pages to scrape: Also scrape every individual profile/subpage linked from these index pages. Required fields: Handle/Name, Profile URL, IRL Name, Tags, Full Biography, Facts, Rumors, References, Images/Image Links, Picture Count. Output: Excel/CSV, fully editable. The site may have Cloudflare/ASN restrictions, so please test access before bidding. Public data only; no login/private data required. Important: I will share a sample file showing the exact required format and fields. Please follow that sample exactly. Please bid only if you can test the website and confirm you can extract the full dataset.

I’m assembling a detailed Excel database of ship-owning companies and need reliable, up-to-date information gathered either from your own network or by scraping industry sources such as Equasis and China Shipbuild. Every row in the sheet must include: • Shipowner name • Primary email and phone number • Number of vessels in fleet • Vessel size range and type • Person in Charge contact • Chartering contact • Sale & Purchase contact Accuracy is essential, especially for the three specific contacts listed above, so please cross-check each entry before delivery. If you already possess part of this data, feel free to combine it with new findings from the public databases mentioned. The finished deliverable is a clean, well-struc...

Scraping data for b2b marketing. The database must comprise Founders / Co-Founders / Managing Directors / CEOs, Strategy Managers, Strategic Management Directors and all those responsible for strategy, strategic planning and strategic visions of organisations- 60 000 contacts wanted across all industries and from South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria. All contacts must be active, true corporate/work email addresses with a minimum 95%+ deliverability rate. Generic or personal emails (e.g., @, @, @) will not be accepted. Quality & Verification Requirements: Deliverability Guarantee: Minimum 95% valid, deliverable work emails. Zero Spam Traps / Hard Bounces: All emails must be dynamically validated via real-time SMTP/MX ping checks (using to...

I need a detailed, up-to-date database of every household cleaning-liquid manufacturer operating in India. My company produces detergent raw materials—specifically thickeners for liquids—and our sales team will use your list to approach the right people, so accuracy matters more than sheer volume. The file should cover each manufacturer’s registered name, plant or head-office address, phone number, general and purchasing-department emails, website (if any), and the names and titles of decision makers you can locate. If you uncover extra insights such as product lines or regional distributors, include them, but contact details remain the priority. Please gather the data from reliable sources (industry directories, trade associations, Ministry of Corporate Affairs filings...

I need a verified database of 30,000 companies operating in the oil & gas, investment, and manufacturing sectors across the UAE, Singapore, Hong Kong, and India. The file must include two reliable contact channels for each company: a working email address and a direct phone number. Accuracy is critical—bounce-free emails, current numbers, no duplicates, and correct country assignment. Sources, scraping tools, or platforms you prefer are fine as long as the data stands up to random spot-checks. Deliverables • CSV or Excel file containing: Company Name, Sector, Country/City, Email, Phone. • A brief note on the collection method and any verification steps taken. Completion is confirmed once a random 5% sample shows less than 5% invalid contacts.

I need a clean, reliable dataset of official finish times for every horse race run in the United Kingdom and Ireland. The focus is solely on race results—no individual horse performance statistics or jockey information—so the task is well-defined and compact. Scope • Source or scrape each race’s official finish time, past and ongoing. • Provide the time strictly in MM:SS format (for example, 03:45). • Include enough basic identifiers—meeting name, date, course, race number—to keep each entry unique and traceable. Deliverable A single CSV (or Excel) file containing one row per race with the columns: Meeting, Date, Course, Race ID, Finish Time (MM:SS). Acceptance criteria • 100 % of entries parse correctly as MM:SS. • Rand...

I’m looking for a data-savvy freelancer who can pull 500 fresh, verifiable leads from Google Maps across the United States. The focus is strictly on small Home Improvement service businesses that first opened their doors between 2020 and 2026 and are still operating today. Scope of work • Source businesses via Google Maps only. • Capture these fields for each lead: Business name, full address, contact email, direct phone number, year founded/opened (must fall within 2020-2026), and a live Google Maps link. • Ensure each business is currently active and falls under the Home Improvement services umbrella (for example: remodelers, handyman companies, roofing, electrical, plumbing, painting, landscaping, etc.). • Remove duplicates, closed listings, P.O. box a...

I need a clean CSV extracted from LinkedIn that lists current employees at a single target company who hold Sourcing-related titles. For every profile you capture, include only the essentials: • Full name exactly as it appears on LinkedIn • Total time they have worked at the company (years and months) • Current job title • Location shown on their profile No narrative role descriptions are required—just the four data points above, one row per person. Please use any reliable method you prefer (Python + Selenium, Phantombuster, Sales Navigator export, etc.) provided you comply with LinkedIn’s terms of service and the final file is delivered as a UTF-8 CSV ready for upload to Google Sheets. I will verify by spot-checking at least 10 random entrie...

We are looking for an experienced U.S. B2B Sales / Business Development Specialist who can identify, approach, negotiate with, and successfully establish working partnerships with U.S. businesses that have high-volume or recurring hiring needs. This is NOT a contact-list, data-collection, or basic lead-generation project. We are not looking for someone to simply provide company names, email addresses, phone numbers, LinkedIn profiles, job postings, or spreadsheets. Our objective is to acquire real U.S. business clients who have genuine hiring requirements and are willing to work with our staffing/recruitment company. Main Objective Find → Approach → Communicate → Understand Hiring Needs → Negotiate → Close → Establish Business Partnership The successful ...

I have a list of 250 companies and need 3 contacts for each company, with each contact having a different job title. For every contact, you need to find the full name, job title, professional email address, and LinkedIn profile URL. The total requirement is approximately 750 contacts across 250 company lines. I will provide a Google Spreadsheet, and you must work directly on it so I can track your progress in real time. The required contact information is easily available online, so I need someone who can research quickly and accurately. Please ensure there are no duplicate contacts and that the names, email addresses, job titles, and LinkedIn profiles match correctly. The payment is fixed at ₹3 per completed line, making the total budget ₹750 for 250 lines. The entire project must be comp...

I’m working with a large collection of numeric datasets stored in CSV files and need them professionally cleaned so they’re ready for downstream reporting and analysis. The files contain only numbers—no text labels beyond the headers—yet they still suffer from common issues such as stray characters, inconsistent decimal formatting, empty rows, and duplicate records. Your job is to open each CSV, identify and correct every inconsistency, and return a set of error-free files that preserve the original column structure. Alongside the cleaned data, include a brief change log that lists what was fixed (e.g., “removed 27 duplicate rows in ”, “standardised thousand separators”, etc.) so the transformation is fully transparent. Deliverables &bu...

I want a steady stream of great-value used-car opportunities from across the UK. Price is the single most important metric for me, so every lead must clearly beat the prevailing market average while still passing the usual provenance checks (HPI clear, service history, no outstanding finance, etc.). The research should cover public ads (AutoTrader, Gumtree, Facebook Marketplace), trade platforms, dealer networks, and auction listings such as BCA or Manheim. Feel free to leverage price-tracking tools, market value guides like CAP, or any data scraping workflow you already use; what matters is quickly spotting cars that are genuinely under-priced and worth a closer look. Deliver the findings in a simple spreadsheet or shared online sheet with: • URL or auction lot number • Ma...

I need help transferring a set of mixed numerical-and-text records from an online database into a structured Excel workbook. Before anything is pasted, each record has to be checked for obvious inconsistencies, trimmed of stray spaces, and reformatted where required so that the final sheet is clean, sortable, and ready for immediate analysis. You will receive the database URL, filter criteria, and the target workbook template. Work happens directly in Excel—feel free to use functions, Flash Fill, Power Query, or any other built-in feature that speeds up accurate entry and validation, as long as formulas are left intact for me to review later. Deliverables • Completed Excel file with all records correctly placed in their respective columns • A brief log noting every corr...