Scraping Projects

Data Scraping

We are looking for a freelancer with experience in data extraction and web automation to collect a list of registered businesses from a Laravel-based platform that requires login. I have valid login credentials (my own account). The task includes: Logging in using provided credentials Accessing the authenticated business listing Handling pagination to retrieve all entries Exporting the data to CSV or Excel

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Facebook Groups Scraping

Hi there We are looking for a freelancer to scrape the details of people who are members of open groups on Facebook and are business owners, and then collect the information of their business via their personal Facebook profile links to their business page. Thanks

Data scraping needed

I have several directories I need to obtain contact information from... Can anyone help me? I will have all the sites for the person who will help!

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Extend Existing Scraper to Extract Emails from UK Property Sites

I’m looking for a developer to extend an existing web scraper to work with UK property listing websites in the vacation rental and group accommodation space. The current scraper already: visits websites follows contact pages extracts emails What’s needed is to: 1. Crawl property listing pages 2. Collect property website URLs 3. Reuse the existing email extraction logic on those sites This is an extension of an existing codebase, not a new scraper from scratch. --- Required Skills Python web scraping experience Ability to work with an existing codebase Browser automation for JS-heavy pages Clean, repeatable scraping logic --- Data to Extract Property name or listing title Website URL Email address Phone number (optional) Location (optional) --- Target Niches Holiday lets Vacation houses Group accommodation Large holiday homes --- Expected Notes Not all properties will list emails Some sites use contact forms Output varies by website --- Deliverables Extended scraper using existing code Instructions to run it Clean output (Google Sheets or CSV) --- Notes Repository will be shared after scope is agreed No form submissions No private or gated data

Quick Python Data Scraping Task (1 Hour)

I need to quickly extract structured data from a public webpage and export it to a CSV file. Scope is intentionally small and limited to a single page. Deliverables: Python script CSV output Brief explanation of approach Budget: €30 Duration: ~1 hour

opportunityurgent

Webscaper / searcher

I collect a fountainpens and there are many sites on the internet that sell them. i need an intelligent webscraper / internet crawler that gathers all the listings into a system for me which i can access via simple web interface. i can provide a list of known sites i need to scrape (these include all of the vinted sites as well as global craigslists, FB Market place, ebay as well as various other niche sites) the system should have a daily as well as 3 day archive so that it refreshes at 00:00CET every day and scans for new listings every few hours or at least twice a day. the system needs to remove duplicate listings as well as those listings which are historic and sold this needs to be completed in a couple of days.

B2B research/Contact List Builder ( UHNW)

I’m looking for a detail-oriented researcher to build high-quality contact lists on LinkedIn and online databases. This is NOT sales, NOT messaging, NOT posting, NOT lead nurturing. Your only task is to: • identify the right companies • find the right decision-makers • deliver clean, verified contact lists Scope of work: • Research and compile contacts from: • family offices • luxury concierge firms • yacht management companies • private aviation operators • UHNW PA / EA agencies • Identify: • decision-maker name • role/title • company • business email Requirements (non-negotiable): • Proven experience in B2B research or list building • Comfortable using: • LinkedIn (Sales Navigator is a plus) • company websites • Google • Accuracy > speed • No guessing, no scraping garbage lists Deliverables: • 80- 100 verified contacts per batch • Focus on Europe + Middle East (Monaco, Switzerland, UK, UAE)

Web Scraping: Nursery Managers Contact List South East London

I am looking for a lead generation specialist to scrape a clean, verified list of Nursery Managers and Early Years Providers in South East London and North Kent. Target Areas: Bromley, Lewisham, Croydon, Catford, Chislehurst, Orpington, Thornton Heath, Sidcup, Mottingham, and Eltham. Data Fields Required (CSV/Excel format): Nursery/Setting Name Manager Name (Must be the specific name, not just "The Manager") Business Email Address (Verified) Website Ofsted Rating: Telephone Number( verified ) Full Postal Address (including Postcode) Source Material: The primary source should be the Ofsted / PHP Directory and Google Maps/Business listings to ensure the data is current for 2026. Budget & Timeline: I am looking for this to be completed within 48-72 hours. Please bid your best fixed price for the total list. VERY IMPORTANT : Please confirm in your proposal that you can verify the emails to ensure a low bounce rate. Verification is essential !!! Make sure you use a tool like "ZeroBounce" or similar. I don't want to upload 1000 emails to my new GoHighLevel account for only for 500 of them to "bounce"!!

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We are preparing to build a Data Center Construction Intelligence Platform. Before development begins, we need an initial, authoritative dataset covering previously built and currently active data center construction projects in the U.S. This dataset will be the foundation of a platform that is designed to update monthly over time. This role is research and data structuring only — no application development, no scraping tools, and no automation required. Data Sources (Representative, Not Exhaustive) Research should be based on reputable industry sources, such as: BuilderConnected Dodge Construction Network CRANE Construction Intelligence Public owner / developer disclosures Industry reports and trade publications Publicly available permitting and project announcements ⚠️ Important: You are not required to have paid access to all platforms. We are looking for structured summaries and metadata, not proprietary dumps. Scope of Work 1️⃣ Data Center Project Inventory Compile structured information on: Previously built data centers Currently active / under-construction data centers Where available, capture: Location (city, state) Project status (completed / active) Facility type (enterprise, hyperscale, colocation, edge, etc.) Approximate scale (high-level) General delivery model (design-build, CM, etc.) 2️⃣ Construction Systems & Assemblies (Project-Informed) Using real-world project data, organize: Structural systems Electrical & power infrastructure Mechanical / cooling strategies Fire protection approaches Low-voltage & networking considerations Focus on patterns and common approaches, not engineering drawings. 3️⃣ Tier-Level & Redundancy Context (High Level) Where identifiable, note: Tier I–IV alignment (if stated or implied) Redundancy concepts (N, N+1, 2N, etc.) How redundancy impacts construction scope This should remain descriptive, not technical design. 4️⃣ Cost & Schedule Drivers (Qualitative) Based on project patterns, identify: Primary cost drivers Schedule risk factors Regional labor/material sensitivity Supply chain and lead-time influences No exact pricing required. 5️⃣ Structured, App-Ready Data Format (Critical) All information must be delivered in structured spreadsheet format, with clearly defined columns such as: project_name location project_status facility_type system_category assembly_or_component tier_or_redundancy_level primary_cost_drivers schedule_risk_factors data_source notes This dataset will later feed an application and AI system. Deliverables You must provide: Google Sheets or Excel file(s) Clean, consistent structure and naming CSV export Short summary document explaining: Data sources used Assumptions and limitations Recommendations for monthly updates No PDFs. No slide decks. No scraped raw dumps. Ongoing Monthly Updates (Future Work) After the initial dataset is delivered, we plan to: Update the dataset monthly Add newly announced or completed projects Refine patterns as the dataset grows Please indicate in your proposal: Whether you are open to a monthly update engagement Your estimated monthly fee range for ongoing updates Ideal Candidate Experience with construction, infrastructure, or industrial research Familiarity with construction intelligence platforms or trade data Strong data organization skills Methodical, detail-oriented approach Comfortable citing and tracking data sources Screening Question (Required) How would you gather and structure authoritative construction project data so it can be updated monthly and later used in an application or AI system? Generic responses will not be considered.Selection Criteria We will prioritize candidates who: Demonstrate structured thinking Understand construction project data Respect data-source boundaries and licensing Clearly explain how they will organize and maintain the dataset

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Hotel Partnership Lead List Builder

Hi! I’m looking for a detail-oriented researcher to build a clean, accurate contact list for London boutique hotels (3–5 star) for partnership outreach. Important: This is NOT scraping. I only want publicly available contact details that are clearly listed on official websites or reputable business listings. Scope Build a list of 300 London boutique hotels (3–5★). For each hotel, collect: Hotel name Area / neighborhood Website URL Best public contact method (priority order): Partnerships / Sales / Groups email Reservations / Front desk email If no email: contact form URL Source URL where the email/contact info is shown Notes (optional): “email hidden”, “contact form only”, “group sales available”, etc. Deliverable CSV or Google Sheet with columns: Hotel | Area | Star Rating (if available) | Website | Email | Contact Form | Source URL | Notes Quality rules Every email must have a source link. No guessing, no “info@” if it’s not shown publicly. Deduplicate entries, consistent formatting, and double-check spelling. Bonus (nice to have) Add decision-maker contacts if publicly listed (Sales Manager / Events / Partnerships). Tag hotels by type (boutique, design, luxury, townhouse, etc.). To apply, please include A short note on how you’ll find/verify contacts. 3 sample rows in the exact spreadsheet format. Your estimated timeline and total price for 300 entries. Thanks!

Outbound Sales Development Representative (B2B) Part-Time Remote

Industry: Industrial & Consumer Gases (Helium & CO₂) Products: Disposable helium cylinders for balloon inflation + CO₂ cylinders for soda systems Markets: UK, Germany, France, Spain, USA Deal Size: €2,000 – €20,000 per order Schedule: 3 days per week (part-time, long-term) ⸻ About the Role We are looking for an experienced Outbound Sales Development Representative (SDR) to support our Sales Director and sales team by identifying, contacting, and qualifying new B2B prospects. This is a high-quality, relationship-focused outbound role, not high-volume spam. You will use LinkedIn Sales Navigator and selective follow-ups via WhatsApp and telephone to initiate conversations and pass qualified, interested leads to our English-speaking sales team (Jade & Ali). ⸻ Your Responsibilities Prospecting & Targeting • Build targeted prospect lists using LinkedIn Sales Navigator • Identify decision-makers in relevant B2B segments (events, retail, wholesale, hospitality, distributors, etc.) • Focus on quality and relevance over volume Outbound Outreach • Send personalised LinkedIn connection requests and first messages • Conduct structured follow-ups (LinkedIn → WhatsApp → phone where appropriate) • Communicate professionally and in line with brand guidelines Lead Qualification & Handover • Engage prospects and identify genuine interest • Capture context, needs, and next steps • Pass warm conversations to the Sales Director / Sales Team in English • Maintain clear tracking of outreach and responses ⸻ Ideal Candidate Profile Required • Proven experience as a B2B SDR / Lead Generation Specialist • Hands-on experience with LinkedIn Sales Navigator • Excellent written English • Comfortable with cold outreach (LinkedIn, WhatsApp, calls) • Organised, process-driven, and reliable • Understands professional outreach vs spam Nice to Have • Ability to message in German, French, or Spanish • Experience in industrial, consumer goods, gas, or technical products • Familiarity with multi-channel outbound strategies ⸻ What This Role Is NOT • Not social media management • Not mass automation or scraping • Not high-volume copy-paste outreach • Not closing sales (handover to Sales Team) ⸻ Tools Provided • LinkedIn Sales Navigator • Approved messaging templates & outreach framework • Shared CRM / tracking sheet • WhatsApp Business (web access) ⸻ KPIs (Weekly – 3 Days) • Quality connections sent & accepted • Meaningful replies • Qualified conversations handed to Sales Team ⸻ Compensation • Hourly or fixed monthly retainer (based on experience) • Long-term opportunity for the right person • Performance-based increases possible ⸻ How to Apply Please include: 1. Brief summary of relevant SDR / lead generation experience 2. Confirmation of Sales Navigator experience 3. Languages you can outreach in 4. One short example of a LinkedIn opening message you would use