Data Scraping Projects on Vollna

I need someone to find Facebook car show events and organizer pages.

Task:

* Search Facebook for:
“car show”
“lowrider show”
“classic car show”
* Click on EVENTS
* Find shows happening in the next 1–3 months

For each event, collect:

1. Event link
2. Organizer name
3. Organizer Facebook profile/page link
4. Location (city/state)

Put everything into a Google Sheet.

Goal:
Find 300+ real upcoming events

IMPORTANT:

* No past events
* No duplicates
* Must follow instructions exactly

To apply:
Start your message with the word: “CAR SHOW”
(This helps me filter applicants)

Budget: $50 fixed
Deadline: 2 days

We are seeking a skilled B2B lead generation specialist to identify and engage potential clients for our business. The ideal candidate will have experience in telemarketing, B2B marketing, and cold calling to effectively generate leads. Responsibilities include researching potential clients, making outbound calls, and maintaining a database of leads. The goal is to increase our client base and drive business growth.

We are seeking a detail-oriented freelancer to gather contact information for education/academic heads from MLS Youth Clubs, MLS Next, MLS Next Pro, and ECNL Youth teams across the U.S. The ideal candidate will be responsible for compiling a list that includes names of team, name of director of education/education liaison, emails, and job titles of these key individuals. The contacts must pertain to the individuals that are in charge of the day to day academic operations of the soccer clubs and must have a clear title relating to "education" or "academic head". These contacts should be on an excel spreadsheet. Again, these contacts should only pertain to youth soccer teams (U13's - U17's), not professional soccer. Strong research skills and attention to detail are essential for accuracy and completeness. If you are experienced in data collection and have a passion for youth sports, we would love to hear from you!

To Help, you can start with the contacts of these teams/clubs:
1. https://www.mlssoccer.com/mlsnext/standings/academy_division/
2. https://www.mlsnextpro.com/clubs/
3. https://www.mlssoccer.com/mlsnext/academy-divison/ (all the youth club teams at the bottom).
4. https://girlsacademyleague.com/aspire-membership/
5. https://theecnl.com/sports/directory (All the academic liaisons contact for all the ECNL teams both boys and girls)

**Overview**

I'm building a platform that connects hosts with event vendors in Dubai. I need a reliable freelancer to research and compile a clean, structured list of event-related vendors and freelancers operating in Dubai, UAE.

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**What I Need**

A spreadsheet (Excel or Google Sheets) with the following vendor categories:

- Birthday party decorators
- Caterers / home chefs / tiffin services
- Photographers & videographers
- Cake makers / bakers
- Henna artists
- Event entertainers / MCs
- Party supply rental (furniture, tents, props)
- Kids entertainers (clowns, face painters, balloon artists)

**Target:** 50–100 vendors per category (approx. 400–600 total records)

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**Data Fields Required (per vendor)**

- Business / Freelancer Name
- Category
- Phone Number (WhatsApp preferred)
- Instagram Handle (if available)
- Website (if available)
- Google Maps Rating & No. of Reviews
- Area / Neighborhood in Dubai
- Notes (e.g. home-based, freelance, agency)

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**Sources to Use**

- Google Maps
- Instagram (hashtag search: #dubaipartyplanner, #dubaicaterer, #dubaiphotographer, etc.)
- Dubizzle.com
- yellowpages.ae

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**Deliverable**

- One clean Excel / Google Sheet with all data organized by category
- No duplicates
- All phone numbers in international format (+971...)
- Submitted within 5–7 days

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**Budget:** Fixed price — open to proposals (expected range: $30–$80)

**Experience Required:**
- Prior data research or lead generation work
- Familiarity with UAE market preferred
- Please share a sample of similar work done before

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*To apply, please confirm which categories you can cover and share an example of a similar data list you've compiled previously.*

Looking for a developer to build an AI agent that qualifies real estate leads across WhatsApp, SMS, and web chat. The bot must sound human, ask one question at a time, collect key data, suggest properties, and sync everything with GoHighLevel CRM.

Need experience with LLMs (GPT/Claude), CRM integrations, and chatbot platforms or custom builds.

I need a list of companies and contacts attending the IFA Annual Factoring Conference (Nashville, TN, USA May 6–8, 2026). This is a specialty finance industry event.

Deliverable: a spreadsheet with Company Name, First Name, Last Name, Title, LinkedIn URL, Email (where findable). Target 150–300 contacts.

Sources to use: LinkedIn post search for people announcing attendance, company press releases and blog posts announcing exhibiting or attendance, LinkedIn event pages if available, public IFA member and sponsor information, Google search combinations to find announcement posts, etc.

Timeline: 48 hours maximum. I need this before May 5.

Please share examples of similar lead research projects you've completed.

📌 APPLICATION FORMAT (STRICT REQUIREMENT)
To be considered:

Start your proposal with: DATA-HUNTER-OPS

First line must list your current B2B data stack
You must answer ALL screening questions at the end.

Any deviation = automatic rejection

🚫 NON-NEGOTIABLE REQUIREMENTS
NO AGENCIES. INDIVIDUAL OPERATORS ONLY.

No teams, subcontractors, or outsourcing
No entry-level researchers or VA-style applicants
No ChatGPT-only / AI-generated responses without real operational experience
Must have hands-on experience with B2B data systems (not theoretical)

OVERVIEW

We are hiring a senior-level B2B data intelligence operator to support an ongoing healthcare data enrichment and entity resolution pipeline.

This is a recurring weekly production system, not a one-off research task.

The objective is to generate structured, validated datasets of medical practices across defined U.S. markets with accurate entity-to-owner resolution (physician/practice level).

This role is strictly execution-focused within a structured data pipeline environment.

WORK SCOPE (PIPELINE EXECUTION)
You will operate a repeatable enrichment workflow:

1. Entity Discovery

Identify medical practices within defined specialty + geography constraints
Apply firmographic filters based on scale/qualification criteria

2. Entity Resolution

Map practice → correct physician / owner
Resolve ambiguous or duplicate identities across sources

3. Multi-Source Enrichment

Enrich records using B2B intelligence platforms
Cross-reference multiple datasets for validation

4. Data Validation Layer

Resolve conflicting or incomplete records
Confirm identity consistency across systems

5. Output Structuring

Normalize, deduplicate, and structure dataset outputs

Deliver consistent schema across all records

OUTPUT REQUIREMENTS (PER RECORD)
Each record must include:

Practice / Business Name
Specialty Classification
City / State
Primary Owner / Lead Physician (resolved entity)
Professional business contact data (from compliant enrichment sources)
Website / domain association
Optional firmographic indicators (scale, footprint, operational size)

All outputs must be:

normalized
deduplicated
schema-consistent
high-confidence validated

REQUIRED TOOLING EXPERIENCE

You must already actively operate within a multi-layer B2B data stack:

🔹 Intelligence / Enrichment Platforms

ZoomInfo
Apollo.io
LinkedIn Sales Navigator
Seamless.AI
Lusha
RocketReach
Clearbit
People Data Labs

🔹 Workflow / Automation Layer

Clay (or equivalent enrichment orchestration tools)
API-based enrichment pipelines
Data automation workflows

🔹 Verification / Source Layer

Google Maps / Places API
Healthcare provider directories / licensing databases
Company websites and domain-level validation
Public record systems

🔹 Data Processing Layer

Advanced Excel / Google Sheets
SQL-based structuring (preferred)
Airtable / CRM schema systems

CORE SKILL REQUIREMENT

Advanced multi-source entity resolution (identity stitching across noisy datasets)

You must be able to:

Match individuals to correct business entities under ambiguity

Resolve duplicate or conflicting identity records
Validate across multiple independent data sources

Apply deterministic or high-confidence probabilistic matching

Prevent misattribution across datasets
Maintain consistency across large-scale enrichment workflows

ENGAGEMENT MODEL

Weekly recurring dataset delivery
Multi-batch structured outputs per cycle
Long-term operational engagement
Repeatable pipeline execution across multiple vertical slices

SUCCESS CRITERIA

High-accuracy entity-to-owner mapping
Zero or near-zero duplication
Consistent schema integrity across all datasets
Reliable weekly delivery cadence
Scalable repeatable workflow execution

💰 COMPENSATION

Paid per deliverable batch
Ongoing weekly production work
Long-term engagement for high-performing operators

🔎 SCREENING QUESTIONS (REQUIRED – ANSWER ALL 4)

1. FULL STACK ARCHITECTURE
Describe your end-to-end B2B data stack:
data sourcing layer
enrichment layer
validation layer
output structuring layer
Include tools + workflow logic.




2. ENTITY RESOLUTION METHODOLOGY
Explain your step-by-step process for resolving:
duplicate individuals across datasets
conflicting identity records
incomplete or ambiguous business-to-person mappings
What signals determine final correctness?




3. DATA STITCHING / CROSS-SOURCE VALIDATION
How do you connect and validate:
business → owner relationships
inconsistent or missing data across platforms
identity conflicts between sources
Describe your reconciliation logic.



4. QUALITY ASSURANCE SYSTEM
Before final delivery, what QA process do you run for:
deduplication
identity accuracy
dataset consistency
confidence validation thresholds

FINAL REQUIREMENTS

Must begin with: DATA-HUNTER-OPS

Independent operators only (NO agencies or teams)

Must have real-world B2B data intelligence experience

No generic, AI-generated, or non-operational responses will be considered

Only experienced data operators should apply

Hello!

Hey, I’m looking for high quality opportunity seeker leads, not scraped data.

Can you confirm:

How the leads are generated
If they are recent (within the last few days)
If they are shared or exclusive
What percentage are US-based

How many leads for $30USD?

If it’s a good fit I’ll start with a test order and scale.

My ideal lead:
Your ideal client is someone who is already working hard and doing well but feels capped on time and income, like a nurse, teacher, small business owner, or busy mom who is juggling a lot and knows they are capable of more. They are typically well connected, trusted in their circles, and open to new opportunities that create flexibility without starting from scratch. They are not looking for just travel discounts or another job, they are looking for a scalable online business in travel that gives them leverage, residual income, and the ability to build something long term. The best ones are already thinking about making money online or creating additional income, so they are open, coachable, and ready to move when they see the right system. USA Based

We are seeking a motivated and skilled Lead Generation Specialist to help our business identify and acquire new leads. Your role will involve researching potential clients, reaching out through various channels, and nurturing relationships to convert leads into customers. The ideal candidate should be proactive, results-driven, and have a knack for communication. If you have experience in lead generation and a proven track record of success, we would love to hear from you!

• Describe your recent experience with similar projects
• How do you approach difficult conversations with customers?

We are seeking a skilled freelancer to web scrape our chess opening courses and create Portable Game Notation (PGN) files. The ideal candidate will be responsible for organizing the PGN files by specific openings and variants, such as the French Defense. This project requires attention to detail and a solid understanding of chess terminology and notation. If you are passionate about chess and have experience in web scraping, we would love to hear from you.

Hi there,

We are hiring a senior-level data engineer / automation specialist to design and implement scalable data pipelines for structured business intelligence workflows.

This role is for experienced professionals who have built production-level data systems, not assistants or entry-level researchers.

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🚫 This is NOT a beginner role

We are only considering candidates who:

- Have built automated data pipelines in production environments
- Have experience working with APIs and large structured datasets
- Can design end-to-end workflows without supervision

If you are learning, experimenting, or using basic no-code tools only, please do not apply.

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🧠 Project Overview

You will design and implement an automated system that can:

- Ingest structured business datasets from approved public and licensed sources
- Apply filtering logic to segment and qualify business records based on defined criteria
- Normalize, clean, and structure large datasets at scale
- Enrich business records using third-party data enrichment APIs
- Perform entity resolution across multiple datasets (matching and consolidating records)
- Output structured datasets suitable for CRM and outreach systems

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📊 Example System Requirements

The system should be capable of processing:

- Large datasets (hundreds to thousands of records per run)
- Multi-criteria filtering logic (category, rating signals, review volume, etc. where available)
- Business data segmentation and scoring
- Consistent structured output formatting

---

🧰 Required Technical Experience

Data Engineering:

- Python (pandas, automation, API scripting)
- SQL and database systems
- ETL pipeline design and implementation
- Data cleaning, normalization, and transformation

Data Integration:

- REST API integrations
- Working with structured and semi-structured datasets
- External data source aggregation

Enrichment & Intelligence Systems:

- Data enrichment platforms (Apollo, Clearbit, Crunchbase, or equivalent)
- Entity resolution / record matching techniques
- Deduplication and data validation systems

Automation / Workflows:

- Airflow, Make, Zapier, or custom pipelines
- Scalable data processing systems

---

📦 Deliverables

- Clean, structured datasets (CSV or Google Sheets)
- Consistent schema across all outputs
- Documented workflow / system design
- Repeatable pipeline for ongoing dataset generation

---

📅 Engagement

- Long-term ongoing work
- Weekly structured data delivery
- Scalable over time

---

🧪 Application Requirement

Start your application with:

DATA PIPELINE EXPERT

Applications without this will not be reviewed.

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❓ Screening Questions

1. Describe a full data pipeline you have built end-to-end.


2. What enrichment APIs or data platforms have you used?


3. How do you handle entity matching and duplicate resolution?


4. What is your experience processing large datasets at scale?

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Looking forward to your response.

We have two freelance openings for a long-term TikTok data collection project. The single most critical requirement: you must already have access to the U.S. TikTok platform—this is serious. The daily task involves swiping the For You Page and logging creator names into a database. While we’ll begin at about two hours a day, if you’re serious and deliver great results, we’re willing to scale up to 6–8 paid hours per day. There’s real earning potential here if you’re committed!

We are looking for a reliable and detail oriented person to help us build accurate contact lists. Your main task will be to research and collect information such as names, email addresses, phone numbers, and company details from online sources.

We are landscape construction company based in Southern California. We are looking for a lead generation specialist or virtual assistant who can use AI tools, automation, web research, APIs, and public online directories to build a large contact list of potential referral partners.

SEND ME YOUR PRICE FOR THE TOTAL PROJECT. Please read carefully I am asking for 500-1000 PER category

This is a high-volume lead research project, not a slow manual verification project.

We do not need every lead manually verified. The goal is to collect publicly available business contact information quickly, organize it clearly, and cross-reference multiple sources when possible so we have a strong contact list for calling, emailing, and texting.

We are looking for someone who can work efficiently using tools such as:

• ChatGPT
• Claude
• Google search operators
• Google Maps scraping tools
• Apify or similar web automation tools
• Public directory research
• AI-assisted data extraction
• APIs or automation tools
• Excel or Google Sheets cleanup tools

The final deliverable should be a clean, easy-to-read Excel or Google Sheets file.

Goal of the Project

We want to build a large contact list of professionals and companies who may refer landscape construction, hardscape, grading, drainage, outdoor living, retaining wall, irrigation, and exterior improvement projects.

The list should include:

• Landscape Designers
• Landscape Architects
• General Contractors / Custom Home Builders
• Property Managers / HOA Managers
• Interior Designers
• Real Estate Agents
• Civil Engineers
• Structural Engineers
• Estate Managers / Private Residence Managers

The key to the job is to gather as much publicly available contact information as possible from multiple online sources and organize it into one clean spreadsheet.

If the same company appears on multiple sources, the information should be combined into one row when possible.

Target Locations

Please focus on Southern California, especially:

Santa Barbara Area
Santa Barbara: 93101, 93103, 93105, 93108, 93109, 93110, 93111

Ventura County Area
Ventura: 93001, 93003, 93004
Oxnard: 93030, 93033, 93035, 93036
Port Hueneme: 93041
Camarillo: 93010, 93012
Somis: 93066
Santa Paula: 93060
Fillmore: 93015
Piru: 93040
Ojai: 93023
Oak View: 93022
Moorpark: 93021
Simi Valley: 93063, 93065
Thousand Oaks: 91320, 91360, 91361, 91362
Newbury Park: 91320
Westlake Village: 91361, 91362
Lake Sherwood: 91361
Oak Park: 91377
Agoura Hills: 91301
Agoura: 91301
Cornell: 91301
Hidden Valley: 91361
Santa Rosa Valley: 93012

Calabasas / Conejo / Santa Monica Mountains Area
Calabasas: 91302
Hidden Hills: 91302
Bell Canyon: 91307
Woodland Hills: 91364, 91367
West Hills: 91304, 91307
Canoga Park: 91303, 91304
Chatsworth: 91311
Topanga: 90290
Malibu: 90265
Pacific Palisades: 90272

San Fernando Valley / LA Area Toward West Hollywood
Encino: 91316, 91436
Tarzana: 91335, 91356
Reseda: 91335
Northridge: 91324, 91325, 91330
Granada Hills: 91344
Porter Ranch: 91326
Sherman Oaks: 91403, 91423
Studio City: 91604
Valley Village: 91607
North Hollywood: 91601, 91602, 91605, 91606
Burbank: 91501, 91502, 91504, 91505, 91506
Universal City: 91608
Hollywood Hills: 90068
Hollywood: 90028, 90038, 90046, 90068
Beverly Grove: 90048
Hancock Park: 90004, 90020, 90036
Beverly Hills: 90210, 90211, 90212
Bel Air: 90049, 90077
Brentwood: 90049
Westwood: 90024
Century City: 90067
West Hollywood: 90046, 90048, 90069

Industries and Sources to Research
1. Landscape Designers

Find landscape designers, garden designers, outdoor living designers, and residential landscape design firms.

Primary sources:

• Association of Professional Landscape Designers
• Houzz
• Google Maps
• Company websites
• LinkedIn, if publicly available

2. Landscape Architects

Find licensed landscape architects and landscape architecture firms.

Primary sources:

• ASLA FirmFinder
• California LATC license search
• Houzz
• Google Maps
• Company websites
• LinkedIn, if publicly available

3. General Contractors / Custom Home Builders

Find general contractors, custom home builders, luxury remodelers, and design-build firms.

Primary sources:

• BuildZoom
• Angi List / HomeAdvisor
• Google Maps
• Company websites
• LinkedIn, if publicly available
• CSLB license search, when available

4. Property Managers / HOA Managers

Find HOA management companies, property management companies, commercial property managers, community association managers, and residential property managers.

Primary sources:

• CACM Management Company Directory
• CAI — Community Associations Institute
• IREM Directory
• HOA Management Directory
• Google Maps
• Company websites
• LinkedIn, if publicly available

5. Interior Designers

Find luxury interior designers, residential interior designers, interior design firms, indoor-outdoor living designers, and boutique design studios.

Primary sources:

• ASID Design Finder
• Houzz
• Interior Design Society — IDS
• IIDA Southern California
• Google Maps
• Company websites
• LinkedIn, if publicly available

6. Real Estate Agents

Find luxury real estate agents, listing agents, buyer agents, brokers, and high-end residential agents.

Primary sources:

• Zillow Agent Finder
• Realtor.com
• The MLS
• Google Maps
• Brokerage websites
• LinkedIn, if publicly available

7. Civil Engineers

Find civil engineering firms, grading engineers, drainage engineers, land development engineers, stormwater engineers, and land surveying firms.

Primary sources:

• ACEC California Directory
• ASCE
• Google Maps
• Company websites
• LinkedIn, if publicly available
• California BPELSG license lookup, when available

8. Structural Engineers

Find residential structural engineers, retaining wall engineers, foundation engineers, hillside structural engineers, and outdoor structure engineers.

Primary sources:

• Google Maps
• Houzz
• BuildZoom
• Company websites
• LinkedIn, if publicly available
• California BPELSG license lookup, when available

9. Estate Managers / Private Residence Managers

Find estate managers, house managers, private residence managers, estate management companies, domestic staffing agencies, and private household service companies.

Primary sources:

• Estate Management Network
• Estate Managers Coalition
• Google Maps
• LinkedIn
• Estate management company websites
• Domestic staffing agency websites, when relevant

Required Information to Collect

For each lead, collect as much of the following information as publicly available:

• Company name
• Contact person name, if available
• First name, if available
• Last name, if available
• Job title / role, if available
• Industry category
• Company type
• Website
• Business phone number
• Business email address, if publicly listed
• Contact form URL
• Street address, if available
• City
• County
• State
• Zip code
• Service area, if available
• Source where the lead was found
• Source profile links
• Notes about business type

Spreadsheet Requirements

The final deliverable must be an easy-to-read Excel or Google Sheets file.

Please create separate tabs for each industry:

Landscape Designers
Landscape Architects
General Contractors
Property Managers / HOA Managers
Interior Designers
Real Estate Agents
Civil Engineers
Structural Engineers
Estate Managers
Master List

The Master List should combine all leads into one complete database.

Required Spreadsheet Columns

Please include these columns:

Lead ID
Industry Category
Company Name
Contact First Name
Contact Last Name
Full Name
Job Title
Company Type
Website
Business Email
Business Phone
Contact Form URL
Street Address
City
County
State
Zip Code
Service Area
Data Completeness Score: 1–5
Notes
Date Added

We understand not every lead will have every field available. That is okay.

The priority is:

1. Company name
2. Industry category
3. Phone number
4. Website
5. Email or contact form, if available
6. City / service area
7. Source URL

We do not require manual phone verification, email verification, or calling each business.

We only need publicly available business information organized into a clean spreadsheet.

Lead Quality Requirements

Please follow these basic quality standards:

• Use publicly available business information only
• Do not include irrelevant businesses
• Avoid obvious duplicates
• Combine duplicate companies into one row when easy to identify
• Do not spend excessive time manually verifying every lead
• Use AI, automation, APIs, and research tools to work efficiently
• Keep the spreadsheet clean, consistent, and easy to filter
• Add source links so we know where the information came from

Referral Potential Scoring

Please score every lead from 1 to 5:

5 = Company, website, phone, email/contact form, address/city, source link, and notes included.
4 = Most major fields complete, missing one or two items.
3 = Basic company information included, but missing email/contact person.
2 = Limited information.
1 = Poor-quality lead. Avoid including unless approved.
Preferred Freelancer Skills

The ideal freelancer should have experience with:

• AI-assisted lead generation
• Web scraping / public data collection
• Google Sheets / Excel
• Data cleanup
• B2B lead generation
• Public directory research
• Google Maps research
• Apify, Clay, PhantomBuster, Instant Data Scraper, Browse AI, or similar tools
• ChatGPT / Claude for research and cleanup
• Duplicate cleanup
• Construction, real estate, architecture, design, or home improvement research

Strong organization is more important than perfect manual verification.

Full Project Goal

After the test task, we may hire for a larger list of 1,000–5,000+ leads across multiple categories.


How to Apply

Please reply with:

Your cost estimate for work
Your experience building large B2B lead lists
Your experience using AI tools, automation, scraping tools, APIs, or directory research
What tools you would use for this project
Your experience with Excel or Google Sheets
How many leads you can collect per hour
Your recommended price per 1,000 leads

We are looking for a technical B2B data automation specialist to build a compliant lead research and enrichment workflow for our marketing agency.

The goal is to help us identify Australian businesses that are a strong fit for our services, organise the data into a clean database, enrich company and decision-maker information, and prioritise leads based on clear business criteria.

This project must be completed using lawful, compliant and permitted data sources only. We are not looking for any unauthorised scraping, bypassing of access controls, use of fake accounts, or activity that violates the terms of any third-party platform.

Project Goal

We want to build a workflow that starts with company and contact data from Apollo, filtered by location, industry, company type, company size and job title.

For example:

Gold Coast / Brisbane / Queensland businesses
→ exported from Apollo using permitted account access
→ cleaned and deduplicated
→ enriched with company, website, social profile and decision-maker data
→ checked against permitted advertising intelligence or public/authorised data sources
→ scored based on business fit, contact quality and location relevance
→ exported into a clean sales-ready database.

Core Requirements

You will help build a workflow that can:

Import company and contact data from Apollo exports or approved integrations.
Clean, deduplicate and normalise company records.
Match businesses to their correct website, LinkedIn company page, Facebook Page, Instagram profile or other public business profiles where this can be done through permitted methods.
Enrich each business with decision-maker data, including roles such as:
Founder
Co-Founder
CEO
Managing Director
Owner
Head of Marketing
Marketing Manager
Ecommerce Manager
Growth Manager
Enrich and validate location data, including:
Business city
Business state
Business country
Public business address where available
Founder/contact location where available
Contact LinkedIn location where available
Location match between contact and business
Create a location confidence score.

For example:

Same city or metro area
Same state
Same country
Overseas contact
Unknown or conflicting location data
Identify whether the business appears to be a good-fit e-commerce or consumer brand.
Exclude or flag poor-fit categories such as:
Restaurants
Cafes
Alcohol
Food-only businesses
B2B-only companies
Agencies
Software companies
Real estate
Construction
Industrial businesses
Non-e-commerce businesses
Check whether businesses appear to be actively investing in paid social advertising, using only permitted sources, licensed data providers, approved APIs, user-exported data, or manual review workflows.
Score each lead based on:
Business fit
Location relevance
Contact quality
Founder/CEO/marketing decision-maker availability
E-commerce fit
Shopify or e-commerce platform detection, where possible
Klaviyo or email platform detection, where possible
Advertising activity signal, where available through compliant sources
Manual review requirements
Output the final data into Google Sheets, Airtable, Clay or another agreed database format.
Preferred Workflow

The ideal workflow may look like this:

Apollo company/contact export
→ Clay or Airtable enrichment table
→ website/domain normalisation
→ social profile matching through permitted sources
→ approved advertising activity lookup or manual review queue
→ founder/CEO/contact enrichment
→ location matching
→ e-commerce fit scoring
→ lead scoring
→ final export.

Tools and Data Sources

You should be comfortable working with tools such as:

Apollo
Clay
Google Sheets
Airtable
Approved enrichment APIs
Licensed B2B data providers
LinkedIn/company enrichment tools, where permitted
People Data Labs or similar enrichment providers
BuiltWith
StoreLeads
Wappalyzer
Google Places, where appropriate
Australian business data sources, where permitted
Python
APIs
Webhooks
JSON
CSV imports/exports
Data deduplication
Fuzzy matching
Entity resolution

You do not need to use every tool above. We want your recommendation on the most reliable and compliant stack.

Title: Lead Generation for Apartment Property Managers (300+ Units)

**Description:**

We’re building a targeted prospect list to book walkthroughs with large apartment communities (300–700 units) in the Columbus, Ohio market.

We are not looking for a generic scrape.
We need a clean, verified list of properties and decision-makers we can contact immediately to discuss adding a resident amenity service.

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**Objective (What success looks like):

A high-quality list of apartment communities where:

* The property size and layout make valet-style services relevant
* We have the right contact (property manager or regional manager)
* Contact info is accurate enough for direct outreach (email + phone)

This list will be used for cold calling and email to book property walkthroughs.

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Target Criteria:

Only include properties that meet most of the following:

* Located in Columbus, OH and surrounding areas
* 300+ units (estimate is acceptable)
* Professionally managed (not small private landlords)
* Multi-building or high-density communities preferred
* Modern or amenity-driven positioning is a plus

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**Data Required for Each Lead:**

* Property Name
* Address (City + Zip)
* Estimated Unit Count
* Property Website
* Management Company
* Property Manager Name (or Community Manager)
* Regional Manager Name (if available)
* Verified Email Address(es)
* Phone Number (property + contact if available)
* LinkedIn Profile (if available)
* Source of data (e.g., Apartments.com, LinkedIn, company site)

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**Quality Requirements:**

* Emails must be **verified (low bounce risk)**
* Contacts must be **relevant decision-makers**, not generic inboxes
* No bulk scraping without filtering
* Data should be clean, deduplicated, and organized

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**Tools / Methods (Expected):**

You should be comfortable using tools such as:

* Apollo, LinkedIn Sales Navigator, ZoomInfo (or similar)
* Google Maps, Apartments.com, property websites
* Email verification tools

---

**Initial Scope:**

* **50 leads (test batch)**

If quality is strong, we will expand to:

* **200–500+ leads**
* Ongoing work

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**To Apply:**

Please include:

1. A sample of similar lead generation work (real estate preferred)
2. The tools you use to find and verify contacts
3. A brief outline of how you would identify and verify property managers for 300+ unit apartment communities
4. Your preferred pricing (hourly or per lead)

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**Notes:**

We are building a repeatable outbound system and are looking for someone reliable we can work with long-term.
Accuracy and relevance matter more than volume.

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If you understand how to find the *right* properties and the *right* contacts within them, this will be a strong ongoing opportunity.

Hello,

I’m Tom Cros, founder of Pulsax Sports Recovery, a French sports recovery brand currently broadening its offer into Pilates.

We are seeking a sourcing professional who can help us identify reliable suppliers and fulfillment solutions for Pilates Reformers and related equipment.

We are not restricting the search to Europe. Our priority is operational viability: suppliers or logistics structures able to deliver to France in about 4 weeks, while keeping landed costs commercially workable for bulky products.

Our business model is online-led, which means we need flexibility at the start — ideally MOQ 1 / single-unit fulfillment capability — while keeping a clear long-term scaling perspective.

We are not looking for generic marketplace sourcing. We need structured supplier research, viable shipping solutions, and a supply base that can support long-term growth.

Please let me know if this matches your expertise.

Best regards,
Tom Cros

We are seeking a skilled link building specialist to help us secure guest post placements for our B2B lead generation automation tool. Our product competes with industry leaders like Phantombuster, Apify, and Clay, and requires high-quality, authoritative backlinks to enhance our online presence. The ideal candidate will have experience in guest posting strategies, strong outreach skills, and a proven track record of securing placements in relevant niches. If you have a passion for SEO and a deep understanding of B2B marketing, we want to hear from you!

**Relevant Skills:**
- Link Building
- Guest Posting
- SEO Strategy
- Outreach Campaigns
- B2B Marketing
- Content Creation

We are a premium landscape construction company based in Southern California. We are looking for a detail-oriented web research and lead generation specialist to build a complete, organized, and verified contact list of potential referral partners.

This is not a basic scraping job. We need someone who can research, cross-reference, verify, and organize leads from multiple online sources into one clean Excel or Google Sheets database.

The goal is to build a high-quality list of professionals and companies who may refer landscape construction, hardscape, grading, drainage, outdoor living, retaining wall, irrigation, and exterior improvement projects.

We want leads from these industries:

• Landscape Designers
• Landscape Architects
• General Contractors / Custom Home Builders
• Property Managers / HOA Managers
• Interior Designers
• Real Estate Agents
• Civil Engineers
• Structural Engineers
• Estate Managers / Private Residence Managers

The key to this project is cross-referencing all available online information so each lead has the most complete profile possible. If the same company appears on Google Maps, Houzz, BuildZoom, LinkedIn, and their company website, that information should be combined into one complete row, not entered as duplicates.

Target Locations

Please focus on Southern California, especially:

Santa Barbara Area
Santa Barbara: 93101, 93103, 93105, 93108, 93109, 93110, 93111

Ventura County Area
Ventura: 93001, 93003, 93004
Oxnard: 93030, 93033, 93035, 93036
Port Hueneme: 93041
Camarillo: 93010, 93012
Somis: 93066
Santa Paula: 93060
Fillmore: 93015
Piru: 93040
Ojai: 93023
Oak View: 93022
Moorpark: 93021
Simi Valley: 93063, 93065
Thousand Oaks: 91320, 91360, 91361, 91362
Newbury Park: 91320
Westlake Village: 91361, 91362
Lake Sherwood: 91361
Oak Park: 91377
Agoura Hills: 91301
Agoura: 91301
Cornell: 91301
Hidden Valley: 91361
Santa Rosa Valley: 93012

Calabasas / Conejo / Santa Monica Mountains Area
Calabasas: 91302
Hidden Hills: 91302
Bell Canyon: 91307
Woodland Hills: 91364, 91367
West Hills: 91304, 91307
Canoga Park: 91303, 91304
Chatsworth: 91311
Topanga: 90290
Malibu: 90265
Pacific Palisades: 90272

San Fernando Valley / LA Area Toward West Hollywood
Encino: 91316, 91436
Tarzana: 91335, 91356
Reseda: 91335
Northridge: 91324, 91325, 91330
Granada Hills: 91344
Porter Ranch: 91326
Sherman Oaks: 91403, 91423
Studio City: 91604
Valley Village: 91607
North Hollywood: 91601, 91602, 91605, 91606
Burbank: 91501, 91502, 91504, 91505, 91506
Universal City: 91608
Hollywood Hills: 90068
Hollywood: 90028, 90038, 90046, 90068
Beverly Grove: 90048
Hancock Park: 90004, 90020, 90036
Beverly Hills: 90210, 90211, 90212
Bel Air: 90049, 90077
Brentwood: 90049
Westwood: 90024
Century City: 90067
West Hollywood: 90046, 90048, 90069



Industries and Sources to Research
1. Landscape Designers

Research landscape designers, garden designers, outdoor living designers, and residential landscape design firms.

Primary sources:

• Association of Professional Landscape Designers
• Houzz
• Google Maps
• Company websites
• LinkedIn, if publicly available

2. Landscape Architects

Research licensed landscape architects and landscape architecture firms.

Primary sources:

• ASLA FirmFinder
• California LATC license search
• Houzz
• Google Maps
• Company websites
• LinkedIn, if publicly available

3. General Contractors / Custom Home Builders

Research general contractors, custom home builders, luxury remodelers, and design-build firms.

Primary sources:

• BuildZoom
• Angi List / HomeAdvisor
• Google Maps
• Company websites
• LinkedIn, if publicly available
• CSLB license verification, when applicable

4. Property Managers / HOA Managers

Research HOA management companies, property management companies, commercial property managers, community association managers, and residential property managers.

Primary sources:

• CACM Management Company Directory
• CAI — Community Associations Institute
• IREM Directory
• HOA Management Directory
• Google Maps
• Company websites
• LinkedIn, if publicly available

5. Interior Designers

Research luxury interior designers, residential interior designers, interior design firms, indoor-outdoor living designers, and boutique design studios.

Primary sources:

• ASID Design Finder
• Houzz
• Interior Design Society — IDS
• IIDA Southern California
• Google Maps
• Company websites
• LinkedIn, if publicly available

6. Real Estate Agents

Research luxury real estate agents, listing agents, buyer agents, brokers, and high-end residential agents.

Primary sources:

• Zillow Agent Finder
• Realtor.com
• The MLS
• Google Maps
• Brokerage websites
• LinkedIn, if publicly available

7. Civil Engineers

Research civil engineering firms, grading engineers, drainage engineers, land development engineers, stormwater engineers, and land surveying firms.

Primary sources:

• ACEC California Directory
• ASCE
• Google Maps
• Company websites
• LinkedIn, if publicly available
• California BPELSG license verification, when applicable

8. Structural Engineers

Research residential structural engineers, retaining wall engineers, foundation engineers, hillside structural engineers, and outdoor structure engineers.

Primary sources:

• Google Maps
• Houzz
• BuildZoom
• Company websites
• LinkedIn, if publicly available
• California BPELSG license verification, when applicable

9. Estate Managers / Private Residence Managers

Research estate managers, house managers, private residence managers, estate management companies, domestic staffing agencies, and private household service companies.

Primary sources:

• Estate Management Network
• Estate Managers Coalition
• Google Maps
• LinkedIn
• Estate management company websites
• Domestic staffing agency websites, when relevant

Required Information to Collect

For each lead, collect as much of the following information as publicly available:

• Company name
• Contact person name
• First name
• Last name
• Job title / role
• Industry category
• Company type
• Website
• Business phone number
• Business email address, if publicly listed
• Contact form URL
• Street address
• City
• County
• State
• Zip code
• Service area
• Source where the lead was found
• All source profile links
• Data completeness score
• Verification status
• Date researched

Spreadsheet Requirements

The final deliverable must be an easy-to-read Excel or Google Sheets file.

Please create separate tabs for each industry:

Landscape Designers
Landscape Architects
General Contractors
Property Managers / HOA Managers
Interior Designers
Real Estate Agents
Civil Engineers
Structural Engineers
Estate Managers
Master List

The Master List should combine all leads into one complete database.

Required Spreadsheet Columns

Please include these columns:

Lead ID
Industry Category
Company Name
Contact First Name
Contact Last Name
Full Name
Job Title
Company Type
Website
Business Email
Business Phone
Contact Form URL
Street Address
City
County
State
Zip Code
Service Area
Primary Source
Each lead must be researched carefully

Requirements:

• No duplicate companies
• No duplicate contacts unless they are different decision makers at the same company
• Combine information from multiple sources into one complete row
• Add all relevant source URLs
• Use only publicly available business information
• Do not add low-quality or irrelevant businesses
• Do not add businesses outside the target geography unless they clearly serve Southern California

What Counts as a Complete Lead

A lead is considered complete only if it has, at minimum:

Company name
Industry category
Website or profile URL
Phone number or email


Preferred complete lead includes:

Company name
Contact person
Job title
Website
Phone
Email or contact form
Address
City
Service area
Multiple source URLs
License info, if applicable
Notes
Referral potential score
Referral Potential Scoring

Please score every lead:


Please score every lead from 1 to 5:

5 = Company, contact person, website, phone, email/contact form, address, source links, notes, and verification complete.
4 = Most major fields complete, but missing one or two items.
3 = Basic company information complete, but missing contact person or multiple source links.
2 = Incomplete lead with limited information.
1 = Poor-quality lead. Should not be included unless approved.
Preferred Freelancer Skills

The ideal freelancer should have experience with:

• Web research
• B2B lead generation
• Data entry
• Excel / Google Sheets
• Contact list building
• LinkedIn research
• Local business research
• Construction, real estate, architecture, design, or home improvement research
• Duplicate cleanup
• Cross-referencing multiple sources
• Finding decision makers
• Organizing large spreadsheets

Strong attention to detail is required.



Full Project Goal

We want to build a list of 500-1000 per category

How to Apply

Please reply with:

Your experience building B2B lead lists
Your experience with Excel or Google Sheets
Whether you have researched contractors, architects, designers, real estate agents, property managers, or engineers before
How you cross-reference and verify data
How you avoid duplicates
Your recommended price per 500-1000 verified leads

We are seeking a skilled data scraper to extract reviews and relevant information from mental health facilities across all 50 states. The data collected should be suitable for AEO ranking purposes. The ideal candidate will have experience with web scraping tools and techniques, ensuring accuracy and completeness of the data. If you possess a keen eye for detail and a passion for mental health, we’d love to hear from you. Please provide examples of previous scraping projects you've completed.