Data Scraping Projects on Vollna

Currently working but need some work around Google captcha and etc. It is better if you did similar or same project before.

Search for vehicles by make, model, and year range
Extract detailed vehicle information including:
Lot number
Year, make, model
Current bid
Location
Damage information
Title status
Odometer reading
Engine details
Transmission
Color
Drive type
Fuel type
Sale date
Image URL
Save results to CSV format

We are seeking a skilled data scraping / data entry specialist for lead generation. The ideal candidate will be proficient in web scraping techniques to extract relevant contact information from various sources. Your tasks will include extracting data efficiently, and organizing it into a well-structured format. Attention to detail and the ability to work independently are crucial for this role. If you have experience in data scraping and a passion for delivering high-quality results, we would love to hear from you!

• Describe your recent experience with similar projects

We are looking for an expert lead generator and mailing list builder

I run a boutique tax and compliance firm. I’m looking for a lead generation expert who can scrape verified data on California-based businesses that:
• Are currently suspended by the Franchise Tax Board (FTB) or Secretary of State
• Have tax liens or unpaid franchise taxes
• Or have recently revoked business licenses

Ideal data points:
• Business name
• Owner name (if possible)
• Phone number
• Email address
• Physical address or city
• Suspension or tax lien status
• EIN (if public)

Focus on businesses in Orange County, Los Angeles, Riverside, and San Bernardino.

Deliver in CSV format. Please include sample leads you’ve sourced before. Looking to hire ASAP — if quality is good, this will be an ongoing project.

We are seeking a skilled freelancer to assist with lead list building and enrichment for our cold email campaigns. The ideal candidate should be proficient in using tools like Clay, Apollo, and Crunchbase to gather and enhance leads effectively. Your role will involve identifying target audiences, collecting relevant data, and ensuring the accuracy of information. If you have experience in lead generation and are detail-oriented, we would love to hear from you.

Job Description:

We’re a real estate investment company looking to hire a reliable and detail-oriented Virtual Assistant to manage lead flow inside REI Reply and handle weekly data sourcing tasks.

You’ll be responsible for organizing cold leads, re-engaging old prospects, qualifying new ones, and pulling fresh bulk data weekly to keep the pipeline full.

This is a performance-driven role with clear systems and room to grow.

Responsibilities:

Manage REI Reply CRM: tag, organize, update lead status
Respond to inbound messages and re-engage cold leads using existing workflows
Qualify leads based on motivation, timeline, condition, and price
Pull and organize weekly data lists from PropStream, PropWire, and county sources
Maintain a master Google Sheet tracker (template provided)
Submit a weekly activity and lead summary report

Requirements:

Experience using REI Reply or similar CRMs (GoHighLevel, LaunchControl, etc.)
Strong written English for handling SMS conversations with sellers
Knowledge of real estate investing (wholesaling, fix and flip, buy and hold)
Comfortable following detailed SOPs and workflows
Dependable, organized, and proactive with follow-up
Preferred (Not Required):
Experience calling leads or comfortable with basic outbound calling
Familiar with list stacking or skip tracing tools (BatchLeads, Property List Manager)
Has worked with U.S.-based investors previously

How to Apply:

Briefly describe your experience with REI Reply or similar tools
Share an example of how you’ve helped a real estate investor manage or convert leads
Include the word “PipelinePro” at the top of your message so I know you read the entire post
(Optional) Share a voice sample or brief audio if you're open to making calls

Hi,

I need help with the following: Lead generation, automation, integration, social media, Insta ad, and appointment setting. Let me know your availability, work process, and typical charges. Thank you!

It can lead to a full-time role if it's the right fit.

I need someone to find the name, email, and phone number for 5000 businesses in the US that don't have websites. Pretty straight forward. Send examples so I can make sure we are on the same page.

✅Job Description
We’re a cold email marketing and lead generation agency looking for a reliable, fast, and creative lead sourcer to help us scale.

We love designing campaigns—but lead list building, enrichment, and qualification slow us down. We're looking for someone to take over that part of the process on a weekly basis and become a key extension of our team.

✅What You’ll Do:
Source leads from tools like Apollo, Crunchbase, Storeleads, LinkedIn, and other creative data sources

Qualify decision-makers based on our provided ICP and project-specific criteria

Find and verify emails (e.g., using NeverBounce, ZeroBounce, or similar)

Enrich lead data in Clay.com (must have experience using Clay)

Ensure we capture the full total addressable market (TAM) by combining multiple data sources and thinking critically about how to reach under-targeted segments

Most projects require 1,000 leads per week, with up to 5 projects per week

Think resourcefully—many of our best-performing campaigns use unconventional or low-saturation lead sources

Access and follow our internal sourcing workflows (you’ll get documentation)

✅ Requirements:
Solid experience sourcing and enriching B2B leads

Must be skilled in LinkedIn-based lead research

Hands-on with Apollo, Clay.com, Crunchbase, Storeleads, and scraping tools

Able to verify email addresses accurately and efficiently

Creative approach to finding leads from niche and alternative sources

Responsive, proactive, and detail-oriented

Bonus Skills (not required but appreciated):
Familiarity with PhantomBuster, Make.com, or similar scraping/automation tools

Understanding of cold email best practices

✅Tool Access
If you already have access to tools like Apollo, Clay, Crunchbase, or Storeleads—great. If not, we can provide access for the right person.

✅Hiring Process:
We keep it simple.

You’ll complete a test task where we’ll give you a sample prompt and ICP.

If your lead list meets our quality standards, we’ll move to a short interview.

If everything aligns, we’ll start with a 2-week paid trial, where we’ll monitor lead quality and turnaround time.

From there, if it’s a good fit, we’ll move into a long-term collaboration.

We’re looking for someone to join us weekly with consistent project work—around to 5,000 leads per week.

• What tools do you use for lead scraping/qualification/enrichment (Apollo, LinkedIn, Clay, etc.)?
• If you've sourced leads from an unconventional place before (meaning not just using Apollo or Crunchbase, but data mining from subreddits or other websites, for example), share an example. If you have no such experience yet, answer "N/A"
• What experience do you have using Clay.com to enrich or qualify leads?
• Do you currently have access to Apollo, Clay, Crunchbase, or Storeleads?
• Describe your recent experience with similar projects (bring out case studies if you have any)?

- Make outbound calls to property owners and potential leads
- Qualify interested sellers and gather relevant property information
- Build rapport and establish trust with prospects
- Keep detailed records of interactions and follow-up actions
- Meet daily and weekly call targets

I need a full list of crypto currencies with their symbols for Coinbase (e.g., symbol = WIF, name = dogwifhat) and their respective ID on Coingecko (ID = dogwithcoin).
This should cover all coins correctly that are traded on both platforms.

We are seeking an experienced lead generation specialist to create a targeted B2B email list of medium to large private and public organizations in Australia. The ideal candidate will have a proven track record in identifying, compiling and validating contact information for decision-makers within relevant industries. Your expertise will help us reach out to potential clients effectively and expand our business network. Please provide examples of past projects and your methods for collecting accurate data. The ideal candidate will deliver clean and organised data in MS Excel format and be able to work to tight deadlines (2 day turnaround)

We are seeking skilled data crawlers to assist in providing a set of logical reasoning questions. The ideal candidates will have experience in web scraping and data extraction, ensuring high-quality and relevant content. You will be responsible for identifying, gathering, and organizing logical reasoning questions from specified sources. Attention to detail and the ability to analyze data effectively is crucial for this role. If you have a passion for data and a knack for problem-solving, we'd love to hear from you!

Objective:
To build a comprehensive and accurate list of U.S.-based weight loss clinics that offer GLP-1 medications such as Semaglutide (Ozempic, Wegovy), Tirzepatide (Mounjaro, Zepbound), and related services.

Scope of Work:
The selected candidate will be responsible for researching, verifying, and compiling the following information for each clinic:

Clinic/Company Name
Official Website URL
CEO/Founder Name (if available)
CEO/Founder Email (if available)
Support/General Contact Email
Medications/Services Offered:
Semaglutide (Brand or Compounded)
Tirzepatide (Brand or Compounded)
Other related weight loss services

Notes on Compounding (i.e., whether medications are compounded or branded)

Data Source Guidelines:
Prioritize clinics based in the U.S. and Canada
Publicly accessible and verifiable data only
Use clinic websites, LinkedIn, state pharmacy boards, press releases, and verified directories

Deliverable Format:
Google Sheet or Excel Spreadsheet
Each row represents one clinic with columns for each required data point

Timeline:
To be discussed based on your availability and data volume

Please Only apply if you can work in provided budget.

I need someone to find the name, email, and phone number for 5000 businesses in the US that don't have websites. Pretty straight forward. Send examples so I can make sure we are on the same page.

We are seeking a detail-oriented freelancer to scrape data from a specified website and organize it into a CSV file with a precise structure. The ideal candidate should be familiar with web scraping techniques and have experience in data formatting. Attention to detail is crucial, as the data needs to be structured in a very specific way. If you possess the necessary skills and are available for this project, we would love to hear from you!

Description:
I'm looking for a highly skilled data scraper and researcher to compile a comprehensive list of private companies located within a 1.5-hour radius of Washington, DC and Prince George’s County, Maryland.

What I Need:
A spreadsheet/database with as much of the following as possible:

Company Name

Industry

Street Address, City, State, ZIP

Website

Owner/CEO/Key Decision-Maker Name

Owner/Contact Email + Phone Number (if available)

Estimated Revenue

Employee Count

Year Founded

Social Media Links (LinkedIn preferred)

Any other useful business metrics or indicators (e.g. funding, growth stage, certifications, etc.)

Where to Source From (examples):

Local business directories

State and local government registries

Chamber of Commerce listings

LinkedIn + Crunchbase

ZoomInfo, Apollo, D&B Hoovers (if accessible)

SBA or minority-owned business directories (if applicable)

Deliverables:

Clean, deduplicated CSV or Google Sheet

Summary of sources and methods used

Optional: A short Loom walkthrough or written overview of the scraping process

Ideal Freelancer:

Proven experience with web scraping, lead generation, and enrichment

Access to reliable tools or paid data sources (e.g., Hunter.io, Apollo, Clearbit, etc.)

Can work fast and ensure data quality

Familiar with business data privacy and ethical scraping practices

In Your Proposal, Please Include:

Examples of similar projects you've done

Tools you’ll use

Turnaround time

Your rate (flat or hourly)

• Include scraper expert in your response

Post for Anyone Looking for a Python Freelancing Job

Note: This job requires solving an assignment and emailing me the answers. There is a cipher hidden in this text. Once you solve it, you will receive your first advance payment and a Python project to work on.

When I bought my first house, the property dealer lied to me about the floor price. When we went to the meeting to buy the floor, the builder increased the price from what the property dealer had initially told us. Since we had no other choice at the time, we bought the floor at the higher price. Later, after moving into the house, I discovered that the builder had done the same thing with other floors as well, but with a lower price increase.

After spending a year in that house, I also realized that the builder had lied to the landowner and quoted him a different price for the floor he had sold. After a year, the builder installed a lift, and I had a conflict with other floor members, which led to damage to the boring pipeline. Later, I called the builder to arrange a meeting regarding the payment for the lift, only to realize it was a trap, and there was nothing I could do. So, I gave up and waited nine months for the builder to realize the truth. During that time, the builder played his game—he lied, sold other floors, disconnected my electricity, changed the name on the water connection, and waited nine months until he could break my ego and force me to come to him.

Payment:
₹500 per question (Total payment: ₹10,500)

Questions:
What was the price the property dealer told me for the floor?
What was the price the builder quoted for the floor during the meeting?
At what price did I actually buy the floor?
How much money did I hold for the lift and pay a year later?
How much did I pay the builder, excluding the lift amount?
What price did the builder tell the landowner for the floor?
What is the floor number I own (according to the doorbell, the lift, and the upper ground convention)?
When I moved in, how many floors had already been sold, including mine?
Before selling me the floor, which other floor had the builder already sold (according to the doorbell, the lift, and the upper ground convention)?
When selling another floor, what price did the builder tell the property dealer to quote to buyers?
At what price did the builder actually sell the floor?
How much did other floor members hold for the lift, to be paid upon installation?
How much did other floor members pay the builder, excluding the lift amount?
How much did the builder tell the landowner he had sold the other floor for?
How much money is needed to fix the damaged boring pipeline?
How much did I pay the builder, including the extra lift amount that he didn’t disclose to the landowner?
What are the names of the people who owned other floors in the building when I moved in?
How many people lived on the other floors in the building when I moved in?
In which month did you pay 1% commission to the property dealer?
What is your grandmother’s name?
What is your date of birth?

You can either reply to this job post or email all the answers to ganeshincar_at_gmail_dot_com.

P.S.: Anyone who can solve this cipher can end the cycle of reincarnation. Let me know if anyone out there has the capability to do that.

#freelancers #freelance #freelancer #awsdataengineer #awscloud #awsdevops #awsjobs #python #pythonprogramming #dataengineers #urgentrequirement #urgenthiring #data #dataanalysts #aws #snowflake #gcp #gcpcloud #gcpdataengineer #gcpengineer #Terradata #DBT
#MachineLearning #RemoteJobs #machinelearningjobs #HIRING
#PythonDeveloper #Freelance #Hiring #RemoteWork #TechJobs #WebScraping #Django #CompetitiveProgramming #ProjectBased #Python #DeveloperJobs #JobOpening #SoftwareDevelopment #TechCareers #Programming #FreelanceJobs #ContractDeveloper #TechTalent #RemoteJob #DeveloperLife #PythonJobs #DjangoDevelopment #CodingJobs #TechRecruiting #JobSearch

Job Description:

We are seeking a detail-oriented researcher to assist with a one-off data matching project. The task involves reviewing a list of registered liquidators provided by ASIC and identifying their current firm names via LinkedIn or other publicly available sources.

Key Responsibilities:

-Review a provided list of registered liquidators
-Search LinkedIn and other online resources to identify each liquidator’s current firm/employer
-Compile and deliver the data in a structured format (Excel or Google Sheets preferred)

Requirements:

-Strong online research skills, especially using LinkedIn
-High attention to detail and accuracy
-Ability to organize and clearly present data
-Prior experience with similar research/data compilation tasks is preferred

• How would you collate information for the project?

Overview:

We are hiring a small dev team to build a real-time price comparison platform for a non-retail, compliance-sensitive product category. Think "Google Flights for specialty consumables"—pulling data from vendor sites, standardizing prices and availability, and presenting it in a clean, searchable interface.

This is a long-term build. The MVP will be your foundation, but you must architect with scalability and modularity in mind.

✅ What You’ll Build (MVP)

Frontend
React or Next.js
Responsive comparison UI (desktop/mobile)
Compound search with filters
SEO-friendly dynamic pages (e.g., /compare/item-x)
Click tracking on outbound affiliate links
Light/dark mode toggle
Legal disclaimer UI throughout

Backend
Node.js or FastAPI
PostgreSQL or SQLite
Canonical compound table with alias mapping
REST or GraphQL API
Logging for searches, clicks, and scrape events

Modular Scraping Engine
Playwright-based
Vendor-specific config files and logic
Supports JS-rendered content, dropdowns, variant SKUs
Retryable queue system (BullMQ or Celery)
Admin UI must allow enabling/disabling scrapers, assigning configs

Admin Portal
Secure login
CRUD for vendors and products
Manual override of scraped fields
Alias assignment (normalize itemx, item-x, ix)
View scraper results and CTR logs
Toggle visibility of products/vendors

Analytics
Event logs: searches, pageviews, CTR
Track product popularity and price movement
Optional: PostHog or Plausible integration
Simple dashboard + export (CSV/JSON)

🔮 Future Features (Must Architect For)
These are not in MVP but must influence design:

User login, favorites, watchlists
Email alerts (price drops, back in stock)
Newsletter generator (“Top price drops this week”)
Vendor metadata (badges, COAs, payment methods)
Vendor reviews (moderated)
Historical price graphs
Premium tier (API access, data exports)

🧠 Who We’re Looking For Teams only (not solo devs)

Must provide UI/UX via Figma
Experience with ecommerce scraping and normalization
Familiarity with affiliate link integration
Strong attention to SEO and mobile UX

💼 When You Apply, Answer These:

Team members and roles
** Past scraper or aggregator platforms you’ve built
** Preferred stack for backend/scraping/admin
** How you’d handle product aliases and normalization
** How you’d modularize vendor scrapers for future scaling
** Can you provide the UI/UX design internally?
** Time estimate for 6-week MVP
** Timezone and weekly availability
** Hourly or fixed budget (both accepted)

Important Notes:

This platform operates in a compliance-sensitive niche. All product data is labeled for research use only. No product sales, human-use instructions, or testimonials will be published.

You’ll receive a vendor list, sample aliases, legal copy, and markup references after hire or NDA.

We are seeking a skilled freelancer to gather 300 contacts, each including personal phone numbers. The ideal candidate will have experience in data collection and must ensure the accuracy and validity of the contact information. Attention to detail is crucial, as well as the ability to work independently and meet deadlines. If you have a proven track record in similar projects, we would love to hear from you. Please provide examples of past work related to data gathering when applying.

Website with Username and password : Login in : Set date range : Set the data to detailed view : Click Export: Take the Excel download and upload it to a S3 bucket. Task to repeate every 30 mins.

Simple.

You can ask for Development / Production server access on GCP / AWS.

Job Description:

We’re a real estate investment company looking to hire a reliable and detail-oriented Virtual Assistant to manage lead flow inside REI Reply and handle weekly data sourcing tasks.

You’ll be responsible for organizing cold leads, re-engaging old prospects, qualifying new ones, and pulling fresh bulk data weekly to keep the pipeline full.

This is a performance-driven role with clear systems and room to grow.

Responsibilities:

Manage REI Reply CRM: tag, organize, update lead status
Respond to inbound messages and re-engage cold leads using existing workflows
Qualify leads based on motivation, timeline, condition, and price
Pull and organize weekly data lists from PropStream, PropWire, and county sources
Maintain a master Google Sheet tracker (template provided)
Submit a weekly activity and lead summary report

Requirements:

Experience using REI Reply or similar CRMs (GoHighLevel, LaunchControl, etc.)
Strong written English for handling SMS conversations with sellers
Knowledge of real estate investing (wholesaling, fix and flip, buy and hold)
Comfortable following detailed SOPs and workflows
Dependable, organized, and proactive with follow-up
Preferred (Not Required):
Experience calling leads or comfortable with basic outbound calling
Familiar with list stacking or skip tracing tools (BatchLeads, Property List Manager)
Has worked with U.S.-based investors previously

How to Apply:

Briefly describe your experience with REI Reply or similar tools
Share an example of how you’ve helped a real estate investor manage or convert leads
Include the word “PipelinePro” at the top of your message so I know you read the entire post
(Optional) Share a voice sample or brief audio if you're open to making calls

Looking for a trend analyst expert that constantly monitors different communities to look for emerging trends, prefer someone who knows how to scrape pages, use api calls to get data

We are looking for a skilled developer or data engineer with strong experience in reverse engineering websites. The goal is to analyze a specific website that aggregates data from various sources and determine:
Which APIs the site is using
The original sources of the data
How data is fetched and structured (browser-based or server-side)
Whether the data can be accessed independently of the site

Requirements:
Proven experience in web reverse engineering
Familiarity with tools like Chrome DevTools, Fiddler, Wireshark, or Burp Suite
Ability to identify third-party APIs and trace network activity
Understanding of JavaScript obfuscation and anti-scraping techniques
Strong English communication skills
Bonus:
Experience with scraping or building data aggregation systems
Security research or ethical hacking background
Deliverables:
A documented report of how the data is retrieved
A list of API endpoints used
Identification of third-party data sources if any
Suggestions for accessing or replicating the data pipeline

Please include in your proposal:
A brief description of similar projects you’ve completed
Your approach for analyzing and documenting the site’s data flow
Your estimated timeframe and hourly rate
start your message with hi mich so I know you read the message

# Diamond Data Scraping Project

## Project Overview
We are seeking a skilled developer to enhance and optimize our existing diamond data scraping system. The project involves automating the extraction of diamond inventory data from a specialized diamond trading platform with comprehensive filtering capabilities.

## Current Implementation
The existing system currently:
- Handles basic authentication with captcha solving
- Applies limited filters for diamond characteristics
- Downloads data for specific carat ranges
- Processes Excel exports into JSON format
- Manages multiple login sessions

## Required Enhancements
The successful candidate will need to:

1. **Comprehensive Filter Management**
- Implement a system to handle all possible filter combinations
- Develop an intelligent filter adjustment mechanism when search results exceed limits
- Create a dynamic filter optimization strategy to maximize data retrieval

2. **Search Optimization**
- Implement smart waiting mechanisms for search button availability
- Develop automatic filter adjustment when search is disabled
- Create a system to track and manage partial downloads

3. **Data Collection Strategy**
- Design a systematic approach to download the entire inventory
- Implement chunked downloading to handle large datasets
- Create a mechanism to track and resume interrupted downloads

4. **Error Handling & Resilience**
- Enhance error recovery mechanisms
- Implement robust retry logic for failed downloads
- Add comprehensive logging and monitoring

## Technical Requirements
- Strong experience with Python and async programming
- Proficiency with Playwright for web automation
- Experience with data processing and transformation
- Knowledge of handling large datasets
- Understanding of web scraping best practices

## Key Challenges
- Managing session timeouts and authentication
- Handling captcha verification
- Optimizing filter combinations for maximum data retrieval
- Ensuring data completeness and accuracy
- Managing rate limiting and avoiding IP blocks

## Deliverables
1. Enhanced scraping system with comprehensive filter management
2. Robust error handling and recovery mechanisms
3. Data validation and completeness checking
4. Detailed documentation of the system
5. Performance optimization recommendations

## Additional Considerations
- The system should be maintainable and scalable
- Code should follow best practices and include proper documentation
- Implementation should consider the website's terms of service
- System should be able to handle website updates and changes

This project requires a developer who can think systematically about data collection strategies and implement robust solutions for handling large-scale web scraping tasks while maintaining data integrity and system reliability.

We are looking for a skilled web scraping specialist to assist in extracting data from various websites. The ideal candidate should be proficient in utilizing web scraping tools and techniques to gather information efficiently. Experience with data cleaning and transformation is a plus, as is the ability to handle complex web structures. If you have a strong attention to detail and can deliver accurate results in a timely manner, we encourage you to apply.

We are seeking a skilled Lead Generation Specialist to help us identify and engage potential clients. The ideal candidate will have experience in researching and sourcing leads through various platforms and techniques. You will be responsible for creating targeted lists, utilizing CRM tools, and implementing effective outreach strategies. Strong communication skills and a results-driven attitude are essential for this role. If you have a proven track record in lead generation and a passion for connecting businesses with opportunities, we want to hear from you!

We have an existing python script that scrapes data from a website.

The script is designed to scrape a website, produce multiple CSVs and combines them into one CSV.

This last step of combing the CSVs into one file is no longer working.

Might be due to an update to pd.ExcelWriter or .toExcel modules.`

The deliverables are:

1) Update the existing code to produce the 1 CSV output file (no other code changes are required)

2) Ensure that the code works on multiple platforms (specifically Windows and Linux - Ubuntu). The code already uses os.path etc, just need to verify.

This may take an experience Python develop an hour to check, update and test.

We are a Salesforce and HubSpot consulting firm based in India, delivering expert CRM solutions to clients across the US and Europe. We’re currently looking for a detail-oriented and resourceful individual to assist with prospect data generation for our outbound sales campaigns.

Role Overview:

You will be responsible for sourcing high-quality prospect data using tools such as Apollo.io and LinkedIn. Your work will directly support our cold outreach efforts. We will provide access to all necessary tools and platforms.

Ideal Customer Profile (ICP):

Location: United States
Industries: Telecom, Professional Services (e.g., HVAC, Smart Home Security), Travel & Hospitality
Job Titles: CTO, CEO, Technical Architect, Practice Lead (key decision-makers)
Company Size: Small to mid-sized businesses (5–100 employees)
CRM Usage: Companies already using Salesforce or HubSpot (consulting firms excluded)

What We’re Looking For:

Proven experience with data scraping or lead generation using Apollo.io, LinkedIn, or similar platforms
Strong attention to detail and ability to follow specific targeting criteria
Ability to work independently and meet deadlines
Excellent communication and organizational skills

Additional Information:

This is a long-term opportunity with plans to expand targeting to the UAE and India in future phases
Expecting 500 prospect data as part of this job
Flexible work hours with remote working option
Competitive compensation based on experience
If interested can help with cold outreach and appointment setting as the next activity.

• Do you have experience generating prospect data for CRM services consulting companies?

I'd like to develop a program which can help me to verify emails automatically and save validated emails that are found. Please read the project descriptions carefully. If you think it is possible to get done, message me on Upwork. No spams please.