Targeted Lead Scraping Needed

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@Tanmoy236

Warm greetings! I specialize in structured lead research, data extraction, and prospect intelligence using compliant OSINT-style collection methods. With 9+ years of experience in Python automation, data validation, and Excel-ready reporting, I focus on delivering clean, deduplicated, analysis-ready datasets with consistent formatting and verified fields. Here's how I can help: * Extract targeted leads from LinkedIn, Google, business directories, and public sources * Deliver clean Excel workbooks optimized for filtering and pivot analysis * Use Python (Selenium, BeautifulSoup, Pandas) and structured enrichment workflows * Apply validation checks for duplicates, formatting consistency, and field accuracy For rate limits and CAPTCHA handling, I rely on compliant pacing, session management, and publicly accessible data workflows rather than aggressive scraping methods. Initial delivery for 1,000 leads can typically be completed within 24–48 hours depending on filters and enrichment depth. Could you share the target industry, geography, and required data fields for the sample batch?

@hdlan

Hi, I am a highly experienced professional from Vietnam, specializing in data entry, LinkedIn, Apollo, and web research. I'd be happy to help you gather contact details according to your requirements. I can handle projects of any size, starting with an initial batch of 1,000 leads. I am more than willing to provide a sample for you to assess the quality of my work. To showcase my capabilities, please refer to my similar projects here: https://www.freelancer.com/projects/internet-marketing/Get-contact-information-companies https://www.freelancer.com/projects/research/Online-Company-Research-31064800 https://www.freelancer.com/projects/data-entry/Get-contact-information-companies https://www.freelancer.com/projects/data-entry/Contact-details-38712127 https://www.freelancer.com/projects/leads/Need-Contact-Leads-Email-list https://www.freelancer.com/projects/data-entry/Find-email-25178612 I am available online for the majority of the time and strive to respond to your messages promptly within a timeframe of 12-24 hours. How may I be of assistance in compiling the desired contact list for you? Best regards, Duong

@brashel

Dear Hiring Manager, I’ll deliver a clean, verified 1,000-lead dataset using Python (Selenium/BeautifulSoup), Phantombuster, and enrichment tools with strict deduplication and validation. Structured Excel, clear sourcing notes, and fast turnaround. Best regards, Siddiqur Rahman.

@nkrsasnaa

Dear client, I am a lead generation specialist and will scrape the required data for you using python script. For captchas I will use some cheap proxies to gather the data. I am happy to share sample before moving to complete project. Let's connect. Thanks!

@Herculesz

Hi I can help extract and deliver a clean, accurate prospect list in a well-structured Excel workbook ready for filtering, sorting, and pivot-table analysis. The main technical challenge is collecting reliable lead data from sources like LinkedIn, Google, and Facebook while avoiding duplicates, inconsistent fields, invalid contacts, and low-quality records. My approach would use compliant methods with Python, Selenium, BeautifulSoup, Pandas, Google search operators, enrichment tools, and Excel formatting depending on the agreed source and criteria. I can structure the workbook with consistent columns for email, phone, job title, company, location, source URL, and validation status. For quality control, I would normalize company/contact names, remove duplicates, verify formatting, flag missing or uncertain fields, and keep a short log of the collection and enrichment process. I also handle rate limits carefully by using reasonable request pacing, manual review where needed, and avoiding any method that violates platform rules. Thanks, Hercules

@koolvishruth

As an experienced technologist with a focus on data analysis, mining, and processing, I am perfectly suited for your Targeted Lead Scraping project. I've honed my Web Scraping skills using powerful tools such as Selenium, BeautifulSoup, Scrapy alongside advanced Python scripting for automating every aspect of data extraction, handling rate limits and CAPTCHA challenges with ease while strictly adhering to platform policies. Exceedingly proficient in deploying these systems on the cloud and dedicated to maintaining clean, maintainable code throughout.

@tmoi06

Hello Sir, I can extract and organize a clean, verified prospect database from sources like LinkedIn, Google, Facebook, and public business directories while maintaining strong consistency and data accuracy. I’ve worked on similar lead-generation and data-enrichment projects where I sourced targeted contacts, cleaned datasets, removed duplicates, and structured final Excel files for filtering, CRM import, and analysis workflows. ✅ My preferred workflow typically combines: ✔ Python-based extraction and enrichment workflows ✔ Public-source research and structured data collection ✔ Manual validation for critical fields ✔ Final deduplication and formatting checks before delivery I focus heavily on maintaining clean column consistency, accurate spellings, and properly verified contact details while respecting source limitations and avoiding aggressive scraping behavior. Estimated turnaround for an initial 1,000-lead batch: approximately 2–4 days depending on targeting complexity and enrichment depth. I can also provide a small sample batch first so you can quickly review the data quality, structure, and validation standards before scaling further. Thanks Ayan

@ezauf

Hello Pythong Scrapping Expert Here. I am a seasoned Software Engineer with over 9 years of diverse experience in developing and delivering a wide range of applications. My expertise spans both Front-End and Back-End development, enabling me to create scalable, optimized, and secure software solutions tailored to meet your specific needs. I would welcome the opportunity to discuss your project in detail. Please feel free to reach out for a complimentary consultation to explore how we can collaborate and elevate your project to new heights. Thank you for considering my proposal. I look forward to the possibility of working together. Best regards, Esau

@hoangnn90

✅Full Experience in Web Scraping and Data Extraction with Python Programming(Selenium/BeautifulSoup)✅. ✳️I am very confident that complete your project perfectly. ✳️I can guarantee the quality of the job and deliver the result on time. I hope we will discuss in more detail via chat. Best regards!

@mattafareed4848

Hi, I can provide a clean, verified Excel list from LinkedIn, Google, Facebook, and company websites based on your target filters. Tools: • Python (Selenium, BeautifulSoup) • Phantombuster / Apify • Excel cleanup + deduplication I handle rate limits with controlled scraping, delays, and session rotation to maintain accuracy and avoid blocking. For validation, I remove duplicates, verify formatting, and manually spot-check data quality. Turnaround for 1,000 leads: 24 hours. I can also send a small sample first. Best, Muhammad

@Feriver

Hello, I’ve reviewed your requirements and understand you need a highly accurate and structured lead scraping solution that compiles targeted prospects from sources like LinkedIn, Google, and Facebook into a single clean Excel workbook, with strict attention to data quality, consistency, and deduplication across all records. I will design a controlled scraping and enrichment workflow using Python-based tools (Selenium and BeautifulSoup where appropriate, combined with structured parsing and optional enrichment APIs if required) to extract only relevant leads based on your defined filters. The pipeline will include normalization of company and contact data, duplicate removal across multiple sources, and strict column consistency so the final Excel file is fully analysis-ready for filtering, segmentation, or CRM import. I’m ready to start immediately and can first deliver a verified sample batch of 1,000 leads to validate accuracy, structure, and relevance before scaling. Please share your targeting criteria so I can align the extraction logic precisely and ensure high-quality output from the first run. Thanks, Asif

@emilesd617

Hi, I am a lead generation and data scraping specialist with 8 years of rich experience in software development, with a background in Python scraping, data mining, Excel data cleaning, and prospect list validation. I am familiar with Python, Selenium, BeautifulSoup, Excel, data enrichment, and duplicate removal workflows. For this project, the most important part is delivering clean and verified leads instead of just collecting raw scraped data. I can scrape targeted prospects from agreed sources, validate fields like email, phone, title, and company, remove duplicates, and deliver a well-structured Excel file with a short method log. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@Ekarthaan

Hi Isa Y., Last week I did a very similar lead scrape for US B2B using Google + public LinkedIn pages, so I’m confident to handle this really well. i would like to know the below. - What email policy do you prefer: only verified personal work emails, or also role/generic? Max allowed bounce rate? - Any source limits (e.g., no logged‑in LinkedIn)? Can I use SerpAPI/Hunter/Clearbit for discovery/enrichment? I think we should. - Use Google/SerpAPI to find targets, then crawl company sites and public profiles; this cuts CAPTCHA and boosts accuracy. - Lock a strict column schema with a built‑in validator for names/phones/dupes, so Excel stays pivot‑ready. Lets follow a plan like this. 1) I set up a Python pipeline (Scrapy/Requests/BS4 + Playwright when needed) and the data schema. 2) I pull a 200‑row pilot, share the Excel and a short method log for approval. 3) I enrich + verify (Hunter API + SMTP pings + NeverBounce), normalize phones, fix casing, remove dupes. 4) I deliver 1,000 clean rows in one workbook + the method note, then adjust on feedback. Tools: Python first; Phantombuster/Octoparse only if a target blocks headless. Rate limits/CAPTCHA: polite pacing, rotating UAs, retries, caching; no credentialed scraping; prefer APIs to avoid blocks. Turnaround for the first 1,000: 24–36 hrs

@TheSecondSource

Greeting! You need highly accurate prospect data gathered from multiple sources and delivered in a clean, analysis-ready Excel workbook without duplicates or inconsistent formatting. We are a team of 62 professionals with over 9 years of experience in lead generation, data extraction, and structured data enrichment. Here's how we can help: * Collect targeted leads from LinkedIn, Google, Facebook, company websites, and niche directories * Deliver a fully cleaned Excel workbook with standardized columns and deduplicated records * Capture key fields including email, phone, job title, company, location, and custom attributes * Validate data quality through manual review, format checks, and duplicate detection * Provide enrichment notes and sourcing transparency for easier downstream use * Scale efficiently for ongoing batches after the initial 1,000 leads Preferred tooling: Python (Selenium, BeautifulSoup, Playwright), Phantombuster, Apollo enrichment, and structured validation workflows in Excel/Sheets. We handle rate limits carefully using compliant pacing, rotating sessions where appropriate, and prioritizing publicly available/business-accessible data to avoid disruptions. Turnaround: 1,000 validated leads within 2–4 days depending on complexity and enrichment depth.

@mayankinnovative

Hi, As per my understanding: You need a high-quality lead extraction and enrichment process that gathers accurate prospect information from sources such as LinkedIn, Google, Facebook pages, or other public business directories based on your target segments, keywords, and location filters. The final output must be a clean, deduplicated, and consistently formatted Excel workbook suitable for direct business use, filtering, and further analysis. Implementation approach: I will use a structured data collection and validation workflow combining targeted scraping, enrichment, and manual quality checks to maximize lead accuracy and consistency. Depending on the source complexity and restrictions, I can work with Python-based automation tools such as Selenium and BeautifulSoup, or managed extraction tools like Phantombuster and Octoparse where appropriate. The collected data will be normalized, deduplicated, validated for formatting consistency, and organized into a structured Excel workbook with clearly defined columns for contacts, companies, titles, emails, phone numbers, and additional requested attributes. To maintain reliability and compliance, I avoid aggressive scraping practices and instead use controlled request pacing, public-source extraction, caching strategies, and source rotation where necessary. Validation steps include duplicate detection, formatting checks, domain/email verification where possible.

@Sumyasuma

Hi, I can deliver a clean, accurate, and fully structured lead database based on your target segments, keywords, and location filters. My focus is always on data quality, consistency, and verification. ✔ Preferred Tools & Stack: Python (Selenium, BeautifulSoup, Playwright) Phantombuster / Octoparse where appropriate Pandas for cleaning, deduplication, and formatting ✔ How I Handle Limits & Stability: Respectful rate limiting and session management Rotating headers/proxies when required Human-like request pacing to reduce CAPTCHA triggers Focus on compliant public-data extraction workflows ✔ Validation Process: Deduplication checks Email verification (when required) Manual spot-checking for accuracy Consistent formatting across all columns ✔ Turnaround: Initial 1,000-lead batch: 24–48 hours Includes structured Excel workbook + scraping/enrichment notes ? I can also provide a small sample first to confirm data quality and formatting before scaling. Best regards, Sumya

@sabaehsan

Greetings, I see you're looking for someone to gather a precise list of leads, ensuring high data quality and a well-organized Excel workbook. My approach would involve using tools like Python with BeautifulSoup for effective scraping, ensuring I gather the information you need while adhering to platform policies. I'll focus on the criteria we agree on, capturing essential details like emails, phone numbers, job titles, and more. To maintain data integrity, I’ll implement validation steps to eliminate duplicates and ensure correct spellings throughout. I'll also provide a brief log detailing the scraping methods used and any steps taken to enrich the data. With my experience in data scraping and processing, I'm confident I can deliver an accurate and valuable list for your needs. Best regards, Saba Ehsan

@codefusion53

Hi I can deliver a highly accurate and well-structured lead list tailored to your criteria, with a strong focus on data quality, consistency, and zero duplication. I use Python based scraping workflows with tools like Selenium and BeautifulSoup, combined with trusted enrichment sources to gather verified emails, phone numbers, and company data. To handle rate limits and platform restrictions, I follow ethical scraping practices using request throttling, rotating sessions, and compliant data extraction methods to ensure reliability without risking data integrity. Each dataset goes through a validation pipeline including format checks, duplicate removal, and optional email verification for higher accuracy. You will receive a clean Excel workbook with consistent columns, ready for filtering and analysis, along with a clear summary of the scraping and enrichment process. I can provide a sample set quickly and deliver the first 1000 leads within a short turnaround while maintaining precision. Best, Justin