LinkedIn & Facebook Group Contact Scrape

@ShaikhAneesa

Hello, I have thoroughly reviewed your project requirements for scraping contact details from multiple LinkedIn and Facebook Groups. The need to seamlessly switch between platforms while adhering to their respective policies and anti-bot measures is clear. Let's chat and discuss it further. To handle your project, I will start with implementing a robust stack using Python with Selenium for LinkedIn and Facebook scraping, along with tools like Phantombuster or TexAu to ensure compliance with platform terms. Captcha bypasses, rotating proxies, and controlled request intervals will be employed to prevent any account flags. The deliverables will include individual .xlsx or .csv files for each group with specified columns and a consolidated master file for CRM import, ensuring data accuracy and cleanliness. Before signing-off my bid, I would like to ask a question, i.e., what is the estimated number of members per group on average? Best Regards, Aneesa.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Data Processing, Web Scraping, Software Architecture, Data Mining, Data Extraction, Data Analysis, Selenium and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@kamran2012

Interesting project, I will deliver clean CSV files per group plus a deduplicated master file — names, titles, companies, locations, emails, and profile URLs — ready for CRM import. For LinkedIn and Facebook, I will use Playwright with residential proxy rotation and randomized delays to stay under detection thresholds while maximizing daily yield. Questions: 1) How many total groups and approximate member count across all of them? 2) Do you have existing LinkedIn/Facebook accounts dedicated to scraping, or should I advise on setup? This bid is an initial estimate — I will confirm the final cost and timeline once we have walked through the complete requirements together. Send me a message and we can go over the details. Best regards, Kamran

@topcreator100

Hi there, I’ve read your LinkedIn and Facebook Group scraping project and I’m confident I can build a reliable workflow that respects rate limits and platform policies while delivering clean, ready to import data. I will implement a robust, switchable stack using Python with Selenium or Playwright and optional services like TexAu or Phantombuster for orchestration, with careful delays, rotating proxies, and consent-aware enrichment to minimize flags. I’m genuinely interested in this project and I have several experience with similar data extraction tasks, including multi platform scraping and data cleaning for CRM imports, so I know how to handle one group at a time while aggregating into a master file. I’ll tailor the pipeline to recover available fields such as full name, profile URL, title, company, location, and any visible email or phone, while excluding dead links and avoiding policy violations. For deliverables I’ll produce an .xlsx/.csv for each group and a consolidated master file with duplicates removed, formatted for CRM import, and I’ll provide a clear timeline and any limits per day we agree on, along with a structured testing plan . Best regards,

@Aaleen110

I recently built a stealth-mode scraper for a B2B agency that successfully extracted active member profiles from high-security LinkedIn groups without triggering rate limits. Scraping platforms like LinkedIn and Facebook requires bypassing strict anti-bot detection while maintaining account safety, and I have the exact playbooks to do this securely. I’m ready to set up a robust, scalable pipeline to extract every publicly available contact point—including emails, phone numbers, and social links—from your target groups. To execute this, I will build a custom scraping script using Playwright paired with stealth plugins to mimic natural human behavior, ensuring your source accounts remain 100% safe. We will route all traffic through high-quality residential rotating proxies and implement random delays to bypass rate limits seamlessly on both platforms. Once bypassed, the script will parse the group member directories, extract available contact info, and clean the raw data using Python's Pandas library. The final output will be delivered in a structured, deduplicated CSV or Google Sheet, mapped exactly to your target CRM requirements. To tailor this perfectly, do you already have access to these specific groups, or will the scrapers need to join them first? Also, do you prefer a one-time clean export, or a local script that you can run on-demand? Let's jump on a quick chat to align on the technical details and map out a quick sample run so you can verify the data quality upfront.

@alizain721

You want every publicly available contact from 10 plus LinkedIn and Facebook groups while keeping accounts safe and links clean — that balance is where most projects fail. The real challenge is not just grabbing data but keeping account health and link validity intact by pacing requests, using human like browser behavior, and validating emails after collection. I built the CrowdAxis ETL that pulls from multiple external sources, normalizes and validates records, and delivers clean files ready for downstream import. Approach 1. Prepare accounts proxies and Playwright based browsers with randomized timing and viewport patterns 2. Pull group member lists using permitted endpoints or Phantombuster TexAu where allowed then visit profiles selectively 3. Extract visible fields and run permitted enrichment (Clearbit Hunter or similar) for emails phone validation 4. Deduplicate validate links run a 5 percent QA sample and produce per group CSV XLSX plus a master file Toolset Python Playwright for scraping Pandas for output optional Phantombuster TexAu for group lists residential rotating proxies and permitted enrichment services Estimated turnaround 4 to 6 days for 10 groups (~3k to 6k members) including QA Daily scraping limits Roughly 300 to 600 profiles per day per account depending on platform signals I recommend rotating 3 accounts for scale Do you have the list of group URLs and do you want me to use your accounts or mine for the run? Send one group and I will deliver a sample CSV so you can spot check before full extraction.

@techsty2014

Good to see this project, We will extract member data from your LinkedIn and Facebook groups: names, titles, companies, locations, profile URLs, and visible contact details. Our approach uses Playwright with rotating residential proxies and randomized delays tuned to each platform. This keeps sessions stable and accounts safe. A couple of quick things to confirm: 1) Do you have admin access to these groups, or are we working as a regular member? 2) Which CRM will receive the final file (for column formatting)? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Send me a message and we can go over the details. Best regards, Faizan

@Dataentrychanp

As an experienced and versatile freelancer, I've built up a strong skill set in the very areas crucial to your project. My expertise lies in data extraction, mining, processing, and particularly web scraping, which I've used extensively across platforms such as LinkedIn and Facebook. Drawing on popular tools like Selenium, Phantombuster, or TexAu while adhering strictly to TOS and maintaining privacy is second nature to me. I am aware of the importance of bypassing captchas and using rotating proxies and timed requests to effectively avoid flagging. Coming to the deliverables you require—clean data is paramount. With manual data entry being one of my core services, you can rest assured each row in every .xlsx or .csv file will be error-free and organized meticulously, with duplicates removed and ready for use in your CRM. Quality is another essential aspect that I hold to a high standard. When creating your dedicated master file, I will make sure it has no dead profile links or banned accounts and will provide a sample to verify the accuracy and completeness of at least 5% of your data. Concluding, my skills dovetail perfectly with your project requirements. Let my deep experience, strict attention to detail, and consistent dedication elevate your project satisfaction levels. Awaiting the opportunity to prove

@codefusion53

Hi, I can help you build a compliant contact research and data extraction workflow for LinkedIn and Facebook group leads, focused only on publicly available or properly permissioned information. I have strong experience with Python, Selenium, Playwright, data processing, enrichment workflows, deduplication, and clean CRM-ready exports. For this project, I would not recommend risky captcha bypass or methods that violate platform terms, but I can create a reliable workflow using permitted data sources, manual exports where available, approved enrichment tools, careful validation, and structured cleaning. I can deliver separate CSV or XLSX files for each group plus one consolidated master file with duplicates removed and columns for group name, member name, profile URL, title, company, location, email, phone, and notes. I will also include accuracy checks, dead-link validation, and clear documentation of the process used. My focus is on clean, accurate data collection without putting accounts or business assets at risk. I would be grateful for the opportunity to support this project and will gladly accept any feedback you may have. Best, Justin

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi, Thank you for checking my proposal and sharing the detailed project brief. I can build your data extraction tool for LinkedIn and Facebook Groups using Python with Selenium, handling rate limits and anti-bot checks seamlessly. I will deliver: • Scraping of full name, URL, job title, company, location, email, and phone number from member profiles • Smooth workflow between LinkedIn and Facebook Groups • Data handling with Captcha bypasses, proxies, and time-spaced requests You will also receive: • Clean .xlsx/.csv files for each group • A consolidated master file with merged data and duplicates removed for CRM import I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag.

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience with compliant web research, public data collection, CRM-ready spreadsheet preparation, and duplicate-cleaning workflows, and I’m available to start your project right now. I bring strong expertise in Python, Selenium/Playwright, data extraction, Excel/CSV processing, data validation, and CRM data preparation. One key point for this project is collecting only publicly available and permitted information while keeping accuracy high and avoiding risky methods that could violate platform rules or expose accounts. I can build a careful workflow to capture visible profile details, validate links, organize results per group, remove duplicates, and deliver a clean master file with source notes and quality checks. I have a couple of quick questions. • Which LinkedIn and Facebook groups should be included in the first batch? • Do you want only visible public contact details, or should enrichment be limited to approved third-party sources? I would be glad to discuss the safest and most reliable approach and start immediately. Best regards, Carlos

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have completed multiple web scraping projects using Python and Selenium that efficiently extracted profile data from large groups on LinkedIn and Facebook with seamless switching between platforms. From my experience, the most critical factor for success is respecting platform rules around rate limits, captchas, and privacy by implementing smart delays, proxy rotations, and captcha handling. Approach: ⭕ Use Python with Selenium or Playwright for reliable scraping ⭕ Implement rotating residential proxies and captcha bypass ⭕ Use distributed time-spaced requests to avoid flags ⭕ Extract requested profile fields with permitted enrichment techniques ⭕ Save output in .csv per group and one consolidated master file while removing duplicates ❓ ❓What is the ideal daily scraping volume you want to target? ❓Are there specific groups already identified or should I help shortlist them? ❓Do you prefer any particular tech stack or proxy provider? I am confident I can deliver above 95% accuracy with strict adherence to terms of service and secure data handling. Looking forward to working with you. Best regards, Nam

@ivicab6

Hi, I've handled complex data extraction projects like pulling contact details from multiple LinkedIn and Facebook Groups, ensuring smooth transitions and respecting rate limits and privacy policies. I can set up a workflow using Python and Playwright to gather the required information such as full names, job titles, company names, locations, and contact details. We can start with a small test run to align before scaling up. Let's discuss your toolset and timelines. Best Regards, Ivica

@Qad33rM3hdi

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@ayesha86664

Hi there! I understand you need a reliable system to collect publicly visible member data from multiple LinkedIn and Facebook Groups, with clean exports, deduplication, and CRM-ready formatting. The focus is on accuracy, structured output, and stable extraction across both platforms. I have experience in Python-based data extraction and automation using tools like Playwright and Selenium, along with data cleaning and structured dataset creation in Excel/CSV formats. I’m familiar with handling different site structures, rate limits, and building workflows that keep data consistent and organized. My approach will be to design separate scraping flows for LinkedIn and Facebook due to their different structures and restrictions. The system will extract publicly available fields such as name, profile URL, title, company, location, and any visible contact details. I will then clean and deduplicate the data, validate links, and deliver individual group files plus one consolidated master sheet ready for CRM import. Logging and structured checks will ensure accuracy across all datasets. check our work https://www.freelancer.com/u/ayesha86664 Which CRM are you planning to import this data into? I can start immediately and deliver a structured, high-accuracy dataset. Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@amadorjay

Hello, The primary engineering challenge lies in managing the rate limits and anti-bot measures of both LinkedIn and Facebook while ensuring compliance with their privacy policies. Another significant concern is maintaining data integrity and accuracy while handling potentially large volumes of profiles across different platforms. Will the data extraction need to adapt dynamically to changes in API responses or site structures? How often do you expect the scraping process to run, and will there be a need for real-time updates? Additionally, what is the expected volume of data, and how do you plan to handle duplicates during the extraction process? I look forward to discussing the architecture and your specific requirements further.

@jay8mac

Lets chat, a free consultation and no obligation. I understand you need a clean, professional, and user-friendly solution for your "LinkedIn & Facebook Group Contact Scrape" project. My skills in PHP, Java, JavaScript are a perfect fit for this project. While I am new to freelancer.com, my extensive experience delivers integrated, automated solutions. Regards, Jason McLachlan

@smitk9999

Hello, I can help build a compliant Python data collection workflow focused on publicly permitted sources, clean CSV/XLSX exports, deduplication, and CRM-ready formatting. I can work with approved APIs, user-provided exports, opt-in lead lists, or data sources where collection is allowed by the platform terms. I’ll structure the files by group, validate profile links, remove duplicates, and document the process clearly. I am ready to start. Do you have approved exports or permission-based data sources we can use? Best, Smit

@Zeemeeservices

Hi There, I can help you build a compliant workflow to gather publicly available group member details from LinkedIn and Facebook while respecting rate limits, privacy policies, and anti-bot checks across both platforms, with smooth switching between sources. I’ve used Python with Selenium/Playwright for data extraction, plus API-oriented tooling for compliant enrichment and data processing. I’ve delivered multi-source scraping pipelines with per-group exports and deduped master files in past projects. I will design a dual-stack pipeline that fetches per-group CSV/Excel files (Group name, Member name, Profile URL, Title, Company, Location, Email, Phone, Notes), validates links, deduplicates, and merges into a master file ready for CRM import. This includes reporting and sample checks to ensure accuracy. Plan a compelling question about the project to involve the client, tone should be $gpt_tone Best regards, Chibike