Need to scrape data from LinkedIn

Good day! I have experience in parsing LinkedIn, so I am well aware of all the limitations and risks of account blocking. You can check my profile on my website: https://anton-developer.netlify.app/

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Good day.

I have experience in collecting and processing data from LinkedIn, as well as verifying company contact information through open sources. I am ready to work with your list and gather available data for each entry: links to profiles/pages, photos, company websites, contacts, and any other open information, if available.

I would be happy to discuss the details.

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Hello. I have gathered data from LinkedIn based on a list of companies and people several times, the last project involved a few thousand records using Python, Playwright, proxy rotation, and rate limit bypassing. For your task (photos, email, social media links, phone, website), realistically, the coverage is 60-80 percent for photos and company profiles, 30-50 for the company website and social media, and usually 10-30 for email and phone (LinkedIn hides them, only what is publicly available in the profile or in the About section of the company is accessible).

To provide an accurate price and timeline, I need to understand the volume (how many records in the list), the format of the input list (CSV with name and company, or already with profile URLs), and where to deliver the results (CSV, Google Sheets, your database). If you have a sample file, I can take a look and give realistic figures, not just a guess.

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Good day, I can scrape all the necessary information for you, there is a parser for LinkedIn.

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Good day.

I have experience working with parsing and enriching data from open sources, including LinkedIn and company websites.

I can gather available contact information from your list: email, company website, social media links, phone numbers, and other publicly available information, as well as save the results in a convenient format (Excel/Google Sheets).

Before starting, I would like to see the volume of the list and a few examples of entries to accurately assess the timeline and cost.

I am ready to discuss the details.

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Hello Roman.
I am writing the text myself, without using chatbots, as the task with LinkedIn requires thinking, not template scripts. Collecting photos, emails, websites, and phone numbers from your list of business pages is a clear task, but standard libraries like BeautifulSoup or requests, which you will see mentioned in bids, will get banned by LinkedIn's captcha around the 15th link. We've been through this. LinkedIn has tightened its screws more than anyone else on the web.
I will be parsing with Playwright, emulating a clean browser (hiding automation, spoofing fingerprints). Plus, I will connect session rotation through cookies and high-quality residential proxies so that the system sees the accesses as coming from ordinary unique users. I will download profile pictures and contacts without losses.
I will need to understand the volumes: how many total rows are in your list? This will determine how many clean accounts we will need to rotate to collect everything quickly and without blocks.
I will deliver the result in a clean Excel file — with all columns, links to downloaded photos, and structured phone numbers. I will provide a more accurate estimate on the budget once I look at the volume of the list. I am ready to do a test collection on 3-5 of your links right now so you can see the data structure. Send the file in private, and we will discuss.

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Hello! I haven't been on this site for long, but I have experience in data parsing. I can complete your order. I would like to clarify how many accounts need to be parsed and in what format you would like the data presented?

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Good day!

I understand that you need to scrape data from LinkedIn profiles based on your list.

What I will do:
— Collect available data from LinkedIn profiles, including photos, email addresses,
— Find links to social media and company websites,
— Gather contact phone numbers, if available.
— Use Python and libraries for scraping (BeautifulSoup, requests).
…
I work quickly and efficiently, always in touch. Ready to complete the task "turnkey".

How many records need to be processed? This will help me assess the scope of work.

I look forward to your response!

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Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task in the shortest possible time.

I suggest discussing the details in private messages.

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Hello, I have had similar tasks involving data collection and structuring from lists. I will gather available information from LinkedIn, verify it, and prepare it in a convenient format. Could you please let me know how many profiles are in your list?

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Good day, Roman. My main specialization is data collection, processing, and analysis, including the B2B segment (firmographic and technographic data, contact information, employee information). In my work, I use AI tools (Deep Research mode), professional platforms (Clay.com and similar), specialized databases, which ensures high quality and accuracy of information.

An example of a similar task can be found at this link https://docs.google.com/spreadsheets/d/13JZEa9i1ElABL7J6UyGxOIE1BtQlBaf_9Qq6wzuKAhE/edit?usp=sharing. If necessary, the data can be presented in other formats (graphs, charts, etc.).

The minimum order amount (or test) is 2500 UAH, with a timeframe of 2-3 days.

--------------------List of all my services----------------------------

🔍 Potential client search – data collection and creation of a database of potential clients (companies and their employees) based on necessary criteria, including contact information (phone numbers, email, social media profiles).
…
🤖 Communication and interaction automation – setting up IT solutions for "warming up" accounts and communicating with clients (current or future) using modern software solutions (including AI/ML).

📣 Promotion on LinkedIn: optimization and promotion of profiles (personal and corporate), searching and analyzing competitor profiles, expanding the network of contacts, setting up paid advertising (LinkedIn Ads).

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Hello! I am ready to complete your project. I have experience in collecting B2B contacts, particularly from LinkedIn. Example of work: https://docs.google.com/spreadsheets/d/1p7hpi0KrV2LLFmT5q6oswaeBKSD-KoEW/edit?usp=sharing&ouid=102572697027067735953&rtpof=true&sd=true

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Good day!

I am ready to professionally scrape data from LinkedIn based on your list. I have experience working with scraping complex resources, using proxies and bypassing protections. I will collect all the specified data: photos, emails, social media, company website, phone numbers.

Please message me for clarification of details.

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Good day!
Data collection directly from LinkedIn (especially profile photos and business page contacts) requires mandatory emulation of a real browser, as the platform is strictly protected against regular cURL requests and all content is rendered via JS.
I am implementing this solution on a pure PHP stack using Symfony Panther or Headless Chrome (via Spatie Browsershot).
Here’s how the architecture of the parser will be built:
1. Multithreaded queue (Laravel Queues + Redis). Processing a large list in a single thread will take too much time. The system will split your list into parallel tasks, each of which launches its own isolated instance of a headless browser.
2. Proxy rotation and behavior emulation. To avoid instant captchas and blocks from LinkedIn, I connect residential rotating proxies. The script simulates random delays of a real user before reading the DOM tree.
3. Parsing and export. The script extracts direct links to photos, open emails, phone numbers, and websites from business pages, then generates a clean, validated JSON or CSV file.
4. Data cleaning. Before saving, the data undergo normalization (removal of duplicates, cleaning special characters in strings using PHP tools).
The cost of developing and setting up the system for your list: $400–$600.
… Implementation time: 4–5 working days.
I am ready to take a test of 10–20 entries from your list to demonstrate the speed of work and the structure of the final file on my stack. Looking forward to chatting!

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Good afternoon, I have been working in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WordPress, OpenCart, CodeIgniter, etc.

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Good day!

I am parsing LinkedIn for similar tasks — I will go through your list and gather what is actually available on the profiles: photos, links to social networks, company website, and where available — email and phone.

Just to be honest right away, so there are no misunderstandings later: on LinkedIn, email and phone are often hidden — they are not visible to everyone. I will collect what is open; where contacts are not accessible, the field will remain empty. Photos, website, and social networks are usually retrieved without issues.

On the technical side: I work through a proxy + delays, as LinkedIn limits automated collection at scale. I deliver the results in CSV or JSON, whichever is more convenient.

How many entries are in the list and in what format do you have it? I will take a look — I will provide realistic timelines.
…
I will provide free consultation on the project in private.

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Good day. I am also placing a bid here, not AI)

I have extensive experience in web project development using PHP and Python, data processing automation, integrations with external services, and working with large data sets. I have also worked with data parsing from open sources, processing results, and further structuring them for use in business processes. In my time, we maintained networks of MFA websites from parsed data of companies.

Automated data collection using Python (Selenium/Scrapy, we will see what fits);
verification of matches by full name, company name, address, state, and additional attributes;
deduplication and assessment of the reliability of found results;
formation of structured results in JSON or CSV formats.

… In terms of technologies, I have experience with Python, Selenium, SQL, REST API, data processing, and business process automation. I also have significant experience working with legacy systems and projects where it is necessary to quickly understand the logic of processing large volumes of data.

I am ready to discuss the details, expected volumes of records, and requirements for data matching accuracy.

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Good day, I can scrape any data that is available on the pages you need. Message me privately for details.

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Good day! I can help you with parsing, I will do it through JS directly in the browser, or through Python Selenium (using XPath). I have done similar work before, but as a task in my main job, not as separate projects. The task looks simple, I am ready to start today.

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Good day! We have experience in developing parsers for social networks and bypassing anti-fraud systems. We implement this through the use of proxy servers and automated browsers to collect data from LinkedIn profiles. We guarantee the structuring of the obtained information in a format convenient for you.

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