Budget: 88 USD Deadline: 2 days
Good day
Can we gather from LinkedIn
Everyone who has contact listed
Please reply
We need to scrape data from LinkedIn based on our list.
For each entry, we need to find and collect available data if it exists on the LinkedIn profile, including the profile picture on the LinkedIn social network, email address, links to social media, company website, and phone number. All this data is available on the LinkedIn business page.
If the response is written by AI, we will not respond to such a request.
Budget: 88 USD Deadline: 2 days
Good day
Can we gather from LinkedIn
Everyone who has contact listed
Please reply
Budget: 50 USD Deadline: 1 day
Hello. I am interested in your project and ready to implement it. We can discuss the details in messages.
Budget: 900 USD Deadline: 3 days
Good day! I work with Python and data collection automation. I can gather from your list on LinkedIn: photos, emails, phone numbers, social media links, company website — in a convenient format (Excel or Google Sheets). Please write how many entries and what format of the output file?
Budget: 25 USD Deadline: 2 days
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/
Budget: 30 USD Deadline: 3 days
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.
Budget: 195 USD Deadline: 10 days
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.
Budget: 97 USD Deadline: 1 day
Good day, I can scrape all the necessary information for you, there is a parser for LinkedIn.
Budget: 100 USD Deadline: 1 day
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.
Budget: 25 USD Deadline: 3 days
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?
Budget: 3000 USD Deadline: 5 days
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!
Budget: 100 USD Deadline: 1 day
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.
Budget: 25 USD Deadline: 1 day
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?
Budget: 60 USD Deadline: 3 days
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).
Budget: 100 USD Deadline: 3 days
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
Budget: 1000 USD Deadline: 3 days
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.
Budget: 600 USD Deadline: 5 days
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!
Budget: 150 USD Deadline: 2 days
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.
Budget: 25 USD Deadline: 1 day
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.
Budget: 100 USD Deadline: 1 day
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.
Budget: 108 USD Deadline: 1 day
Good day, I can scrape any data that is available on the pages you need. Message me privately for details.
Budget: 25 USD Deadline: 1 day
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.
Budget: 15000 USD Deadline: 7 days
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.
Budget: 333 USD Deadline: 3 days
Good day! I can complete it without any unnecessary questions. I am waiting for the full specifications, and we will get started. The price and deadline are approximate until I have full information.
Good morning,I will commission the creation of a stable and reliable solution for automatically monitoring prices and availability of products from a specific large Polish online store in the RTV/AGD sector.Project goal: The system must regularly check selected product links and, in case of a price change or availability status, send a notification (preferably via Telegram, Discord, or email – to be determined).Challenge: The store's website has very aggressive anti-bot systems (Akamai/Cloudflare). Ordinary scripts that fetch the page code are immediately detected and blocked. The solution must effectively bypass these protections, mask bot traffic, and operate stably over the long term, without constantly throwing "Access Denied" errors.What I expect from the contractor: Proposing a complete architecture and technology (I do not impose a programming language or specific tools). Delivering a ready-made solution that I can easily launch and manage. Suggestions regarding infrastructure (e.g., what proxies will be necessary for the system to operate smoothly).In response to the announcement, please briefly describe: What approach/technology do you propose to effectively and sustainably bypass the store's protections? How do you see the issue of sending notifications? What is the estimated cost of execution and time of completion?I invite you to submit your offers.
About the Company Trading company. We work with a product group of more than 2000 items across different categories.Current Situation Currently, the nomenclature is maintained in Google Sheets — data is consolidated by tabs (categories). Tab Structure: Product name Price groups: cost price, wholesale, retail Characteristics: weight, quantity per package, etc. Important: the number of columns varies for different product categories, as they have different characteristics.Why the Current Solution is Inadequate Google Sheets does not allow setting access rights at the level of individual columns. We need to: Grant users rights to view certain columns (for example, only cost prices) Grant rights to edit certain columns (for example, retail prices) While restricting access to other columns in the same tabWhat Needs to Be DoneMain Requirements Flexible Rights Management System Access at the level of individual columns (read/write) Assignment of rights by roles or users Management of rights without the involvement of programmers Support for Different Data Structures Different product categories have different sets of characteristics Adding new columns/characteristics without programming Independence from Developers Administration by internal staff Adding categories, columns, users — through the interface Integration with ERP Exporting current prices to our ERP system Export or automatic integration via API Data Analysis Using AI (preferably) Ability to analyze the entire nomenclature list Enrichment, verification, recommendations — if you have ideas, please describeExpected Result A working solution in which: The nomenclature is structured by categories with different sets of characteristics Column rights are flexibly configured (view/edit) Data is exported to ERP The team can manage the system independentlyWhat We Need from You When Responding Describe in general terms how you envision the solution: What tool/platform do you propose
A simple program or Telegram bot is required for parsing participants of chats and discussions in Telegram channels. Functionality: The user enters a link to the channel or chat. If a link to a channel is provided, the program should automatically navigate to the "Discussions" section and perform parsing specifically for discussion participants. The result should export only unique links to user profiles without duplicates. Additional selection requirements: Only users with their own public channel specified in their profile should be included. The user's channel must have at least 200 subscribers. Users with smaller channels are not suitable. A maximally simple and convenient tool is needed: just paste the link and start collecting data based on the specified criteria. I am not a programmer, so I would appreciate an assessment of the feasibility of such a solution and your suggestions for the optimal way to develop it. Standard parsers are not of interest to us — the implementation of the logic described above is required. Responses to your proposals may be within a day.
Good evening, there is a task: you need to check the availability and relevance of the prices of products added to the website (the website is on the prom.ua platform) from the supplier's site 1-2 times a day. Can you calculate the price and how it will look?
Set up automatic daily updates of product availability on our website on prom.ua. We have a supplier who sends a price list of products in Excel format to our email every day. The items on our website and in the supplier's price list are the same. The values in the "stock" column are either out of stock, a number, or more than a box - these need to be updated on the site to either Ready for shipment or Out of stock. Items that are not in the supplier's price list should remain unchanged. Please propose a solution, timeline, and budget. Thank you in advance for your response, I look forward to collaborating with a specialist.