Social Media Text Scraping

@muneeb6767

Hi, Muhammad Muneeb here. I can build a reliable, reusable Python scraper that captures public posts, comments, and metadata from your specified platforms, then cleans and structures the data into CSV/JSON ready for analysis. With strong experience in Scrapy, Selenium, and BeautifulSoup, I’ll implement stable navigation logic, rate-limit compliance, and resilient parsing to avoid data loss. The pipeline will include advanced cleaning (emoji removal, deduplication <1%, noise filtering) and deterministic structuring. You’ll receive a command-line script or Jupyter notebook with clear inline documentation, dependency setup, and easy re-run capability. I focus on high professionalism, ensuring accuracy, scalability, and compliance with platform policies. Happy to review your sample profiles and required fields before starting.

@akkiwadhwa1995

Hi, I can build a reliable Python scraper that extracts public social-media content, cleans it, and outputs structured CSV/JSON ready for analysis. I have strong experience building large-scale scraping and data pipelines (including my own product handling millions of records daily), so I’ll ensure accuracy, low duplication, and reusability. **Approach:** • Use Selenium/Playwright for dynamic sites and BeautifulSoup/requests where possible • Extract posts, comments, and required metadata • Clean data (remove emojis, HTML, noise) • Deduplicate using hash + similarity logic (<1% duplicates) • Export clean dataset (CSV/JSON) **What you’ll get:** • Reusable CLI script or Jupyter notebook • Clean, structured output • Setup guide + dependencies • Inline documentation • Rate-limit handling and compliance with public data policies The script will be easy to rerun with different inputs. If you share target platforms, sample profiles, and required fields, I can start immediately and deliver quickly. Thanks, Akshay

@Hrolgar

Public post endpoints return cleaner data than DOM scraping and don't break when a site's layout changes. That's the default here, with Playwright only for platforms that genuinely require it. The scraper would be config-driven: one YAML file lists your target platforms and search terms, each platform gets its own fetcher, and the cleaning pipeline strips emojis, zero-width chars, and boilerplate before deduplication by content hash. Output goes to both CSV and JSON with a consistent schema across platforms. Rate-limited per domain so mid-run blocks aren't an issue. M1: Per-site fetchers and API clients, INR 3150, 2d. M2: Cleaning pipeline, dedup, and export formatter, INR 3150, 5d. M3: Config system, rate limiting, and final QA, INR 3200, 7d. Which platforms are you targeting? That determines how much of this is API vs headless browser, which affects the timeline estimate.

@PyMLExpert1

With my extensive experience as a Python and machine learning specialist, I am well-equipped to take on your social media text scraping project. I have a profound understanding of leveraging data to make informed decisions, and this can be directly applied to the task at hand. My familiarity with tools like Selenium, BeautifulSoup, and Scrapy gives me a strong foundation for developing or customizing an efficient scraper in Python to navigate the specific platforms you require. To ensure that your project meets the highest standards, I prioritize accuracy and efficiency in my work. By employing respectful rate-limit handling and strictly adhering to each platform's public-data policies, you can be confident that my solutions will always remain fully compliant. Beyond just completing this project, I also strive to provide lasting value for my clients. You can expect concise setup instructions and detailed documentation to empower you to rerun the script anytime without any hitches. To top it all off, you'll find that your data is neatly organized in a structured format, free from duplicates and unnecessary noise - precisely as you've specified. So let's collaborate to transform your needs into a reality

@souvikbasu

Public social-media scrapers have a real trap: static selectors break every 2-3 weeks. I build these with platform-specific fallback layers (mobile web → HTML → graphql inspection) so they degrade gracefully instead of dying. Stack: • Scrapy for crawl scheduling with rotating residential proxies (avoids IP bans) • Playwright for JS-rendered platforms where BeautifulSoup alone won't cut it • Output: normalized CSV/JSON (post_id, author, text, timestamp, url) — ready for NLP • Optional sentiment/topic-tag column using a lightweight transformer if you want preprocessing • Retry/backoff + captcha detection so the scraper alerts you instead of silently failing Two things I need: 1. Which specific platforms (Twitter/X? Reddit? Instagram? Facebook public pages?) 2. Rough daily/weekly volume so I can size the proxy pool Working prototype for 1 platform inside 48 hours, then extend.

@SnTechnologies59

Hello Sir, I am a professional Python developer with over 7+ years of experience. I have read your requirements and am interested in working with you. I have hands-on experience in Python automation, web scraping, and data handling. My skills include Python (Scrapy, Selenium, BeautifulSoup) for efficient data extraction, and I can store and manage data in CSV files and database systems such as MongoDB. I focus on delivering reliable, clean, and well-structured solutions. I am ready to start immediately and look forward to your response. Best regards, SoftNexus Technologies

@ammarahmed20

As a seasoned Full Stack Developer with significant experience in Python and web scraping, your project would be right up my alley. Over the past four years, I have been building scalable web applications and SaaS platforms using technologies like Selenium, BeautifulSoup, and Scrapy - all of which you've mentioned as preferred skills. My expertise in Python would come in handy while creating a scraper just tailored to your needs, making sure that all the essential text fields are captured accurately, cleaned meticulously to remove any noise post-scraping. My code strives for cleanliness and maintainability — two aspects that are crucial given your requirement of reusability. Whether it's a command-line script or a Jupyter notebook, I'll ensure your setup instructions are concise, your dataset packaged as a CSV or JSON file ready for downstream analysis. Moreover, compliance with each platform's public-data policies and respectful rate-limit handling come naturally to me as an experienced professional. With me on board, you can expect not only a perfectly run end-to-end script but also clear inline documentation ensuring that you understand every aspect of the process. Let's get started on this project - I promise you won't be disappointed.

@AsifTech21

As someone dedicated to streamlining time-consuming processes through tailored automation, I am Eniola, a proven expert skilled in Data Processing and Python. My experience aligns perfectly with what you need and I bring expertise in creating sophisticated scrapping frameworks using Selenium, BeautifulSoup, and Scrapy that can navigate any social media platform. I also adhere to best practices to ensure respectful rate-limit handling and platform compliance. My aim while handling projects like this is producing accurate data consistently reduced of noise such as emojis, markup, and duplicate lines just like you require. This involves cleaning raw outputs effectively to provide deduplicated datasets in a clean format for your downstream analysis in either CSV or JSON file. I ensure that my code provides clarity by including inline documentation as well as comprehensive setup instructions. To prove my proficiency better, I recently built an AI email responder that reduced manual workload by 80%, demonstrating not only my strong capabilities but also my focus on high-end productivity enhancements. If you choose to hire me, you can expect a turnkey solution delivered quickly. Let's schedule some time to discuss your project in more detail and work towards crafting an efficient and scale-ready automation solution.

@usmansharif362

⭐SOCIAL MEDIA TEXT SCRAPING AUTOMATION⭐ Hey, ➤ I’ve reviewed your requirements. You need a reusable Python scraper to extract public social media text (posts, comments, metadata) and clean it into a structured, analysis-ready dataset with minimal duplicates. I have strong experience in scraping automation and handling dynamic platforms. ✅How I will help: ↪️ Build/custom scraper using Selenium/BeautifulSoup ↪️ Extract posts, comments & required metadata ↪️ Clean data (remove emojis, noise, duplicates) ↪️ Structure into CSV/JSON (<1% duplicates) ↪️ Ensure rate-limit handling & compliance ✅DELIVERABLES: ✔️ Python script / Jupyter Notebook ✔️ Clean dataset (CSV/JSON) ✔️ Setup guide + requirements ✔️ Documented code + test proof ✅TOOLS & APPROACH: ✔️ Python, Selenium, BeautifulSoup ✔️ Pandas for processing ✔️ Regex for cleaning ✔️ Modular & reusable design ?Fixed Price: $120 ?Portfolio: https://www.freelancer.pk/u/usmansharif362 ⚫Quick Questions: ❓ Which platforms should be targeted? ❓ Public-only or login required? ✨Goal is a reliable scraper delivering clean, structured data ready for analysis. Regards, Usman Sharif