Extract Web Content to TXT

@vano101

Hello I have several years of experience with automated Web Scraping and I am going to prepare automated script to gather data Could you share URL to scrap data from? Thanks.

@MohanKumar28

Hi I have gone through the requirements. Good experience in creating custom scripts. Will do this scraping script using PHP. I'm available to start now. Please contact for further discussions. Regards, Mohan

@albertc1996

Hi, How many URLs are involved? If the pages have a consistent structure, I can automate the extraction process and deliver clean UTF-8 text files along with a filename-to-URL index, while preserving the reading order of paragraphs, lists, and tables. Please share the URL count so I can estimate the timeline accurately.

@debianguy

Hi, I can handle this efficiently and with a strong focus on extraction accuracy. My preferred approach is automated extraction with validation, which gives cleaner and more consistent results than manual copy/paste for medium or large URL sets. I can extract only the visible page content, remove HTML/navigation/ads/scripts, and preserve spelling, punctuation, paragraph structure, lists, and table reading order in clean UTF-8 TXT files. Deliverables: • One TXT file per URL • UTF-8 encoding • Clean, readable plain text output • CSV/TXT index mapping filenames to source URLs A few points I'd like to confirm before sizing the work: - Rough number of URLs? - Single domain or multiple websites? - Any JS-rendered pages, captchas, or restricted content? - Should extraction include only the main content area, or all visible page text? If needed, I can also support a hybrid workflow (automation + manual QA checks) for maximum fidelity. Happy to review a small sample set and confirm the best approach upfront.

@Rsolitario

Hi, Extracting web content is easy; extracting clean, readable text without the "noise" (headings, ads, and navigation links) is the real challenge. I can help you automate this process with a custom Python script that ensures you get only the main content from each page. What I'll deliver: Individual .txt files: Each URL is saved as a separate file, encoded in UTF-8 to avoid broken characters. Repetitive text removal: My script filters out navigation menus, footers, and sidebars, leaving only the main text/articles. Naming convention: Files with logical names (e.g., based on the page title or a numeric ID). Reference index: A CSV/Excel file that links each .txt filename to its source URL for easy tracking. My technical approach: I use Python with BeautifulSoup/Trafilatura, specialized libraries for readability (the same technology used in browser "reading modes"). This ensures that lists, paragraphs, and tables maintain their logical order. I'm ready to start immediately. If you provide me with 2 or 3 URLs now, I'll send you a free sample of the extraction so you can check the quality before hiring me. I look forward to working with you! And for a good review, it will be very affordable. Best regards, Rafael

@roohibansal07

Hello, I am ready to extract clean, unformatted plain text from your target URLs with 100% accuracy. Leveraging my 13 years of technical experience with digital workflows, ensuring only pure content, tables, and lists are captured in logical order. I will deliver perfectly matched UTF-8 encoded `.txt` files alongside your requested CSV index mapping. Let’s connect in chat so you can share the URL list and we can finalize the structure today. Best regards, Roohi

@nksharma420

I can handle this either with a lightweight automated scraper or a hybrid manual verification approach to ensure clean, readable plain-text output with accurate spacing and structure. Once you share the URL list, I’ll extract each page into UTF-8 .txt files and generate a matching CSV index of filenames to sources.

@manoval09

Hi, Extracting content from multiple web pages into clean text files is repetitive work that slows down content reuse, migration, or analysis—I'll handle that parsing and cleanup in a way that scales. I build scraping scripts in Python using BeautifulSoup for clean HTML parsing, with custom regex patterns to strip unnecessary whitespace, boilerplate, and formatting artifacts. I'll map out your page structure first to ensure consistency across all files, then handle edge cases like nested content or varied layouts automatically. First milestone: sample extraction from 2–3 pages so you see the exact output format before scaling to your full set. Timeline depends on page count and complexity, but for a straightforward job I can deliver initial samples within 24 hours. How many pages total, and do you need any specific text formatting or metadata preserved? Best regards, Val --- **Why this works:** - **Opens directly** with the client's actual pain (repetitive extraction work) - **One specific tool choice** (BeautifulSoup + regex) shows real technical depth, not generic claims - **Risk reduction** via sample extraction gives the client confidence before full commitment - **Scope clarification questions** demonstrate you're thinking about their actual needs, not just templating - **24-hour first-step promise** is concrete and realistic for this project type