ESPN Headline Scraper to Excel

@sohandas

I can crawl ESPN, filter keyword matches, and deliver Excel with URLs. Ready to provide a quick sample. How many keywords are there?

@etuannv

Hi, I have over 10 years of experience specializing in web scraping and browser automation. I'd approach your project with Python/Scrapy to build a tool to collect ESPN headline, match keywords and save to an excel file. Scrapy framework allows to auto throttle requests. So the site is not hammered. Please feel free to share more details about the project via chat. Thanks, Tuan

@diektech

Hi, I'm Elias from Miami. The goal here is to efficiently gather and organize ESPN article headlines based on specific keywords. What usually matters most is ensuring the scraper runs reliably, especially given the dynamic nature of web content. A common challenge in projects like this is managing the website structure to ensure accurate and consistent data collection. For this project, I’d implement a Python-based scraping solution that adapts to changes in the ESPN site. This would involve setting up an automated process to regularly check for new articles and extract relevant headlines while seamlessly managing data storage in Excel. I would ensure the system is maintainable and can be extended to accommodate additional keywords or sources in the future. I've built similar data scraping solutions for various platforms, focusing on reliability and ease of use. To tailor the solution effectively, I have a few questions: Q1: What specific keywords are you targeting, and might any change frequently? Q2: Are there particular formats or structures you prefer for the Excel output? Q3: How often do you anticipate needing updates on the headlines? I’d be happy to review your current setup or suggest a phased approach to ensure we meet your needs effectively. Looking forward to hearing from you.

@paulmd369

okay sir. • An Excel file (.xlsx) containing one row per matched headline with these columns: Headline, URL. • A short read-me (txt or markdown) describing your approach and how to rerun the script.

@imfarrukh47

hi I will crawl and scrape every headline in espn containing your keyword. I can use python selenium, request, bs4, scrapy what ever is needed to do this project I can start right now and deliver the project asap bid amount is not final and can be negotiable ping me a message for discussion

@kelvinm094

Hello, I’ve read your ESPN Headline Scraper brief and I’m confident I can deliver a clean, reliable Excel workbook with matched headlines and URLs. I will crawl ESPN with respectful throttling, compare headlines against your keyword list, and export a compact .xlsx with Headline and URL, plus a read-me explaining the approach and rerun steps. My experience with Excel, Data Management, and Automation pipelines helps ensure data integrity and repeatability, and I have hands-on Web Scraping skills to extract only the headlines you need. I can start immediately and deliver within 2 days, with a clear, testable process for reruns. Best regards, A results-driven professional

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc) and I read your ESPN headline scraper project carefully. I understand you need every ESPN article headline matching your keywords collected and organized cleanly in Excel, with accurate filtering and reliable data handling. I have about 15 years of experience in Python, web scraping, automation, data collection, Excel workflows, and data management. My approach would be: 1) confirm keyword rules and output format 2) build a scraper to capture matching ESPN headlines efficiently 3) clean, dedupe, and validate the data 4) deliver a polished Excel file that is easy to review and reuse I’ve done similar work on news tracking, article monitoring, and structured scraping pipelines where accuracy mattered. A few relevant examples: a market-news tracker, a sports stats collector, a content monitoring dashboard, and a public article archive tool. Could you please clarify the following questions to help me better understand the project? 1) Do you want only current ESPN articles, or also archived results? 2) Should matching be exact keyword phrases, partial matches, or both? 3) What columns should the Excel file include besides headline, URL, date, and keyword match? I’m careful with details because that’s what makes the final output accurate and useful. If you share the keyword list, I can recommend the best scraping approach right away. -James

@zafarfarooq612

Hello, I am a web crawler specialist who will scrape ESPN article headlines matching your keyword list, using Python with requests/BeautifulSoup and respectful rate limiting to comply with robots.txt. I will deliver an Excel file with Headline and URL columns, and a README with the approach and re‑run instructions. I can handle pagination and deduplicate. Please share your keyword list. I can start immediately. Thank you. Regards, Zafar

@iamhamzazaki

As an experienced data analyst and Python developer, I can create an efficient solution tailored specifically to meet your requirements. With my solid background in data analysis and my expertise in Python, I will design a scraper that will perfectly extract the ESPN article headlines you need. My keen analytical skills ensure that not a single relevant headline will be missed, as the scraper will diligently crawl the entire ESPN domain while rigorously testing each headline against the keywords you provide. Moreover, my familiarity with Excel is unmatched as I use it regularly to handle and manage large volumes of data, so delivering a well-structured Excel workbook with each matched headline meticulously arranged in separate rows along with their respective URLs is something I am highly capable of providing. To make it user-friendly for you in the future, I will also include a detailed read-me file outlining the approach taken and on how to rerun the script if required.

@sarimshoaib1425

100% doable, let's ditch scripts and move to something more reliable and easy. All I want from your side would be a $20 n8n account and 10-15 mins of your time where you can make some credentials in there that connects your excel workbook and that's it. It can run manually, every hour, every day or every 5 mins as you please. Fine with the budget, let's wrap it up :)

@C0RETECHIES

Hi there, I understand you need an automated script that will perform a comprehensive crawl of the ESPN domain. The process will involve discovering article links, visiting each page to parse the main headline, and checking that headline against your supplied keyword list. Each time a match is found, the script will store the headline and its corresponding URL, culminating in a single, well-structured Excel file. Technical approach: I will build a robust Python script using the requests library for polite, throttled HTTP calls and BeautifulSoup4 for efficient HTML parsing. A set of visited URLs will be maintained to prevent redundant processing. Matched data will be structured with pandas for clean export into the final .xlsx file. Core modules: The script will contain a crawler to manage the URL queue and request delays, a parser to extract headline text, a filter to perform keyword matching, and an exporter to generate the final spreadsheet. My implementation plan is to first validate the extraction logic on a single ESPN section, then expand the crawl across the domain while respecting robots.txt. I'll integrate the keyword logic and build in error handling before producing the final deliverables, including the readme. Regards, Rohit

@carlosd178

Hello, After reviewing your project requirements, I understand that you need a reliable web scraping solution to collect ESPN article headlines matching your keyword list and organize the results into a structured Excel workbook. I have strong experience with Python, web scraping, automation, data collection, Excel processing, and data management with over 10 years of experience. I have built scraping workflows that handle large datasets while respecting website limitations, filtering content accurately, and producing clean structured outputs. For this project, I will create a crawler that scans ESPN pages, checks headlines against your keyword list, collects only matching headlines and URLs, exports the results into an organized .xlsx file, and provide a clear README explaining the approach and rerun process. I will also ensure the crawler follows respectful request throttling and avoids unnecessary load on ESPN servers. A couple of quick questions: • Do you already have a preferred scraping framework (Scrapy, BeautifulSoup, Selenium), or should I choose the most suitable approach? • Should the crawler cover only current ESPN content, or also archived articles? Looking forward to helping you build an accurate and repeatable headline collection system. Best regards, Carlos.

@nsaltikarly

Hello, I’d be happy to help with this project. I am a statistician with experience in data collection, web research, and similar data extraction projects where accuracy, organization, and quality control are essential. I have completed comparable projects involving gathering, filtering, and structuring large datasets according to specific criteria. For this task, I will carefully collect ESPN headlines that match your keyword list, follow respectful crawling practices, and deliver a clean Excel workbook containing only the required Headline and URL fields. I will also provide a clear README explaining the methodology and how to rerun the process. I understand the importance of accurate matching and verification, and I will ensure the final dataset meets your acceptance criteria. Waiting to hear from you

@freeks2

I’m confident I’m well suited to deliver this project to a high standard with efficiency and attention to detail. I can provide examples of previous projects relevant to your requirements, particularly in web scraping and data collection. Your need for a structured Excel workbook with ESPN headlines matching specific keywords is clear, and I have extensive experience in developing scripts that respect site protocols like robots.txt. With strong communication, fast turnaround, and a keen eye for detail, I ensure reliable delivery and effective problem-solving throughout the process. I’m certain I’m the right fit for this project and can deliver high-quality results with precision, efficiency, and strong attention to detail. Best Regards, F. Snyders

@Georgeoustar

Hi, there! The key is building a respectful, reliable ESPN crawler that checks article headlines against your keyword list and produces a clean, accurate Excel workbook with working links. I have developed similar Python scraping and data collection tools using requests, BeautifulSoup, sitemaps, duplicate removal, keyword matching, rate limiting, and Excel exports. I can crawl approved ESPN pages, validate each headline, remove duplicates, generate the required .xlsx file, and include a clear README explaining setup and rerun instructions. 1. Should keyword matching be case insensitive and include partial word matches? 2. Do you need historical archived ESPN articles included, or only currently accessible pages? Best regards, George

@jordanrafael7

Hello! I'll build you a Python script that monitors ESPN for every headline matching your keywords and outputs them to a structured spreadsheet automatically. I've used Python and Web Scraping extensively to extract content from news sites, sports platforms, and dynamic pages. For keyword-driven collection tasks like yours, I combine targeted scraping logic with Data Entry automation to ensure clean, organized output that's ready to use. My approach handles ESPN's structure reliably and scales to handle ongoing collection without manual intervention. Here's how I'll deliver this: - Build a Python scraper that targets ESPN article headlines based on your keyword list - Filter and structure the collected headlines into a clean spreadsheet format - Add scheduling capability so the script runs automatically and appends new matches over time How frequently do you want the scraper to check for new ESPN headlines, and should it track publication dates or other metadata alongside the headlines? I can start immediately and have the first working version ready within 24-48 hours. Send me your keyword list and any formatting preferences via Freelancer messages, and we'll get this running. Best regards, Jordan Rafael G.

@acesolution

eloper at IronSide Computers INC since 2017. I can develop a reliable script to crawl ESPN responsibly, filter headlines based on your keyword list, and generate a well-structured Excel workbook with accurate headline and URL data. The solution will follow respectful crawling practices and include clear documentation so you can easily rerun it whenever needed. I can start immediately, deliver a high-quality solution tailored to your requirements, and provide regular progress updates throughout the project. Thank You, AXON Digital Solutions

@srdjanm2

Hi, With extensive experience in Data Management, Excel, Automation, Data Collection, Web Scraping, Data Entry, Python and Data Analysis, I understand exactly what you want and am confident that I can handle this project perfectly. Let's connect! Cheers!

@nathanw514

Hi, I can assist right away. I understand what you need and can start with a clear plan to reach your goals. I am a skilled freelancer with 10 years of experience in Python, Web Scraping, Automation, Excel and I have completed similar projects. Visit my profile to check latest work, client ratings and quick examples. Please connect in chat so we can discuss more details. Talk soon, Nathan Wilkins