Beautifulsouppekerjaan

I’m looking to replace a tedious manual copy-paste process with a reliable workflow that pulls data directly from a set of public websites and feeds it into my spreadsheet every day. I already know the exact pages and the fields I need; what I need from you is an automated solution—ideally a clean, well-commented script in Python using libraries you feel are best suited (Scrapy, BeautifulSoup, Selenium, or a combination). The final output should be a structured CSV (or Google Sheet via API) that mirrors my current column layout so I can slot it straight into existing reports without any reformatting. The script must run unattended on Windows, handle occasional site layout changes gracefully, and log any rows it can’t capture so I can review them later. A quick REA...

...You will receive: Images from Singapore card vendors showing buyback prices Use AI tools to: Identify the card from the image Search eBay: For recent SOLD listings of the same PSA card Extract: Actual accepted Best Offer prices Calculate: Total landed cost in SGD Compare: Vendor Buyback Price vs Total Cost Flag: Arbitrage opportunity if profit ≥ 15% You’re free to use Python (BeautifulSoup, Scrapy, Selenium, or the official eBay API) or any stack you prefer, so long as the process runs unattended on my VPS and avoids eBay’s anti-bot triggers. Deliverables: 1. Well-documented source code with setup instructions 2. Automated scheduler (cron, Windows Task, or similar) set to run daily 3. An Excel file generated on each run, overwriting or append...

...Deliver the harvested content in a clean CSV or Excel file with clear column headings; if you prefer a database export, let me know and we can adjust. • Include the finished script or notebook so I can rerun the extraction later. Accuracy and formatting matter more to me than sheer speed, so please allow time for basic validation before handing over the files. If you normally work with Python (BeautifulSoup, Scrapy, Selenium) or similar tooling, that’s perfect, but I’m open to alternative stacks as long as the output meets the same standard. When you reply, briefly outline: 1. The scraping approach and libraries you’d use 2. Any anti-blocking measures you apply for public sites 3. A realistic timeframe to capture, clean, and hand back the data I&rs...

...companies based anywhere in California. If this works, out, then will branch out to other states. I do not want photos posted by the plumbing business, only photos posted by consumers who are reviewing the California based plumbing business. As to the photos I am looking for, the photos sought are specifically printed plumbing contracts. You should be familiar with scrapers like Python with BeautifulSoup, etc, how to use a rotation of residential proxies to prevent your IP address from being banned, etc. Here is a site that partially explains one way to do it: Run it and let me know how many images of plumbing contracts you come up with posted by consumers reviewing the plumber company, and give me a price for providing all images posted

...from publicly available sites. The focus is simple yet crucial: for every company you find, capture the homepage URL and a working email address. (ask for details in the sheet ) A completely ethical approach is non-negotiable—no gated content, no third-party lists, and no automated harvesting that violates site terms. I’m happy for you to use tools you’re comfortable with (Python, Scrapy, BeautifulSoup, Selenium, Google Apps Script, etc.) as long as you respect and rate limits. Email addresses must appear in plain text within the sheet; please avoid hyperlinks or HTML encoding. Deliverables • A Google Sheet populated with data • A short note on your collection method (manual, scripted, hybrid) so I can replicate or update the data in the futur...

I need investment performance data scraped from a research website and organized into an Excel file. It needs to be set up for scraping on a regular basis. Requirements: - Experience with web scraping tools and techniques - Ability to extract and format data accurately - Proficiency in Excel - Attention to detail and reliability Ideal Skills: - Familiarity with Python, BeautifulSoup, or similar scraping libraries - Prior experience with financial data - Strong data handling and manipulation skills Please provide a sample of your previous work related to web scraping.

...files so everything ends up neatly organised on my side without any human touch. Here is what you’ll walk into: • A couple of small, working scripts (Requests + BeautifulSoup) that successfully fetch raw HTML but stop there. You can keep, refactor, or merge them—whatever gets us to a streamlined pipeline fastest. • Folder structures and naming conventions already in place for the collected data. Your script should create, move, and archive files to match these rules. Key outcomes I’m looking for: 1. One consolidated script (or a clearly-structured package) that scrapes the target sites, parses the useful fields with BeautifulSoup, cleans and reshapes the data in Pandas, and spits out tidy CSV or JSON files. 2. Automated file management&m...

Project Title Custom Lead Generation & Email Scraper Tool (Google, Yellow Pages, & B2B Directories) Project Description I am looking for an experienced developer to build a robust, high-performance Email Scrapi...a validation check to avoid "dead" emails) Phone Number (Optional but preferred) LinkedIn Profile URL (Optional but preferred) Export Functionality: Capability to export data into CSV or Excel format. Anti-Blocking Measures: Use of rotating proxies or delays to ensure the scraper isn't blocked by Google or directories. Technical Requirements: Preference for Python (Selenium, Scrapy, or BeautifulSoup) or a dedicated desktop application. User-friendly interface (even a simple CLI is fine, but a GUI is a plus). Fast processing speed with the abil...

Project Title Custom Lead Generation & Email Scraper Tool (Google, Yellow Pages, & B2B Directories) Project Description I am looking for an experienced developer to build a robust, high-performance Email Scrapi...a validation check to avoid "dead" emails) Phone Number (Optional but preferred) LinkedIn Profile URL (Optional but preferred) Export Functionality: Capability to export data into CSV or Excel format. Anti-Blocking Measures: Use of rotating proxies or delays to ensure the scraper isn't blocked by Google or directories. Technical Requirements: Preference for Python (Selenium, Scrapy, or BeautifulSoup) or a dedicated desktop application. User-friendly interface (even a simple CLI is fine, but a GUI is a plus). Fast processing speed with the abil...

...that grows downward with every run; newest rows appear at the bottom. Each run should happen on a schedule I can adjust (cron, task scheduler, or similar). • Resilience: graceful handling of captchas or temporary blocks (rotating proxies or headless browsing accepted), clear logging of any skipped items, and an alert if a site layout changes. • Maintainable code: well-commented Python (BeautifulSoup, Scrapy, or Playwright are all fine) or an equivalent language you prefer, plus a short README explaining setup and how to add new sites later. Once delivered I will validate that: 1. Data from all ten sites lands in the workbook with a proper timestamp. 2. Prices from consecutive runs appear on separate rows, preserving history. 3. The script can be launched by a...

...me the moment it detects any difference in either the visible text or the images. The page updates unpredictably, so true real-time tracking is essential; a one-minute polling interval is already too slow for my use-case. A lightweight approach that respects the site’s bandwidth and avoids triggering blocks or captchas will be valued. I am open to whatever stack you favour—Python with BeautifulSoup or Selenium, Node.js with Puppeteer, or a compiled solution—so long as it is stable on a Windows environment and easy for me to tweak the target URL later. Notification method is flexible: an email is fine, but if you have a smarter suggestion (desktop toast, webhook, etc.) that can be set up quickly, I’m all ears. Please deliver: • The complete,...

...the relevant pages in real time or on a frequent schedule. • Apply NLP or other classification techniques to decide whether a posting is truly AI-related, then tag it by sub-domain (e.g. vision, NLP, MLOps, prompt-engineering). • Deliver concise, deduplicated listings to me through an in-app notification feed—no email or SMS required. For the deployment side I’m open to Python (Scrapy, BeautifulSoup, Selenium), Node, or any stack you are comfortable with so long as it is containerised and can run unattended on a small cloud instance. A lightweight web interface or Electron desktop app for the notification feed is ideal; you can suggest an alternative if it achieves the same user experience. Acceptance criteria 1. Agent successfully scrapes at least t...

...loss. Using a reliable scraping stack (Python, Requests, BeautifulSoup, or JavaScript if required), I will extract all visible table rows, normalize and validate the data, and transfer it into Google Sheets with proper formatting, structured schema alignment, and clean tabular organization. Key deliverables include: • Full table scraping from public website source • Accurate data extraction with 100% row and column preservation • Clean Google Sheets integration with correct structure and formatting • Data validation and spot-check accuracy assurance • Removal of duplicates, null inconsistencies, or formatting errors • One-off execution (no scheduler, no recurring automation) Technical keywords: Python, Web Scraping, BeautifulSoup, Requests,...

...date you captured each record logged beside the data. • Consistency matters: please apply uniform naming conventions (e.g., “FY2023 Gross Profit” instead of varying labels) and check subtotals or totals to be sure everything reconciles. • I’m flexible on the final file type—CSV, Excel, or Google Sheets all work—so let me know which you prefer or suggest. • If you automate with Python, BeautifulSoup, Selenium, or a comparable tool, great; just include the script so the process can be rerun later. A quick README explaining any inputs or environment setup is enough for me to replicate it. • Accuracy is non-negotiable. I will spot-check figures against the original web pages, so double-check before submitting. Once you delive...

...for a later phase—so the job is focused on clean data capture and a flawless import workflow. Descriptions must remain in plain text; no extra HTML markup. Images should arrive attached to the right variation, including separate gallery shots where available, and the colour options need to show as clickable swatches in WooCommerce, not just text labels. I’m comfortable if you use Python (BeautifulSoup, Scrapy) or another scraper, and either the WooCommerce REST API or a CSV/​XML tool like WP All Import for the upload, as long as the end result feels native inside my store. Deliverables: • Complete product dataset (titles, plain-text descriptions, all images). • Variations set up so size and colour swatches behave exactly like on Furnx. • Pro...

I need a clean one-off scrape of tabular data that sits openly on a public website and have that entire dataset placed into a Google Spreadsheet. Because it is only a single extraction, I am not looking for a recurring script or scheduler—just an accurate pull of everything that appears in the table on the page today. Feel free to use your preferred stack—Python with BeautifulSoup/Requests, Apps Script, or any reliable web-scraping tool—as long as the final result lands neatly in the sheet, keeping the same column order and row count that appears online. Before we wrap up, I’ll quickly check row totals and a handful of random cells against the site to confirm accuracy; once those spot checks pass, the job is done.

...phone number, and email—nothing more. The final deliverable is a clean, well-structured Excel file ready for me to review. Speed is the priority here: please be able to start right away and turn the file around as fast as possible while still double-checking that every row is accurate and complete. If this timeline works for you and you have solid scraping experience with tools like Python, BeautifulSoup, or Scrapy, let’s move forward now. Budget small as simple Task so Low budget bidder 1st priority. But start now. Simple Task. Start bid with "Urgent" Thanks....

I have two source spreadsheets that I need merged and enriched through automated scraping: • “File 1” – 170 k Spanish local businesses with emails • “File 2” – 65 k additional businesses with websites only Phase 1 – Email extraction Using a Python script and well-known libraries (requests, BeautifulSoup, Scrapy or similar), scan every site listed in File 2, capture all working email addresses you can locate, then append them to the corresponding rows so I can produce a unified “File 3”. Phase 2 – Offer harvesting Next, visit each live site in File 3. Where an offer, deal or promotion is publicly displayed, record the details in a fresh Excel sheet with these exact columns: Business ID | Business Name ...

I have a public-facing website that I need scraped end-to-end. The site is open (no login), but the content is split across multiple pages, so your script will have to detect and follow pagination automatically. Here is exactly what I expect: • A clean, well-commented Python script (requests/BeautifulSoup, Scrapy, or Selenium—your choice) that visits every page, captures the required fields, and writes them to a neatly structured CSV. • The final CSV containing all rows pulled from the site. • A short README that tells me how to run the script and change the target URL or output path if needed. Code quality matters to me: no hard-coded absolute paths, clear variable names, and graceful error handling so the run doesn’t stop if a single page fa...

...schedule; it just needs to collect every page’s copy accurately and store each page URL, headline, sub-headline, paragraph body, and any inline text in separate columns. Please make the scraper resilient to common roadblocks such as pagination, lazy-loaded sections, and basic anti-bot measures, and keep the code modular so I can rerun it myself if the site layout changes slightly. Python with BeautifulSoup, Scrapy, or Playwright is fine as long as the final CSV is UTF-8 encoded and free of HTML tags. Quantities: - we expect somewhere between 10.000 and 70.000 records - we want to pay in milestones per 5,000 - we want to pay for research work + first 5000 in the first milestone, other amount for following milestones (in case you get blocked, problems arise) Deliverables ...

Project Description: Find school districts and charter schools who use a specif...as `"No Vendor Found"`. - If no website could be loaded, the script should log any failed connections or timeouts. Output Format (CSV) The final deliverable file should be structured with the same columns as the ones provided with the additional column to include your results. Skills Required - Expert proficiency in Python. - Deep experience with web scraping libraries (e.g., Requests, BeautifulSoup, Scrapy, and especially Selenium/Puppeteer for dynamic content). - Experience handling common web scraping challenges (redirects, user-agents, proxy usage (if necessary)). To bid, please confirm your familiarity with scraping dynamic content and provide a brief description of the scraping app...

...es or reliable associated sources. Specific sources: Euromillones: (since Feb 13, 2004) La Primitiva: (since Oct 17, 1985 – modern version) El Gordo de la Primitiva: (since Oct 31, 1993) Updates automatic at exactly 00:02 the day after each draw, using ethical scraping (BeautifulSoup/Scrapy) with proper user-agent headers to mimic human behavior. Store data in PostgreSQL (structured) or MongoDB (flexible), including all prize categories to enable ROI calculations and backtesting. 2.2. Number Prediction Generate predictions for Euromillones, La Primitiva and/or El Gordo simultaneously using explicit advanced AI models: Machine Learning ensembles (Random Forests) for

... Once scraped, the information should be organised into a clean CSV file—one row per page—with columns for page URL, full body text, image file names, and link destinations. Please download the images themselves as well and bundle them in a separate folder (a simple ZIP is fine); the CSV should reference the exact filenames so everything lines up. I’m happy for you to use Python with BeautifulSoup, Scrapy, Selenium or whichever stack you prefer, as long as the final output meets these acceptance criteria: • Complete CSV containing text, image names, and link URLs for each page • All images successfully downloaded and accessible via the filenames listed in the CSV • No duplicates or missing pages from the target site * Images need to b...

I need a small automation script that periodically checks item availability on the Bigbasket website and pings me on Telegram the moment any of the tracked products come back in stock. You are free to choose the underlying tech stack (Python + Requests/BeautifulSoup, Selenium, Playwright, or a headless browser of your choice) as long as it works reliably with Bigbasket’s current site layout and protects my account from rate-limit blocks or captchas. The flow I have in mind is straightforward: I feed the bot a list of product URLs (or SKUs). It runs on a schedule I can change—every few minutes during peak shortages, maybe every hour otherwise—grabs the stock status, and fires a concise Telegram message whenever the status flips from “Out of Stock” to &l...

Quiero contar con un archivo .xlsx que contenga las 12 728 filas completas de la tabla pública que aparece en la web de INDECOPI (Perú). El sitio sólo mue...columnas con formato estándar, sin filtros, tablas dinámicas ni otras funcionalidades añadidas. Yo te facilitaré la URL exacta y los pasos de navegación para que ubiques la vista paginada. Una vez terminado, comprobaré que el total de filas coincida con el contador oficial y que no existan celdas vacías en los tres campos solicitados. Si tienes experiencia en scraping con Python (requests, BeautifulSoup, Selenium) o herramientas similares y puedes generar el .xlsx sin alterar la estructura original, me será suficiente. Entrega prevista: archivo Excel ...

...security The service must issue and validate JWT tokens for every request beyond the public health-check route. Token refresh, revocation, and a simple role model (“user” vs. “admin”) should be built in from the start. Flight data extraction I do not have official Iberia developer access, so we will need to pull the data ourselves. I’m open to whichever tooling you are most comfortable with — BeautifulSoup, Selenium, Scrapy, or a hybrid approach — as long as the final solution is headless, resilient to minor layout changes, and respectful of Iberia’s rate limits. Only flights that are bookable with Avios need to be captured; no hotel or car-rental data is required. Deliverables • Clean, modular Python code (FastAPI or F...

...commissions from price comparisons. - Timeline: 1–3 months part-time (flexible around your schedule). - Budget: $1,000–$3,000 (based on experience; includes milestones). **Required Skills:** - Proficiency in no/low-code platforms (e.g., , Adalo, or similar). - AI integration (e.g., Grok APIs for personalized suggestions). - Web scraping/APIs for cost comparison (e.g., Python/BeautifulSoup via Zapier). - Basic frontend/UI design (user-friendly quiz forms, output reports). - Knowledge of compliance (GDPR, disclaimers; experience with health/edtech apps a plus). - Optional: SEO/marketing setup, affiliate integrations. - Strong English communication; available for weekly check-ins (I'm in Dallas, TX—US time zones preferred). **Scope of Work ...

...security The service must issue and validate JWT tokens for every request beyond the public health-check route. Token refresh, revocation, and a simple role model (“user” vs. “admin”) should be built in from the start. Flight data extraction I do not have official Iberia developer access, so we will need to pull the data ourselves. I’m open to whichever tooling you are most comfortable with — BeautifulSoup, Selenium, Scrapy, or a hybrid approach — as long as the final solution is headless, resilient to minor layout changes, and respectful of Iberia’s rate limits. Only flights that are bookable with Avios need to be captured; no hotel or car-rental data is required. Deliverables • Clean, modular Python code (FastAPI or F...

I’m expanding our Florida outreach list and need a reliable web-scraped data set of school, college, and university administrators who oversee Nursing o...Verified email address • State (always Florida) Format & delivery – Send the file in Excel (.xlsx). – First progress drop: within 5 days so I can spot-check. – Final, fully cleaned file: no later than 10 calendar days from project start. Quality matters because this list feeds straight into our marketing campaigns. I’ll spot-verify a sample for accuracy. Feel free to leverage Python, BeautifulSoup, Scrapy, or similar tooling—whatever lets you move quickly while respecting each site’s robots.txt. Let me know if anything needs clarifying before you begin, otherwise I&rsqu...

...program should visit the target site (I’ll share the URL once we start) and pull Product Details exactly as they appear online. That means every time I point the script at a category or search page it should work through all pagination, capture the data, and save it to CSV or Excel so I can sort and analyse it later. Key points to cover • Use reliable, open-source libraries such as requests, BeautifulSoup, or Selenium—whichever gives the most stable results for the site once you see it. • Build in simple settings (URL, output file name, optional delay between requests) near the top of the file so I can tweak them without touching the core logic. • Handle common edge cases: missing fields, changing layouts, or temporary time-outs, and log any skip...

I’m looking for a well-structured Python solution, built around BeautifulSoup (BS4) and any supportive libraries you deem essential, that reliably pulls both product details and customer reviews from Lazada on a daily schedule. The data will fuel ongoing competitor research, so consistency and clarity of the output are critical. I looking specifically to get data using bs4 by bypassing the captcha Here’s how I picture the flow: • Input: category URL(s) or product list I supply in a CSV/JSON. • Scrape: title, price, promos, specs, images, ratings, full review texts, review dates, and reviewer scores. • Output: clean CSV or JSON dropped into a dated folder after each run. Make the script easy to tweak if Lazada changes its markup. Acceptance criter...

I need a seasoned Python developer to build a robust scraper that collects the required data and writes it straight to JSON—no additional cleaning or processing necessary. Once we begin I’ll provide the target URL(s) and any access details; for now, assume a standard public site with pagination and occasional anti-bot checks. Core expectations • Written in Python 3 using requests/BeautifulSoup or Scrapy; resort to Selenium only if there’s no lighter workaround. • Handles pagination, retries, and polite delays gracefully so the run can complete unattended. • Config file or clear constants for headers, cookies, and start URLs, letting me tweak targets without editing core logic. • Produces a single JSON file (or one file per page if that&...

...reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories. I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum. Deliverables • One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected. • No duplicates; every entry m...

I need a standalone desktop program that lets me analyse horse races by pulling fresh horse-performance data directly from www.racenet.com.au. The app...criteria • One-click scrape pulls the latest horse performance data without captchas or manual intervention. • All key fields visible on racenet for each horse populate correctly in the local database. • Basic analytical views refresh in under two seconds on a typical laptop. • No paid API keys required—everything comes from the public site. I’m flexible on the tech stack: Python (BeautifulSoup/Selenium), C# (.NET), or even Electron if it stays lightweight. What matters most is reliable scraping, clean code, and a UI I can rely on race morning. Let me know your preferred approach and any simi...

...and export the results to CSV or Google Sheets. I mainly care about item title, price, description, photos (image URLs are fine), posting date, item location and the seller’s profile link so I can trace each record back to its source. If you can collect additional fields that Facebook exposes, even better—just keep everything neatly labelled. No hard requirement on the stack: Python with BeautifulSoup / Selenium, Node with Puppeteer, Playwright, or a headless browser solution all work for me as long as it runs on Windows or a small Linux VPS and doesn’t violate Facebook’s ToS. Please build in reasonable throttling, login handling (cookie-based or mobile API, whichever is more stable) and a simple config file where I can tune delay settings or add new ac...

...dashboard to: • Manage monitoring settings • Control alerts and configurations • Implement structured and scalable automation logic. • Ensure the solution is maintainable and adaptable to future website updates. • Provide clear documentation for setup and usage. Technical Requirements • Strong experience with Python • Web automation tools such as: • Selenium / Playwright • Requests / BeautifulSoup • Backend development experience • Familiarity with notification systems (Email, Telegram, Webhooks, etc.) • Clean, well-documented, and modular code Additional Notes • This is a long-term project. • Ongoing collaboration may be required for future updates, optimizations, and feature enhancements. &bu...

...location coordinates directly from Google Maps. The second will crawl a set of websites I will supply and pull out product information, on-page contact details, and any user-generated content that appears alongside those products. Please structure every field into one tidy CSV per source so I can plug the results straight into my BI dashboards. I am comfortable if you lean on Python, Scrapy, BeautifulSoup, Selenium, or similar tools, provided the script is well-commented and can run headless behind rotating proxies without tripping rate limits. Deliverables: • 4 working scripts (Maps + websites) with clear setup instructions • Sample output files proving all requested fields are captured correctly • Output data must have City Name > (Excel file with ...

I need a small proof-of-concept scraper written in Python that pulls user information from a set of static website pages and exports it into a clean CSV file. The pages load without JavaScript, so a lightweight stack such as requests + BeautifulSoup (or lxml) should be all that’s required; no browser automation is necessary unless you can justify a clear advantage. I will supply the page URLs and highlight the exact fields to capture (name, profile link, location, and any other visible user meta). Your code should handle pagination where applicable, respect polite crawl rates, and be easy for me to adjust if the HTML structure shifts. Deliverables • Well-commented Python script (.py) • Sample CSV containing the extracted records • README with setup steps a...

I need clean, structured product details pu...purpose-built. I already have a clear idea of the attributes I want captured (title, price, SKU, description, availability, image URL). Once we agree on the target sites, you can build a scraper, run it, and hand back the CSV along with the script or notebook so I can reproduce the results later if needed. Please let me know: • Which language or framework you plan to use (Python, Scrapy, BeautifulSoup, Selenium, Playwright, etc.). • How you’ll handle pagination, anti-bot measures, and site structure changes. • An estimated turnaround and any milestones you suggest. Accuracy, deduplication, and clarity in the final CSV will be the acceptance criteria. If this sounds like your bread-and-butter, I’m ready...

...Excel file, encoded in UTF-8, with consistent headers and no duplicates. The file needs to be able to be used in a mail merge or address label capability. Acceptance The file must open without errors and pull all relevant permits. Please include a brief note on your chosen approach, the approximate turnaround time, and, if you automate, the language or toolset you’ll use (Python + BeautifulSoup, Selenium, etc.). Samples of the data files are attached...

I need a developer to collect data from multiple public w...solution (script or small app) that I can run on demand Basic documentation: how to run it, how to adjust settings, where outputs go Quality requirements Reliable scraping with error handling and retries Respectful request rate / throttling to avoid overloading sites Clear logging (success/fail, pages processed) Ability to adapt if page structure changes Experience with Python (Scrapy/BeautifulSoup/Selenium/Playwright) or Node.js Proxy / rotating user-agents experience (only if needed) Scheduling/automation (cron, Docker, or cloud run) Deliverables Working scraper + instructions Sample output file(s) Final dataset from agreed sources (initial run) To apply, please include Examples of similar scraping work you...

I have an urgent need for a clean, well-structured dataset containing the listing agent’s first name, last name, mailing address, and phone number for well over 500 active Zillow listings. Speed is critical, but accuracy matters just as much; the final file should be ready for immediate import into my CRM. You are free to use whichever stack you prefer—Python with BeautifulSoup or Scrapy, Selenium, residential proxies, even the unofficial Zillow API—so long as rate-limits are respected and the data is complete. I don’t need property details or price history; the focus is strictly on the agent contact fields. Deliverables • CSV or XLSX with a separate column for each required field • A short read-me explaining the script or method so I can reru...

...every piece of visible textual content I specify, and returning it in a machine-readable format. I’m flexible on the final file type; CSV, Excel, or JSON all work as long as the fields are clearly labeled and easy for me to manipulate later. A small sample first will help confirm we’re on the same page before you run the full extraction. Please use whatever stack you prefer—Python with BeautifulSoup or Scrapy, JavaScript with Puppeteer, or a tool that suits the task best—just be sure to respect and provide the code so I can rerun the process when the site updates. Deliverables: • Re-usable script or notebook with clear comments • Complete dataset containing all extracted text, delivered in my chosen format • Brief read-me exp...

I need a small, reliable script that pings the Late Show with Stephen Colbert page on 1iota every 30 seconds and fires off an SMS the moment May 21 tickets appear. The job is straightforward but time-sensitive: • Scrape or query the specific event listing without triggering 1iota’s bot protections (Python with requests/BeautifulSoup, Playwright, or Selenium are all fine—use what keeps the check time low). • Parse the response and confirm that the date equals 21 May before treating it as a positive match. • Send a single, immediate SMS alert to my phone via Twilio (or another SMS gateway you’re comfortable with). The script must run unattended on a Mac or Linux box—so include setup instructions, any required environment variables, and ...

...whatever loophole is needed to reveal the hidden contact and unit details, then replies with a single, structured template that looks something like: Property: <Title> Unit No.: <unit_number> Client: <client_phone> Owner: <owner_phone> Source: <URL> Key points • No reliance on the Bayut or Propertyfinder APIs—pure scraping with your preferred stack (Python, Node, Playwright, Selenium, BeautifulSoup, etc.). • Handle anti-scraping tactics gracefully (rotating headers, proxies, captchas if they appear). • Keep response time reasonable so a conversation still feels instant. • Deliver clean, well-commented code plus a quick guide for deploying the bot on a VPS or Docker image. Acceptance will be a short live de...

...installierbar; Python oder PHP sind bevorzugt, ich bin aber offen für andere Vorschläge. Akzeptanzkriterien – ≥ 95 % korrekte Felder bei typischen Lieferanten-Layouts. – Zeitgesteuerter oder eventbasierter Abruf ohne manuelles Anstoßen. – Dokumentation zur Einrichtung sowie kurzes Benutzerhandbuch. Teile mir bitte mit, welche Sprache / Libraries (z. B. Python + imaplib, spaCy, BeautifulSoup) du einsetzen willst und wie du das Prüftool realisieren würdest. Beispiele früherer Arbeiten im Bereich E-Mail-Parsing oder Datenimport sind willkommen. I run a vinyl records database and regularly receive new release lists by email. To avoid manually entering this information, I’m looking for a solution that can auto...

...grab every historical and new financial report that appears on the “Filings & Disclosure” section of otcmarkets.com. At the moment I only care about the PDFs of annual, quarterly and interim filings, but the solution should be flexible enough that I can later extend it to press releases or historical data if required. Here’s what I expect: • A script (preferably in Python 3 using requests / BeautifulSoup or Selenium if necessary) that accepts a plain text list of symbols, checks each page once per day and downloads any financial report that is not already saved. • Folder or filename logic that organises the PDFs by ticker and date so nothing is overwritten. • A simple log or CSV that records the timestamp, ticker and URL of each file fet...

...to scrape public websites * Parse HTML, JSON, CSV, and PDF files * Clean and normalize messy real-world data * Write clear, maintainable utility scripts * Deliver working code (not just prototypes) --- ### Required Skills * Strong Python fundamentals * Real experience with web scraping * Data parsing and data cleaning * Comfortable working independently and async --- ### Nice to Have * BeautifulSoup, Scrapy, Playwright, or Selenium * pandas / numpy * Experience scraping government or legacy websites * Experience handling PDFs (text extraction, OCR) --- ### How We Evaluate * This role includes a **paid trial task (1–3 days)** * We care about **output and correctness**, not resumes * Clean, working code matters more than clever abstractions --- ### Important * Ple...

I need a reliable scraping solution that collects every open position from ten job-board and company-career sites in one specific country. I already have the full URL list and will share it right after kickoff. Scope • Write and schedule a se...bilingual postings, basic keyword search in the frontend, and an export button for CSV or Excel, but these are optional. Deliverables 1. Source code for all scrapers and the data pipeline. 2. Database schema or JSON structure. 3. Front-end webview ready to run locally. 4. README covering installation, configuration, and update routine. I’m happy to discuss your preferred stack—Python with BeautifulSoup/Scrapy or Node with Cheerio/Puppeteer are both fine—as long as the final result is stable and well documented....

...pages • Extract the bio text and the profile picture, storing the image locally or saving its direct link next to the bio in a CSV/JSON file • Respect , employ modest request throttling, and handle the site’s usual edge cases—lazy-loaded images, occasional 4xx/5xx responses, and any login or cookie notices that appear for anonymous visitors I’m comfortable with Python (requests, BeautifulSoup, Selenium) or Node (Puppeteer) solutions, provided the code is clean, modular, and comes with a concise README so I can run it on macOS or a Linux VPS without guesswork. Deliverables: 1. Full source code with clear setup instructions 2. A one-line command or small runner script that launches the crawl 3. A sample output file covering at least 20 profiles...