Sas scrape jobs

Build 1,000 UK driveway and patio contractor leads with owner/director mobile numbers I need a ready-to-call list of 1,000 active UK companies in the driveway, patio, paving, resin-bound and landscaping industry. This must not be a simple Google Maps scrape, recycled database or basic Apollo export. The main priority is accurate UK mobile numbers for business owners, directors or managing directors, with a high chance that the decision-maker personally answers. Each lead should include: * Company name * Website * Owner/director full name * Job title * Direct mobile number * Main business number * Town/city * Email where available * Company registration number where available Only include companies that: * Are actively trading in the UK * Clearly offer driveways, patios, pavin...

Brief Client wants to track a fixed list of about 15–20 mutual funds or stocks daily or weekly, store historical NAV or price data in a queryable database, and view trends in an Excel dashboard without touching code. Requirements • Python: Daily/weekly data fetcher (API or scrape) with incremental append logic — skips already-fetched dates and handles non-trading days • SQL: SQLite or MySQL backend storing fund_id, date, and nav, with computed daily/weekly returns as a view or materialized table • Excel: Power Query connection pulling directly from the SQL database, with a dependent dropdown (select fund → auto-filter dates) and a "Growth of ■100" style index chart Deliverables • Python fetcher script with scheduler note (Task Scheduler...

...your own active, paid login to InvestorBase. No exceptions. ​Scraper Setup: Must own a working web scraper to bulk-extract wholesaler data (phone/names) from marketplaces like InvestorLift. ​SMS Software: Must have your own active texting platform to run high-volume outreach campaigns. ​JV Experience: Must have past experience assisting with real estate JV/co-wholesaling deals. ​Workflow: ​Scrape & Dedupe: Bulk-extract a master directory of 1,000 to 2,000 unique, individual wholesalers. Not multiple deals from the same wholesalers. ​Outreach: Load the unique list into your texting software to source deals. ​Verify Comps: Drop incoming deals into InvestorBase to verify historical investor cash comps (purchase ranges and averages) to ensure properties are moveable. ​Disp...

...someone who’s done it before. I also need guidance + handover so I can run it 1: UK FocusWhat it does: Scans the web 1-2x per week for signals that UK founders are raising pre-seed. Sources: LinkedIn, X/Twitter, TechCrunch, Sifted, UKTN, company blogs, Seedrs, YC, : Location: UK only to startStage: Pre-Seed only. Exclude Seed, Series A+Sectors: All sectorsData to Scrape & Output in Dashboard: Founder Name | Company Name | 1-line description | Sector | UK City | Amount Raising | Proof Link/URL | LinkedIn URL | Company Website URL | Founder EmailURL: Must capture the source URL where you found the "raising" signalEmail: Must attempt to enrich and find founder work email using Hunter, Apollo, Dropcontact, or company websiteKey Requirement - Self Hosted: Must b...

# Paid Project: Life-Science Experts Needed to Record Real Data Analysis Workflows (R, SAS, SPSS, GraphPad Prism, ImageJ) We're looking for experienced life-science researchers, biostatisticians, bioinformaticians, clinical researchers, epidemiologists, and data analysts to participate in a paid AI training project. The project involves recording your screen while completing a real data analysis workflow that you would naturally perform in your field. You'll briefly narrate your thought process as you work. These recordings will be used to train AI models to better understand scientific software and research workflows. ## What You'll Do Using your preferred software (R/RStudio, SAS, SPSS, GraphPad Prism, or ImageJ/Fiji), record yourself completing an end-to...

python script to scrape using product id

I am putting together a clean prospecting list of General Practitioners who operate in small-sized clinics anywhere in the United States. What I need from you is a spreadsheet of fully verified email addresses—no hard... – Clinic street address, city, state, ZIP Acceptance criteria • Minimum 98 % deliverability when I run a test through a tool such as NeverBounce or ZeroBounce. • All contacts must clearly belong to small or independent clinics, not large hospital systems. • No duplicates or role-based emails (info@, admin@, etc.). If you already maintain an up-to-date database or have the ability to scrape and validate in real time, let me know your approach and typical turnaround. I’ll review a small sample first, then green-light the full...

I need a clean, one-off scrape of product information from a single website and would like the final dataset delivered as a CSV. The CSV must include every visible product together with the key details you typically find on a catalogue page—name, price, image URL, description, SKU or ID, and category path. I do not need user reviews, contact details, or any ongoing scheduling; this is strictly a single execution job. Your script can be in Python (requests + BeautifulSoup, Scrapy, or Selenium if the site is JavaScript-heavy) or another language you are comfortable with, as long as it runs reliably on a standard desktop environment. Deliverables: • The CSV file with all product rows and clearly labeled columns. • The executable script or notebook, well-commen...

...occasionally show empty gaps. I need a seasoned Grafana / Prometheus troubleshooter to dig in, pinpoint the bottleneck, and restore smooth, complete monitoring. Here is what I am after: • Diagnose and eliminate the recent CPU spike on the Grafana server (Ubuntu, Prometheus scraping multiple node-exporters). • Find out why some series disappear briefly and correct the root cause—whether that is scrape errors, query load, retention settings, or anything else you uncover. • Build a clean, focused dashboard that shows only the essentials I care about: CPU usage, Memory usage, Disk usage, Uptime, Bandwidth In/Out, and Network Speed In/Out—nothing more. I’ll grant SSH and Grafana admin access in a staging window that suits us both. Once the fixes...

...business name, website/social media link, email, Instagram/LinkedIn/Facebook, country, and short reason why they are a good prospect. 3. Send outreach messages or emails using a script that we agree on. 4. Track responses in a simple spreadsheet. 5. Forward interested leads to me for follow-up or consultation. 6. Focus on quality leads, not random spam. Important: * Do not use fake leads. * Do not scrape irrelevant contacts. * Do not spam businesses. * Leads must be active businesses with visible online presence. * I prefer quality over quantity. Trial task: For the first milestone, I want 30–50 qualified leads with contact details and a short explanation for each lead. If the first trial is good, this can become a long-term collaboration. Please apply with: * Your pr...

...operation on Amazon UK and I need solid, data-driven product research carried out right away to fuel my next wave of inventory purchases. Your sole focus will be uncovering profitable niche products that fit an FBA wholesale model. What I need from you • Daily research that identifies viable, low-competition ASINs within the UK marketplace. • Full validation of each lead using tools such as Keepa, SAS, SellerAmp, or Helium 10 to confirm sales rank, price stability, and average monthly volume. • A concise spreadsheet (Google Sheets or Excel) showing for every product: supplier link, buy cost, current Buy Box price, fees, net profit, ROI %, average BSR, and any relevant IP or hazmat notes. • Minimum criteria: at least 30% ROI, £3+ net profit, cons...

...we own, needs to set up & drive massive audiences -1m eyeballs daily to the pages, sites and audiences. Driving leads for realestate agents tgrough prolific story telling and using n8n agents to connect to new audiences and data. Check out use pw knockknock to see the site, Knock knock is a Netflix feeling property storytelling media platform. The goal is to break realestate in nz, scrape up & publish content and property data, mass& HYPER target industry leaders through - not paid content, dominate eyeballs in property in Wellington then scale rapidly nationwide. Show positive trends of Agents paying $10 per week subscription, $49 listings, and $39 rebtal listings. Build, dominate and EXIT the full network, sites, audiences within an 8 week timeframe. You must

...set of active listings; it references listings by name/detail, stays on-brand, and nudges serious enquiries toward contacting the agency / booking a viewing. AI Listing Content Generator (admin-only) — from the structured property fields, generates (a) a 2–3 paragraph aspirational marketing description and (b) an SEO meta description (≤150 chars). Reference build uses Claude Sonnet for quality. Scrape & Import Existing Listings — a robust importer that crawls our existing live listings website (URL shared with the hired freelancer), paginates the for-sale and for-rent index pages, opens each property detail page, and parses: reference code, title, price, location/suburb/city, bedrooms, bathrooms, area (sqm), features (main + other), all full-size images, ...

I’m looking for a detail-oriented web-scraping specialist who can pull data from virtually any public-facing website and hand it back to me neatly organised i...times articles, reviews, or contact details—so adaptability and solid experience with tools such as Python (BeautifulSoup, Scrapy, Selenium) or equivalent are essential. What matters most is accuracy, clean formatting, and a repeatable process I can rerun in the future. Along with the finished .xlsx file, please include either the script or clear documentation of your method so I can update the scrape if the source site changes. If you have questions about pagination, login barriers, or large data volumes, let’s discuss them up front so we can agree on timing and approach. I’m ready to start as soon...

I need a fresh, well-verified list of 100,000 active websites belonging to U.S.–based companies that have between 50 and 500 employees. For each domain, include exactly one senior decision-maker—President, CEO, or Owner—so that outreach can go straight to the top. Please deliver everything in a single CSV file. Each row should contain: • company name • website URL (live and reachable) • employee count (source noted) • C-level contact name and title I’ll run random checks on at least 5 % of the list; entries that bounce, lead to parked pages, or list the wrong employee range will be rejected. Aim for a 95 %+ validity rate so we can move forward quickly. Use whatever combination of tools or datasets you trust—LinkedIn Sales N...

I want a clean, well-structured contact list of Australian users who engage with water supplementation systems for livestock. The two sources I care about are the DIT AgTech Facebook presence and its LinkedIn network, and I value them both equally. From Facebook, I need each person’s name, any reliable contact details you can lawfully extract, plus evidence of their interests or activity that links them to livestock supplementation systems. From LinkedIn, collect the same core contact details and add their company or farm affiliation along with any professional background or activity that shows genuine involvement with supplementation technology. Please use AI-driven scraping or enrichment tools—Phantombuster, TexAu, Octoparse, Sales Navigator, or whatever combination you...

...standards implementation. The SDTM package is already complete, yet I’d like a fresh, expert review to be sure it aligns with the latest CDISC/FDA expectations before submission. Your main focus will be building the full ADaM layer—starting from detailed specifications through to validated datasets—while also performing a targeted quality check on the existing SDTM deliverables. Expect to work with SAS, Pinnacle 21, and 2.1 as part of the workflow. Deliverables I need from you: • Comprehensive ADaM specification document with clear derivations and terminology references • Production-ready ADaM datasets (.xpt and .sas7bdat) fully validated in Pinnacle 21 • (v2.1) and reviewer’s guide linked to both SDTM and ADaM metadata • Inde...

I have an Excel sheet that already contains a column of direct image URLs and a second column with the exact file names I want to use. I simply need every image downloaded once, saved as PNG, and delivered back to me in a single compressed folder. Please handle the task in Python so I can review or rerun the script later if the list is updated. Key poi...updated. Key points you’ll want to know: • Source links are ready—no site crawling logic needed beyond fetching each URL. • Images must be written as .png files, matching the file names specified in the spreadsheet. • I’d like the finished ZIP plus the Python script you used (requests, aiohttp, or another lightweight library is fine). I have residential proxies. That’s all—clean, o...

...business name, website/social media link, email, Instagram/LinkedIn/Facebook, country, and short reason why they are a good prospect. 3. Send outreach messages or emails using a script that we agree on. 4. Track responses in a simple spreadsheet. 5. Forward interested leads to me for follow-up or consultation. 6. Focus on quality leads, not random spam. Important: * Do not use fake leads. * Do not scrape irrelevant contacts. * Do not spam businesses. * Leads must be active businesses with visible online presence. * I prefer quality over quantity. Trial task: For the first milestone, I want 30–50 qualified leads with contact details and a short explanation for each lead. If the first trial is good, this can become a long-term collaboration. Please apply with: * Your pr...

I’m expanding my Amazon UK catalogue and I need a detail-oriented online-arbitrage partner who can uncover profitable wholesale opportunities for me. My current focus is on two broad arenas—Electronics plu...competition and brand restrictions • Confirm minimum order quantities and shipping costs • Calculate realistic net profit per unit Deliverables I need from you each week: 1. A spreadsheet of at least 10 fully vetted wholesale products that meet agreed profit and sales-velocity criteria. 2. Contact details and basic terms for each supplier you approached. 3. Screenshots or links from Keepa/SAS showing the supporting data. If you already have a proven sourcing system for Amazon UK and can hit those numbers consistently, let’s talk and get th...

...business name, website/social media link, email, Instagram/LinkedIn/Facebook, country, and short reason why they are a good prospect. 3. Send outreach messages or emails using a script that we agree on. 4. Track responses in a simple spreadsheet. 5. Forward interested leads to me for follow-up or consultation. 6. Focus on quality leads, not random spam. Important: * Do not use fake leads. * Do not scrape irrelevant contacts. * Do not spam businesses. * Leads must be active businesses with visible online presence. * I prefer quality over quantity. Trial task: For the first milestone, I want 30–50 qualified leads with contact details and a short explanation for each lead. If the first trial is good, this can become a long-term collaboration. Please apply with: * Your pr...

I need a small utility that tackles two tightly-linked jobs for me. 1. Scrape sold listings from • I paste any “sold” results URL into the tool. • The script parses the HTML (no login needed) and exports two separate CSV files with these exact headers in the stated order: Gatenavn, Husnummer, Husbokstav, Postnummer, Poststed, Boenhet, Boligtype, Finnlenke • Rules: – If the property is an apartment, leave Boenhet blank. – For every other type, set Boenhet to H0101. • One CSV should contain only apartments; the second holds every other property type. 2. Push data to our Supabase-hosted CRM • After export, the same script (or a companion script) uploads both CSVs to the relevant Supabas...

I want a repeatable, low-cost procedure for validating a single 12 Gb/s Seagate SAS hard drive on the bench. The end goal is to tell, with confidence, whether the drive still meets factory specifications, to pinpoint any failure mode if it does not, and to map or re-allocate every bad sector before the unit is returned to stock or scrapped. I also want to get insight into specific manufacturer commands. This disks are “signed” by the reseller so only the signed drives can be used in their machines and I want to understand that process and ideally be able to sign any commercial drive. This can be treated as a separated project. I may work in either Windows or Linux; Commercial licences are fine if they add real value, but free or open-source tools are preferable. I do ...

...business name, website/social media link, email, Instagram/LinkedIn/Facebook, country, and short reason why they are a good prospect. 3. Send outreach messages or emails using a script that we agree on. 4. Track responses in a simple spreadsheet. 5. Forward interested leads to me for follow-up or consultation. 6. Focus on quality leads, not random spam. Important: * Do not use fake leads. * Do not scrape irrelevant contacts. * Do not spam businesses. * Leads must be active businesses with visible online presence. * I prefer quality over quantity. Trial task: For the first milestone, I want 30–50 qualified leads with contact details and a short explanation for each lead. If the first trial is good, this can become a long-term collaboration. Please apply with: * Your pr...

...business name, website/social media link, email, Instagram/LinkedIn/Facebook, country, and short reason why they are a good prospect. 3. Send outreach messages or emails using a script that we agree on. 4. Track responses in a simple spreadsheet. 5. Forward interested leads to me for follow-up or consultation. 6. Focus on quality leads, not random spam. Important: * Do not use fake leads. * Do not scrape irrelevant contacts. * Do not spam businesses. * Leads must be active businesses with visible online presence. * I prefer quality over quantity. Trial task: For the first milestone, I want 30–50 qualified leads with contact details and a short explanation for each lead. If the first trial is good, this can become a long-term collaboration. Please apply with: * Your pr...

# Project Title Complete Shopify + Zoho One Implementation & Business Automation for Skincare Brand (Routinee) ## Project Overview We are launching **Routinee**, a premium science-backed skincare brand owned by **SAS Fashion and Retail Private Limited** (India). We are looking for an experienced freelancer or agency to implement our complete e-commerce and business operations ecosystem. The objective is to build a scalable D2C infrastructure using **Shopify** and **Zoho One**, fully integrated with payment gateways, shipping, inventory, CRM, accounting, customer support, marketing, AI, and social media channels. This is a long-term project with opportunities for ongoing maintenance and future enhancements. --- # Scope of Work ## Phase 1 – Shopify Store Setup * Sho...

I ...list; duplicates across files are not acceptable. • Companies must be classified as manufacturing • Headquarters must be in California; plant or satellite locations elsewhere are fine. Deliverables 1. A single CSV or Excel file containing 5,500 complete rows that meet the criteria above. 2. A short summary sheet describing your collection method, verification tool(s), and date range of the scrape. 3. Spot-check evidence (screenshots or profile URLs) for 2% of the records so I can confirm source accuracy. I’ll review the first 200 rows within 24 hours of receipt. If they meet the standards we’ll green-light the remaining batches; if corrections are needed, we’ll iterate quickly. Looking forward to your proven approach for high-volume, hi...

...Google. Those pages—and their images—should rank for the VIN and clearly display that the car was in an accident. I would also want to be able to delete the adds very easily and quickly once paid. Key requirements • Reliable scraper that can run on a schedule, handle site changes, and bypass basic anti-bot measures. • Central database to store VIN, images, accident notes, source URL, and scrape date. • Dynamic website (any modern stack is fine) that automatically creates an SEO-friendly page per record, pushes images with alt tags, and submits sitemaps so Google picks them up fast. • Admin panel where I can search by VIN, edit or unpublish a record, and set a payment status. • Payment gateway integration: after someone pays, their...

I’m working through the MyAgedCare provider pages one by one and have realised it will take far too long to finish manually. The site holds roughly 3,000 unique email addresse...). What I need is a clean, de-duplicated CSV containing every email that appears anywhere in those search results. No regional or provider-type filtering is necessary—the brief is simply “all emails on the site.” Please automate the scrape so nothing is missed, respect any rate limits to avoid being blocked, and give me a single CSV I can import straight into Excel. If you can turn this around quickly while guaranteeing accuracy, let’s get started.

My React + Node application currently runs on a single SQLite file and everything works exactly as I want. Now I’m ready to extend it with two small but important upgrades: 1. Scrape content from several specific websites I will provide and store that content in a brand-new database table/collection. The scraper can be written in Node (Puppeteer, Cheerio, Axios—whatever you prefer) as long as it runs headless on my VPS and can be triggered by a simple npm script or cron. 2. Convert the existing SQLite structure to MongoDB so the new scraped data and all current records live in the same database. This is a straightforward migration: replicate the current schema, migrate the data, then update the existing Node data-access layer so the rest of the app keeps behaving exact...

...Moneyline odds for Basketball, MLB, FIFA events—and is structured so I can easily add more sports later. • Compares those market prices to Bet365 and Pinnacle (with the code modular enough to plug in additional bookmakers on demand). • Converts each set of odds into implied probabilities, applies a fair-margin adjustment, flags any value bet where the fair price beats the bookmaker’s. • Writes every scrape in real time to a clean CSV: date/time, sport, league, teams, each bookmaker’s odds, fair probability, edge %. I’m comfortable providing the API key and any rate-limit notes once we start. Please keep dependencies light—pandas, requests, maybe python-dotenv are fine—and document the setup in a short README so I can run `python...

I already have the core idea, the tech stack (plain HTML, CSS and vanilla JavaScript), and a Heroku account ready; what I’m missing is the glue that turns all of this into a working, public-facing study tool. Pull text content from a specific site, parse the data into bite-sized Q&A pairs, read each card aloud through a multilingual text-to-speech API, schedule the cards with a spaced-repetition algorithm, and finally serves the whole experience from an Express server running on Heroku. Although I need solid help with the scraping and deployment steps, my biggest gap is the multilingual TTS layer—so be prepared to wire in an API such as Google Cloud, Amazon Polly, or another service that can handle multiple languages seamlessly. Deliverables • the contents of a sc...

I have a list of ten separate websites and need the full set of product information extracted from each one. For every item found, I want to capture about 10 fields—price, description, and the main image URL —so that I can quickly compare offerings across the sites. Please deliver the data in a single Google Sheets workbook, with a dedicated tab for each source site and clear column headers. So I can plan my budget, let me know your price per site along with an estimated turnaround time once you see the list and any anti-scraping measures that might require work-arounds. • If you already have tooling or scripts in Python, BeautifulSoup, Scrapy, Selenium, or similar, feel free to mention it—speed and reliability matter more to me than the specific stack.

I need an end-to-end referral engine that links local schools with real-estate agents, tracks deals, and turns every closed home sale into a $699 cash bonus for the school while we collect a 10 % success fee. Scope of work 1. Data acquisition • Scrape fresh contact lists from the three approved sources—school directories, real-estate listings, and relevant social-media profiles—then compile them into a clean CRM-ready file. 2. Outreach flow for schools • Build an email-only sequence that introduces the program, explains the $699 payout per qualified property lead, and guides administrators through sign-up. • Automate timing, personalisation, follow-ups, and opt-in handling. 3. Agent attraction campaign • Create persuasive di...

...area guide pages against competitors, identify content gaps, and generate actionable recommendations to improve our organic search performance. This is **not** a simple web scraping project. We're looking for someone with experience building AI agents using LLMs for content analysis, competitive intelligence, and SEO. ## Scope ### 1. Crawl and Extract Content The agent should: * Scrape our area guide pages * Scrape equivalent competitor pages (starting with Bayut) * Extract: * Main content * Heading structure (H1–H6) * Images and alt text * Internal links * Tables * FAQs * Lists * Structured data (if available) * Metadata (title, meta description) ### 2. AI Content Analysis Using an LLM, compare both pages and identify: * Missing topics and subtopics * Missing s...

I want to pull back the curtain on how Amazon Relay chooses which loads appear to which carriers and in what order. Your background in logistics technology is the key piece—please lean on any TMS, freight-matching, or marketplace algorithm knowledge you have. Here’s what I need from you: • Gather or scrape the data we need (whether through Relay’s web interface, an available API, or other creative collection methods). • Analyse that data to surface the ranking, visibility, and matching rules you can infer. • Translate the technical findings into plain language so I can use them in conversations with non-technical stakeholders. • Turn those insights into persuasive copy for an ad promoting a tool or service built around this knowledge...

Project Title:Node.js Expert Needed: Fix Local Scraping Script (Connection/Port 3000 Issues) & Optimize B2B Lead DashboardProject Description:I have a custom-built B2B lead generation tool called FixIt AI Agency Dashboard. The application is designed to scrape local business listings (e.g., plumbers in Dallas or Baton Rouge) and handle automated email application architecture is already built, but I am facing local network/connection issues when booting the server, and I need an experienced full-stack developer to help me get it running smoothly on my local Windows the App Looks Like Under the Hood:Backend (): Built on Node.js. It handles the core scraping logic, database management, and API calls. It is explicitly coded to run locally and listen on Port

...supplier prices with Amazon selling prices using tools such as Keepa, SellerAmp SAS, and Amazon Seller Central. Calculate ROI, profit margins, fees, and expected sales volume. Identify products with strong Buy Box opportunities. Recommend purchase quantities based on sales velocity and competition. Find authorized suppliers and help source products at the best prices. Assist with Amazon brand ungating applications and documentation. Create and optimize Amazon listings when required. Monitor competitors, pricing, and inventory opportunities. Ensure all products meet Amazon policies and requirements. Requirements: Previous experience with Amazon FBA, Online Arbitrage, or Wholesale sourcing. Knowledge of Keepa, SellerAmp SAS, BuyBotPro, or similar research tools. Understand...

...automation-driven schedule that grows my property brand’s audience to 1m views a day asap, organically across Facebook, Instagram, LinkedIn,,You Tube, Tik Tok. GOALS. Drive traffic to property disrupter website —no paid ads at all. The backbone will be n8n workflows, ai agents that listen for key triggers, property media - scrape news video, text etc (use new listings, market updates allready scraped and published to grow engagement) Instantly scrape content, repackage it with minimal editorial input. Spin up relevent content that feels local is useful and drives comments, engagement leads abd sales of knock knocks rental and listings products. Create. Short-form video hooks, carousel posts, blog snippets, attention-grabbing headlines,polls, reels, tik to...

I have a stream of numerical information being pulled automatically from several news sites, and I need that raw output cleaned, coded, and delivered in a tidy, analysis-ready format. The web-scraping side is already set up; what’s missing is a solid routine that parses each scrape, identifies the key figures buried in the articles, applies consistent codes to them, and drops everything into a structured file (CSV or JSON works for me). You’ll receive: • the current scraping script and a sample of the raw dump • a field dictionary showing how each number should be labeled or categorised I’m expecting your returned script (Python preferred—BeautifulSoup/Scrapy plus pandas is perfect, but use what you like) along with the final processed dataset a...

scrape/downlaod every single package and details page of each package

...metadata until I force-scrape each URL manually. I suspect the culprit is a conflict with Offload Media Lite (or the way media metadata is being stored after offloading), because I also receive the error message: “Error updating metadata: we ran into an error attempting to update metadata from all media in your library. RUN AGAIN” What I need from you: • Trace why Open Graph tags are not being output or recognised for new posts. • Check for and resolve any conflict between Offload Media Lite and the theme/SEO plugins that generate OG data. • Repair the media-library metadata routine so the above error disappears. • Verify the fix by running each affected URL through the Facebook debugger until title, image and description are picked up a...

...automation-driven schedule that grows my property brand’s audience to 1m views a day asap, organically across Facebook, Instagram, LinkedIn,,You Tube, Tik Tok. GOALS. Drive traffic to property disrupter website —no paid ads at all. The backbone will be n8n workflows, ai agents that listen for key triggers, property media - scrape news video, text etc (use new listings, market updates allready scraped and published to grow engagement) Instantly scrape content, repackage it with minimal editorial input. Spin up relevent content that feels local is useful and drives comments, engagement leads abd sales of knock knocks rental and listings products. Create. Short-form video hooks, carousel posts, blog snippets, attention-grabbing headlines,polls, reels, tik to...

...optimisation—everything else will build on that solid core. Here is the vision in practical terms. Using Python, TensorFlow, OpenAI APIs on a React/Node.js front-end, the system should learn from historical ad data, generate new creatives and audiences on the fly, launch experiments, and continually re-allocate budget to the best-performing ads. At the same time, I need back-end modules that ingest market data, scrape news sentiment, run technical indicators, and push predictive signals into interactive dashboards. PostgreSQL will handle storage; the entire stack will deploy to a scalable cloud environment. Deliverables for the first release • A working ML pipeline that ingests campaign performance from Google, Facebook, and LinkedIn, retrains models, and sends live ...

I need a clean, well-structured spreadsheet that captures every independent veterinary practice shown at The table on that page holds the basics, but the email addresses are only available once you visit each practice’s own website; please crawl those sites and pull the primary contact email for each practice. Everything should sit on a single worksheet. For every row include: • Practice name • Website URL • Contact telephone number • Email address you extracted Keep column headings clear, spellings exactly as they appear on the source page, and be sure each email belongs to the same practice shown in the row. A quick manual spot-check before delivery will help avoid mismatches. Deliver the final file as an .xlsx (Excel) or a shareable Google Sheet&mda...

I need a reliable way to pull every newly approved “citta” record from the Tamilnilam app for the whole of Tamil Nadu and keep it all neatly organised by approval date. The extraction has to capture every field the app exposes—user information, transaction details and any other content data—so I can later analyse trends, combine the feed with other systems and build internal dashboards. A daily (or on-demand) run that outputs a single Excel/CSV file is ideal; the file must list one row per approval and carry clear column headers. If the app offers an API you can call it directly; if not, headless browser automation or any other stable workaround is fine so long as it runs without manual clicks. Deliverables • A script or small application that logs in, navi...

I want to build a dataset for training a medical-assistant bot, so I need Image data that appears inside publicly available hospital reports across the web. The task is to locate those reports, extract every embedded image, and hand the files over to me in readable format I’m open to any solid, well-documented approach—focused web crawling, API use, or site-specific scraping—as long as it scales, respects each site’s terms of service, Please tell me which tools you prefer Deliverables 1. Working scraper or repeatable method with a brief setup guide. 2. First sample batch of at least 1,000 JPEG images for validation. 3. Short report describing sources, filtering logic Acceptance criteria • Only Image data is collected; no text extraction needed. &b...

...dependent variable is lymph-node harvest status (adequate vs inadequate). I need crude and adjusted odds ratios with 95 % confidence intervals, p-values, and a brief interpretation of each predictor. Please check model assumptions, report any multicollinearity diagnostics you run, and include goodness-of-fit output so I can judge the model’s reliability. I am flexible on software—SPSS, R or SAS are all fine—just tell me which you plan to use and keep the syntax/scripts so I can reproduce the results. Deliverables • Cleaned analysis-ready dataset (if any recoding is required) • Descriptive statistics tables • Logistic-regression output with ORs, CIs, p-values and fit statistics • Brief, plain-language summary of the key finding...

...(VPN): WireGuard auto-connect + per-domain exceptions (detail tradeoffs: IP routes, PAC/proxy, or namespaces). - Phase E (Polish): Full settings menu (including display confirm dialog, presets), wallpaper, themes, system features. - Phase F (Hardening): Security, updates, backups, testing. Critical Technical Notes - Kiosk: Use X11 for easier OSK and xdotool. - Icon fetching: Server-side scrape for og:image/favicon, cache locally. - Resolution safety: Apply change → confirm overlay → xrandr/tvservice revert on timeout. - CEC: Map Home to launcher, Back to browser back (Alt+Left). - VPN exceptions: Implement chosen option with scripts. - Security: Firewall, local-only or hashed password. Deliverables Produce the complete project step by step: 1) High-lev...

I want to build a dataset for training a medical-assistant bot, so I need Image data that appears inside publicly available hospital reports across the web. The task is to locate those reports, extract every embedded image, and hand the files over to me in readable format I’m open to any solid, well-documented approach—focused web crawling, API use, or site-specific scraping—as long as it scales, respects each site’s terms of service, Please tell me which tools you prefer Deliverables 1. Working scraper or repeatable method with a brief setup guide. 2. First sample batch of at least 1,000 JPEG images for validation. 3. Short report describing sources, filtering logic Acceptance criteria • Only Image data is collected; no text extraction needed. &b...