Web Scraping Jobs

I need contact details scraped from 1-2 matrimony sites for my matrimony venture. Requirements: - Experience in web scraping - Familiarity with matrimony sites - Ability to deliver data in organized format Ideal Skills: - Proficient in Python or similar languages - Knowledge of scraping tools like BeautifulSoup or Scrapy - Attention to detail and data accuracy Please provide samples of previous work and estimated delivery time.

I need contact details scraped from 1-2 matrimony sites for my matrimony venture. Requirements: - Experience in web scraping - Familiarity with matrimony sites - Ability to deliver data in organized format Ideal Skills: - Proficient in Python or similar languages - Knowledge of scraping tools like BeautifulSoup or Scrapy - Attention to detail and data accuracy Please provide samples of previous work and estimated delivery time.

I need the current probate filings for Harris, Travis, and Williamson counties in Texas systematically investigated and scraped so I can pinpoint estates where the property owner lived in Texas but the heirs now reside elsewhere. The end goal is a clean spreadsheet that lets me reach those out-of-state heirs, discuss their financial interest, and step into their place in the probate process. Scope of work • Locate every active probate case in the three counties. • Capture heirs’ contact details (names, mailing addresses, phone/email when available), the associated property details (street address, parcel/lot, assessed value if posted), and the present case status. • Verify that at least one heir’s address is outside Texas or flag the record if residency is...

I need the current probate filings for Harris, Travis, and Williamson counties in Texas systematically investigated and scraped so I can pinpoint estates where the property owner lived in Texas but the heirs now reside elsewhere. The end goal is a clean spreadsheet that lets me reach those out-of-state heirs, discuss their financial interest, and step into their place in the probate process. Scope of work • Locate every active probate case in the three counties. • Capture heirs’ contact details (names, mailing addresses, phone/email when available), the associated property details (street address, parcel/lot, assessed value if posted), and the present case status. • Verify that at least one heir’s address is outside Texas or flag the record if residency is...

I am putting together a comprehensive reference database to guide upcoming product-development decisions. The goal is to catalogue a minimum of 10,000 iOS and Android titles drawn from every country and language available on the App Store and Google Play, covering both free and paid listings. The core data fields I need captured for each entry are: • App / tool / product name • Supported platform (Apple, Android, or both) • Company or developer, when publicly listed • Primary task, activity, or use-case the app addresses • Country or region of origin (if identifiable) • Language(s) in which the listing is published • Direct store URL for verification (if available) Please deliver the final dataset in a clean, de-duplicated CSV or Excel fil...

I need web research and data collection to gather product specifications. The data will be sourced from online retail websites. Requirements: - Accuracy and attention to detail - Experience with data entry and web research - Ability to work independently and meet deadlines Ideal Skills and Experience: - Proficiency in using online retail platforms - Prior experience in collecting and organizing product data - Strong organizational skills

When I search for preferred mobile numbers on the Jio Self-Care portal, the site blocks further queries after a short burst of activity and keeps me locked out for roughly 20–22 hours. All signs point to a request-based rate-limiting mechanism. Your job is to dive into the traffic, confirm exactly how that limit is enforced, and then craft a sustainable fix by elevating or adjusting the account-side privileges rather than relying on short-lived technical hacks. Here is what I expect: • Packet-level and header analysis to pinpoint the trigger condition (endpoint, count, timeframe, hidden token, etc.). • A documented explanation of the underlying rate-limit logic. • A practical solution centred on improving the account’s standing/privileges so searches can...

I’m putting together a database of 50,000 Australia-based companies and need each record to include the company’s domain together with the current Managing Director or CEO’s full name. Please outline the sources and techniques you would rely on to reach both the volume and the accuracy I’m after. Deliverable • A clean CSV or Excel file containing at minimum: – Company name – Primary domain – Managing Director/CEO full name Data quality is more important than sheer speed. I’ll run random spot checks—records that bounce or point to the wrong leadership will need replacing. If you already have partial Australian datasets that can legally be merged into the scrape results, let me know; I’m open to blended appr...

1. Project Title (Titel)Real-Time Car Search Web-App with Split-Screen and Phoner Dialer - Hetzner VPS Setup2. Project Description (Beschreibung)ATTENTION: You must start your application with the word "SNIPER" to prove you read the whole description. Automated generic bids without this word will be deleted instantly!I am an experienced automotive buyer looking for a highly skilled Python or Node.js developer to build a custom, private real-time car search web application. The backend will run 24/7 on a Hetzner Cloud VPS (Ubuntu). I will access the password-protected frontend via desktop Google core requirement is an aggressive 1-2 second scraping frequency across 3 major car trading platforms using rotating Residential Proxies (I already have an active account with Decodo / Sma...

I am looking for an experienced Python developer to build a lightweight, cost-effective Telegram Bot that extracts hidden property data from UAE real estate portals (specifically Property Finder and Bayut). The bot's workflow must operate as follows: 1. The user inputs a specific listing URL into the Telegram chat interface. 2. The Python backend fetches the listing data, securely bypassing anti-bot/Cloudflare protections by routing requests through an unblocking API gateway (such as ScraperAPI, Webshare, or standard residential proxies). 3. The script extracts specific hidden backend variables embedded within the webpage's HTML data layer (such as the `__NEXT_DATA__` JSON framework). 4. The bot returns a structured summary back to the user displaying: Property Unit Number, Pr...

I need a reliable data-scraper who can pull clean, non-spam-flagged email addresses for companies in my local market. All addresses should be sourced directly from company websites, their social media profiles, and reputable business directories—nothing scraped from questionable lists. Please structure the results in a single Excel spreadsheet so my team can sort and filter with ease. At minimum, every row must include a working email address; if you happen to capture basic contact details (company name, phone, street address) while you work, feel free to include those in adjacent columns, but the email is the critical field. Before delivery, validate each address to avoid hard bounces or obvious spam traps. Any toolset is fine—Python, Scrapy, Hunter, NeverBounce, or simi...

I’m expanding a highly-targeted outbound campaign and need a clean database of real, active mobile numbers taken from U.S. users on Amazon, Walmart, LinkedIn and, where feasible, Facebook. The data will be used strictly for marketing outreach, so accuracy and recency matter more than sheer volume. What I’m after • Verified mobile phone number • User’s display name (or profile name) • Platform source (Amazon, Walmart, LinkedIn, Facebook) • Any publicly visible demographic hints that match the filters below Target filters • U.S.-based profiles only • Age brackets that can be inferred (18-75 preferred) Acceptance criteria • 95 %+ of the numbers must connect (ring through) when spot-checked • No duplicates across pl...

Location: Vietnam Industries: Mainly distributors and retail chains in the food sector: business, traders, wholesalers, food importers and distributors, grocery shops, HoReCa Data scope: Company name 100% Address 60% or more Email 100% Phone number 45% or more Industry 100% Number of records in the database: 3,500 new contacts (no duplications with my list)

I have a Google Sheets file that holds the names and current employers of ~1500 scientists. Your job is to add two reliable data points for every person—an up-to-date, work-appropriate email address and their LinkedIn profile URL. Accuracy is critical, so please cross-check multiple sources such as company directories, institutional pages, Google Scholar contact sections, Hunter, Sales Navigator, or similar tools before adding anything to the sheet. I will run random validations; any bounce-backs or mismatches with the listed company will be considered incomplete. Deliverables • The original Google Sheet returned with two new columns: Email and LinkedIn URL, filled for each scientist. • A short note (at the end of the sheet) explaining any names you could not verify and...

Enterprise-Grade Data Acquisition & Document Intelligence Platform Project Description: We are seeking an experienced Full-Stack Developer or Development Team to build the MVP of a large-scale document acquisition, processing, and intelligence platform. The objective is to automatically collect documents and metadata from multiple public and semi-public web sources, normalize the data into a unified structure, store documents in a central repository, and expose the information through APIs and administrative dashboards. Scope of Work: • Build scalable web crawlers and source-specific adapters. • Automate document discovery and downloading (PDF, DOC, DOCX, XLS, ZIP and other formats). • Extract and normalize metadata from multiple sources into a unified schema. &bul...

I need a web scraper / data extraction to collect structured business data for all Supermarkets and Hypermarkets listed on across the UAE. --- **Data Fields Required:** - Business Name - Contact Number (Landline) - Mobile Number - Email Address - Full Address - Emirate (Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah, Umm Al Quwain) - Website URL - Business Category / Sub-category (e.g. Supermarket, Hypermarket, Mini Mart) - Social Media Handles (if listed – Instagram, Facebook, WhatsApp) --- **Deliverable:** - Clean, deduplicated data in Excel (.xlsx) and CSV format - One row per business location (not per brand) - Separate column for each emirate for easy filtering - No blank/junk rows; all columns properly labeled --- **Requirements:** - Proven experience scrapin...

I have about 5000 business names with about 100 columns of other data for each in 12 CSV files (much of the information I do have is unimportant but I can delete the columns I don't need- the information might be handy to find the things I do need). I need to extract information as well as add to this. Some businesses have the owner's name already, many do not, and sometimes it will say it's the owner's name but it's incorrect - so all will need to be checked) with an accurate email addresses for the owner, (preferraby not just the info @ business. com). I need to: -pare down the business names to those that meet my requirements: -turn these into one google sheet -add current, accurate business addresses -confirm that the business is still in operation -not a fr...

I have about 5000 business names with about 100 columns of other data for each in 12 CSV files (much of the information I do have is unimportant but I can delete the columns I don't need- the information might be handy to find the things I do need). I need to extract information as well as add to this. Some businesses have the owner's name already, many do not, and sometimes it will say it's the owner's name but it's incorrect - so all will need to be checked) with an accurate email addresses for the owner, (preferraby not just the info @ business. com). I need to: -pare down the business names to those that meet my requirements: -turn these into one google sheet -add current, accurate business addresses -confirm that the business is still in operation -not a fr...

I already monitor a handful of well-known online retailers with Playwright scripts, but a recent round of site changes and Cloudflare tweaks has broken several of them. I need an investigator more than a scraper: someone who can step through the JavaScript, map new DOM paths, trace hidden XHR / fetch calls, and patch or rewrite the logic so pricing information is captured accurately again. What you will tackle • Analyse each failing script, identify why the price node or API endpoint now returns nothing, and document the root cause. • Reverse-engineer any new front-end obfuscation, lazy-loaded content, or anti-bot measures that stand in the way. • Where Cloudflare is involved, adjust Playwright settings or introduce lightweight work-arounds (rotate fingerprints, tweak...

I need a reliable script that pulls specific text content from a particular website each day and appends the results to a clean, well-structured CSV. The crawl has to run automatically on a 24-hour schedule, capture only the text I specify, and overwrite or update the file so I can download it at any time. Please handle the full workflow—from parsing the HTML through a stable method (Python with Requests + BeautifulSoup, Scrapy, or a comparable stack) to setting up the daily trigger (cron job, cloud function, or Windows Task Scheduler). The script must cope gracefully with minor layout changes and alert me if anything breaks. Deliverables • Fully commented source code • One sample CSV generated from a test run • Setup notes so I can deploy the job on my own ser...

I have about 5000 business names with about 100 columns of other data for each in 12 CSV files (much of the information I do have is unimportant but I can delete the columns I don't need- the information might be handy to find the things I do need). I need to extract information as well as add to this. Some businesses have the owner's name already, many do not, and sometimes it will say it's the owner's name but it's incorrect - so all will need to be checked) with an accurate email addresses for the owner, (preferraby not just the info @ business. com). I need to: -pare down the business names to those that meet my requirements: -turn these into one google sheet -add current, accurate business addresses -confirm that the business is still in operation -not a fr...

I need a full-stack web application that lets my users build their own wagers in one place, then push those exact bets straight to DraftKings and FanDuel. The flow I have in mind is simple for the bettor but technically involved behind the scenes, so I’m looking for someone who already understands sportsbook APIs, web scraping, or compliant browser automation. Core user experience • Users log in, connect their DraftKings and/or FanDuel accounts (OAuth or secure credential vault—whatever the platforms allow). • On the dashboard they see football, basketball and baseball markets first, with the architecture flexible enough to bolt on additional sports later. • For every market the user drags sliders to set custom odds, spreads or player-prop lines. As the va...

I need a small, dependable application that signs in to my personal account on the official World Cup ticketing site, keeps an eye on the inventory pages 24/7, and emails me the instant a new batch of tickets appears. Core monitoring requirements • Price changes • Section availability • Amount of tickets available If any of those fields update—whether a lower price posts, a blocked-off section opens, or additional seats are released—I want a single concise email that lists the match, section, quantity, and price, plus a direct link so I can check out fast. Key expectations • Headless login and session refresh handled automatically (cookies / tokens maintained without manual intervention). • Polling interval configurable so I can strike th...

I’m looking for an experienced web-scraping specialist to capture detailed product information. The target sites are e-commerce and marketplace style domains; I’ll share the exact URLs once we’ve agreed to proceed.

I currently copy price, review count, star rating and the ASIN or FSN for each of my catalogue items from and into one Google Sheet every single day. I now want that entire routine converted into code. Here’s what I need built: • A web-scraping script (Python, Node or similar—happy to hear your suggestion) that reads a list of product URLs or IDs, grabs the current selling price, total reviews, average rating and the same ASIN/FSN, then writes everything to a single master Google Sheet. • A date-stamped row for every product so historical pricing and rating trends are preserved. • Automatic execution once every 24 hours at a fixed time I can edit later; a simple cron job, Cloud Function or Apps Script trigger is fine. • Basic resilience against com...

Please compile a clean Excel list of 500–1,000 London letting agencies, concentrating on independents with 1–5 branches and mid-size firms with up to 20 branches. I need full city coverage rather than limiting the search to specific boroughs or postcodes. Required fields for every record: • Company name • Website URL • Main phone number • Office location (address or at least postcode & borough) • Email address of the Lettings Manager or Property Manager or branch manager Accuracy is essential: avoid duplicates, outdated details, or generic info@ addresses wherever possible. If an agency runs multiple offices, count it once unless each branch functions as a separate letting office; in that case, include each branch on its own row and not...

Hiring a data scraping expert proficient in Python. In addition to extract, should provide source code as well. Key Requirements: - Extensive experience in data scraping USA websites. - Previous experience in overcoming anti-scraping mechanisms. - Proficiency in Python and understanding of its libraries for web scraping. - Familiarity with paid proxies and can effectively utilize them.

I need a streamlined, end-to-end solution that lets me sell destination wedding services without manual chasing. Lead sourcing • I want a scraper that routinely pulls fresh contact details for wedding directors inside major hotel groups. The data should drop directly into the same database or CRM that powers the rest of the funnel. Email engine • From that database I should be able to launch batch campaigns, trigger timed follow-ups, and run a fully automated sales sequence from first touch through final contract. Think of it as a miniature CRM workflow: sign-up confirmation, nurturing emails, proposal delivery, reminder nudges, and hand-off to my team once a deal closes. Tech expectations • Happy for you to suggest the best stack—WordPress, Webflow, or a lig...

I have a very short one-off job: visit a public website, locate a specific piece of content I’ll share after award, and leave a visible rating. That’s it—no account creation, no surveys, no ad clicks. The whole process takes a couple of clicks and should be finished in under a minute. What I need from you • Use a regular desktop or mobile browser (no VPN or proxy). • Follow the link I provide, add the content rating, send me a quick screenshot as proof. As soon as I can confirm the rating has appeared on the site, I’ll release the $5 payment immediately. Perfect micro-task if you have a spare moment and want a quick, guaranteed payout.

I need a freelancer to create a comprehensive database of publicly available contact information for a specified list of names. The database should include: - Email addresses - Phone numbers - Mailing addresses - Titles and assistants - Work and home addresses - Instagram profiles Ideal skills and experience: - Experience in data collection and database creation - Familiarity with public data sources - Attention to detail and accuracy - Proficiency in using data management tools - filling out the following Salutation FirstName MiddleInitial LastName Nickname Suffix Title Company EmailAddress1 EmailAddress2 BusinessPhone MobilePhone HomePhone BusinessFax AssistantFirstName AssistantLastName AssistantEmail Assistantemail2 AssistantPhone BusinessAddressLine1 BusinessAddressLine2 BusinessCi...

I need every Word document (.doc/.docx) and audio file linked to my personal account copied off a password-protected website that is not Google Drive, Dropbox, or OneDrive. I will supply my login credentials; once signed in, the files appear on several different pages, so the solution must crawl through each page, follow the links, and pull down every relevant file. I’m happy for you to use Python (requests, BeautifulSoup, Selenium, or Playwright), Node, or another language you prefer, as long as the script can handle any hidden pagination or dynamic loading the site may use. At the end I want two things: • A neatly organised download of all the Word docs and audio files, grouped in folders or a single zip so I can review them quickly. • The reusable script (with br...

I run an online grocery shop and need my catalogue spreadsheet completed. You will receive two things from me: a ready-made Excel template and a list of product names. The list covers fruits and vegetables, packaged goods, beverages, and a few cake items. Your task is to search each product, collect its accurate details—brand, variant, weight/volume, MRP, short description, category code exactly as shown in the template—and attach a clear, high-resolution product photo. Simply paste the image URL if the sheet allows, or embed the picture directly if that format suits you better; just stay consistent with the template rules. Acceptance criteria • Every row from my list is filled with complete, error-free data. • Photos are sharp (minimum 800 px on the longer ...

I need a clean, accurate database of 30,000 Australia-based executives. C-suite roles are the priority, but I’m open to a healthy mix of senior decision-makers if that helps reach the target count without sacrificing data quality. The list must be delivered in CSV or Excel and include, at minimum, each executive’s name, job title, company, direct email, direct phone (mobile or direct line preferred), and a working LinkedIn profile URL. I will spot-check the file, so a bounce rate under 5 % is essential and generic addresses (info@, admin@, etc.) will be rejected. You are free to pull from any reliable source—LinkedIn Sales Navigator, ZoomInfo, company websites, industry directories, or verified web scraping—so long as the information is recent and complies with A...

I need a clean, ready-to-use list of 30,000 verified executive contacts based in Canada. Every record must include all of the following fields: • Name and job title • Company and contact email (work email only, no info@ or hello@) • Direct phone number • LinkedIn profile URL I am open to any industry and seniority band as long as each contact is truly at an executive level and actively employed. Data quality is paramount. Please run emails through a verification tool such as NeverBounce, ZeroBounce or equivalent so the final bounce rate remains under 5 %. Phone numbers must connect directly to the executive or their office, not a generic switchboard. Deliverables: 1. A sample of 200 leads so I can validate format and accuracy. 2. The full 30,000-row file i...

Hi, We're looking for web scraping specialists or data engineers who extract data, whether at small scale or at scale on behalf of clients, to evaluate a new tool that's currently live. Freelancers we've shown it to are cutting scraping time by 3x or more and saving over 90% on LLM token costs at scale, with no AI hallucinations, taking on far more clients without the extra overhead. We're looking for freelancers to test it, share feedback, and see if it can have the same impact for you. A 15 minutes call is all we need. Thanks!

About Us: We are an internationally active education services provider offering training, qualification programs, and learning solutions across multiple markets. To strengthen our business development, we are looking for an experienced freelancer to build an automated AI bot that identifies relevant public tenders and procurement opportunities in the education sector. Project Overview: The bot should automatically scan tender portals at regional, national, and international levels, filter results based on defined criteria, and integrate findings into our internal systems (tbd) — enabling our team to respond to relevant opportunities faster and more efficiently. Portals to Cover: - Regional: State/municipal procurement platforms (focus: Germany) - National: e.g. DTVP, evergabe, , BA...

I’m looking for a reliable freelancer to take online information I provide—web pages, PDFs, and spreadsheets—and enter it accurately into my designated format. Most tasks involve copying data from websites into an Excel sheet, checking for duplicates, and flagging any missing fields. The source material is entirely online; you won’t need to handle physical documents or offline files. Speed is important, but precision matters even more. I’ll supply clear instructions, sample rows, and a shared Google Sheet so we can track progress in real time. Deliverables • Fully completed spreadsheet with every required field filled in • Consistent formatting that matches the sample rows • A brief note highlighting any ambiguous or missing entries ...

I want to move away from copying information by hand and instead capture it automatically from a set of websites I will supply. Your job is to build a reliable automated data-entry workflow that pulls the required fields from those pages and places them neatly into my preferred format (Excel or CSV is fine). Key points I need: • A script, macro, or low-maintenance tool that visits each URL, extracts the designated data, and appends it to the spreadsheet without duplicates. • Error handling for missing pages or layout changes so the run doesn’t stop mid-way. • Simple instructions so I can trigger the process myself and adjust the target file path when needed. If you already have experience with web scraping libraries like BeautifulSoup, Selenium, or similar,...

Fixed Fee $20. I need only working valid official links. I’m refreshing our Technical Support knowledge base and need a meticulous freelancer to hunt down every specific link we’ll reference. The task is purely manual: browse the official site, identify the exact URLs I’ll point you toward, and capture them in a tidy spreadsheet so our internal documentation stays accurate and future-proof. Scope of work • Navigate the official website’s sections relevant to Technical Support. • Locate and verify each specific link I request (no scraping tools—manual confirmation only). • Record the URL, page title, and a one-line description in a shared Google Sheet. • Flag any broken or redirected links you encounter. Acceptance criteria &bul...

I need a fully-functioning, AI-driven lead engine that continually discovers and wins over commercial builders, luxury residential developers, architects, and contractors across Pune before competitors reach them. The workflow starts with safe, compliant scraping. The agent must pull fresh data every day from Government websites (think RERA approvals or tender notices), leading real-estate portals, and relevant social-media chatter. Raw records then flow into an enrichment layer that adds direct phone numbers, verified emails, and firmographics, with a special focus on Project Managers and Purchase Heads. Once the contacts are clean, the same system should launch automated outreach campaigns—email sequences, LinkedIn touches, or WhatsApp nudges—while an AI tracker watches for...

У меня есть таблица из 742 Эмитентов которые торгуются на MOEX в рамках учебного проекта, там есть пара ключевых метрик которые надо заполнить со страницы "Эмитенты MOEX", а именно столбцы: 1) H "Капитализация, млн руб" - реальная метрика с внешний реурсов о том сколько стоит компания (ссылку подтверждения разместить после столбца L) 2) J "Отрасль" (заполняется как значение с листа "Сектора" столбца B 3) K "Официальный сайт Компании" (ссылка на официальный ресурс компании, именно этой ) 4) M "Официальный страница с новостями эмитента" (страница с официального сайта компании там где они публикуют новости) 5) N "Официальный страница финансовой отчетностью" (Страница сайта эмитента где они публикуют PDF и excel версии их ау...

I'm looking for a developer to create a Discord bot that will track the availability and price changes of One Piece booster boxes and sealed cases across multiple websites, including eBay, Amazon, and specialty card stores. Key functionalities include: - Send alerts for stock availability and price changes - Monitor eBay, Amazon, and specialty card stores - Deliver alerts via channel notifications on Discord Ideal Skills and Experience: - Experience with Discord bot development - Familiarity with web scraping or API integration - Knowledge of Discord's notification system - Ability to manage multiple data sources efficiently Please provide examples of similar work if possible.

I currently have to place more than 80 documents into our internal company CMS by hand. For every file I must choose a document category, set the correct access level and fill in a few metadata tags before the upload is accepted, so the process is slow and error-prone. What I need is a small, repeatable solution—whether that’s a Python script, a browser automation routine (Selenium, Puppeteer, Playwright, etc.), or a lightweight CMS plugin—that can read a folder of files, match each one with a simple mapping sheet (CSV/Excel) for its category, access level and tags, then push everything into the portal automatically. Key points • CMS type: proprietary internal portal (not WordPress/Joomla/Drupal). • Actions per document: choose category, assign access ...

У меня есть таблица из 742 Эмитентов которые торгуются на MOEX в рамках учебного проекта, там есть пара ключевых метрик которые надо заполнить со страницы "Эмитенты MOEX", а именно столбцы: 1) H "Капитализация, млн руб" - реальная метрика с внешний реурсов о том сколько стоит компания (ссылку подтверждения разместить после столбца L) 2) J "Отрасль" (заполняется как значение с листа "Сектора" столбца B 3) K "Официальный сайт Компании" (ссылка на официальный ресурс компании, именно этой ) 4) M "Официальный страница с новостями эмитента" (страница с официального сайта компании там где они публикуют новости) 5) N "Официальный страница финансовой отчетностью" (Страница сайта эмитента где они публикуют PDF и excel версии их ау...

I am looking for a reliable Virtual Assistant to help me monitor Spain visa appointment availability on the official BL Spain Chile website. Responsibilities: 1. Manually check the official booking page during Chile business hours 10:00 AM - 6:00 PM CLT 2. Refresh the appointment page every 2-3 minutes and send me an instant message on Telegram/WhatsApp if any new dates appear 3. Send me a daily report at 6:00 PM with any announcements posted by BLS 4. Help me organize all required documents and keep my booking information ready for quick manual booking Important Rules - Please Read Carefully: - NO automation, NO bots, NO scripts, NO scraping tools, NO API calls - Only manual checking using a normal web browser - Must follow all BLS Spain Terms of Service at all times - You will work us...

We are a fast-growing startup agency with a dedicated division focused on delivering high-quality, high-converting leads to multiple business sectors, including Insurance Brokers, Mortgage Brokers, Real Estate Brokers, and similar professional services. As a startup, we are actively building our network of go-to experts to partner with in the near future to scale our lead generation capabilities. Please note: We are not just looking for standard Google Ads or Facebook Ads media buyers. We are looking for an innovator who leverages advanced AI tools, automation platforms, and modern outbound/data frameworks to source and nurture high-intensity leads. What we are looking for: - AI-Assisted Multi-Channel Lead Sourcing: Using AI tools, data scrapers, and predictive intent platforms to find, ...

I have four Google Sheets—one each for roofing, siding, decking, and exterior painting—already populated with every material my crews use. Alongside those sheets I’ve compiled a complete set of manufacturer URLs for each item. Your task is straightforward: open each sheet and turn every material name into a clickable link that points to its corresponding manufacturer page. Key details • Platform: Google Sheets only. • Display style: the link must be embedded in the material name itself, not in a separate column. • Source links: I will supply a clean list of verified manufacturer URLs; no web-searching is required. Deliverable • Four Google Sheets returned with every material cell hyperlinked and the original wording, o...

BLUE / GREEN. I am seeking a data mining and lead generation specialist to build a highly targeted B2B contact list in Excel/Google Sheets. This is a data-gathering project focused entirely on two specific industries within the United Kingdom: SEGMENT 1: UK Warehousing & Logistics - Target: Medium-sized warehouse, supply chain, and fulfillment companies across the UK. - Target Decision Makers: Operations Directors, Warehouse Managers, HR Managers, Health & Safety Officers. SEGMENT 2: UK Healthcare & Care Facilities - Target: Medium-sized private care homes, residential care facilities, and hospices across the UK. - Target Decision Makers: Care Home Managers, Registered Managers, Clinical Directors, HR Directors. REQUIRED DATA FIELDS PER ROW: 1. Company/Facility Name & ...

I need a freelancer to verify and update a spreadsheet of company contacts. The task involves checking if companies still exist and if the contacts are still valid. If a contact is no longer valid, please replace them with someone of a similar title. Requirements: - Utilize online search and validation for verification. - Preferred sources: Company website, LinkedIn, Industry directories. Ideal Skills & Experience: - Proficiency in using LinkedIn and industry directories. - Attention to detail. - Experience with online research and data validation. - Familiarity with spreadsheets for updating information.

We need a Python-based automation system to monitor and process ~10 airline bookings/PNRs per day using Amadeus (read-only operations). Core Requirements: * Automate login and navigation in Amadeus using Playwright (browser automation) * Scan PNR queues and extract booking/fare details * Identify ticketed vs unticketed PNRs * Run scheduled checks (cron or background worker) * Store data in a database (SQLite or PostgreSQL) * Generate simple reports (Excel or dashboard optional) Technical Stack: * Python (core backend logic) * Playwright (browser automation) * PostgreSQL/SQLite (data storage) * Optional: FastAPI for API/dashboard * Optional: LLM integration for edge-case interpretation Scope: * Small-scale system (~10 PNRs/day) * Read-only automation only (no ticketing, cancellation, ...