The ultimate guide to hiring a web developer in 2021
If you want to stay competitive in 2021, you need a high quality website. Learn how to hire the best possible web developer for your business fast.
Web Scraping is the process of extracting data or information from an online source such as a website, database, application, etc. Web Scraping Specialists have the skill that helps people collect valuable digital data and quickly find the useful information they need from websites, mobile apps, and APIs. The experts usually use web scraping tools and advanced technologies to collect large amounts of targeted data without any manual work for the client.
With web scraping, tasks that otherwise may require a lot of time can be automated and done faster. Our experienced Web Scraping Specialists use their expertise to develop scripts that continuously target structured and unstructured data sources.
Here's some projects that our expert Web Scraping Specialist made real:
Web Scraping Specialists are skilled professionals who know how to help businesses optimize processes while collecting rich structured data they need for their specific purposes. Our experts fasten the process and return accurate results in less time, so that the customer can make better decisions more quickly without any manual labour. If you are looking for a talented professional to make a web scraping project for you, you have come to the right place. Here in Freelancer.com you can find talented professionals who will get the job done with top quality results! Post your project now and see what our Web Scraping professionals can do for you!
De 364,834 opiniones, los clientes califican nuestro Web Scraping Specialists 4.9 de un total de 5 estrellas.Web Scraping is the process of extracting data or information from an online source such as a website, database, application, etc. Web Scraping Specialists have the skill that helps people collect valuable digital data and quickly find the useful information they need from websites, mobile apps, and APIs. The experts usually use web scraping tools and advanced technologies to collect large amounts of targeted data without any manual work for the client.
With web scraping, tasks that otherwise may require a lot of time can be automated and done faster. Our experienced Web Scraping Specialists use their expertise to develop scripts that continuously target structured and unstructured data sources.
Here's some projects that our expert Web Scraping Specialist made real:
Web Scraping Specialists are skilled professionals who know how to help businesses optimize processes while collecting rich structured data they need for their specific purposes. Our experts fasten the process and return accurate results in less time, so that the customer can make better decisions more quickly without any manual labour. If you are looking for a talented professional to make a web scraping project for you, you have come to the right place. Here in Freelancer.com you can find talented professionals who will get the job done with top quality results! Post your project now and see what our Web Scraping professionals can do for you!
De 364,834 opiniones, los clientes califican nuestro Web Scraping Specialists 4.9 de un total de 5 estrellas.Desarrollo de herramienta para extraer y organizar contactos de Gmail Necesito una herramienta sencilla, reutilizable y segura para extraer contactos históricos de dos cuentas de correo. La primera cuenta es Gmail y tiene una etiqueta con aproximadamente 272 conversaciones procedentes del formulario de contacto de una web. Necesito extraer nombre, email, teléfono, empresa, fechas y contenido relevante, y detectar duplicados, obteniendo el resultado en Excel o Google Sheets. Posteriormente quiero incorporar una segunda cuenta de correo profesional y poder realizar nuevas búsquedas y extracciones sin tener que desarrollar otra herramienta. La herramienta debe utilizar Gmail API / Google Apps Script o una solución equivalente y tener acceso únicamente de lec...
Necesito automatizar la extracción periódica de datos públicos con Python y transformarlos en conjuntos listos para análisis interno. El objetivo principal es contar con un script robusto de web scraping que capture la información relevante, la limpie, la normalice y la almacene en un formato estructurado (CSV o base SQL) manteniendo la trazabilidad de cada registro. Alcance general • Desarrollar un scraper en Python (Scrapy o BeautifulSoup + Requests; Selenium sólo si es indispensable) capaz de recorrer las fuentes indicadas y salvar bloqueos comunes como paginación, cambios de DOM o limitaciones de tráfico. • Diseñar lógica de actualización trimestral: al ejecutarse, el código debe identifi...
black hat seo for google tripadvisor thefork and all the platforms
I have around 2000 company names and need a reliable freelancer to search Google and company websites and collect accurate contact details. Required Data: Company Name Official Email ID Mobile Number only – No Landline Source URL Excel or Google Sheets Payment:1000 company / ₹700 valid leads. Fix price Before starting the full project, you will need to complete 5 sample companies. If the sample is accurate, we will proceed with the remaining companies.
I’m sitting on a CSV/Excel dataset of roughly 200,000 Glasgow real-estate listings. Each record already carries a free-text property description, but nothing else has been standardised or verified yet. What I need now is a thorough data-clean-up and structuring pass so the file becomes immediately usable for analysis, dashboards, or import into a database later on. Core tasks • Load the Excel/CSV, remove obvious duplicates and empty rows • Parse and normalise key fields you can extract from the descriptions (e.g., bedrooms, property type, postcode, square footage if present) – the richer the capture, the better • Flag listings with missing critical info so I can review them quickly • Deliver a final, well-formatted CSV/Excel plus a short summary...
I have roughly 1,600 JPEGs—each product is shown twice, a “before scrap” shot and an “after scrap” shot. The file names are completely random, so the only way to identify each item is by reading the product number that appears inside every photo. None of those numbers, or the corresponding product names, are captured anywhere else yet. Your task is to go through the entire folder, match every “before” image with its correct “after” counterpart, read the product number that is printed on the image itself, and build a clean Excel file. In the sheet I need one row per product with these columns: • Product Number (extracted from the image) • Product Name (also taken from the image text if present) • Before-Image (embedd...
We are looking for an experienced Client Acquisition / Business Development Partner to help us find new clients for our customer support agency. How it works: You find and approach potential clients in the USA and UK. You identify businesses that may need Virtual Assistant or remote support services. You introduce qualified prospects to us. We handle the sales call, proposal, negotiation and closing. Once the client signs up and makes their payment, you receive your commission. If the prospect does not convert into a paying client, there is no payment. Commission: 20% of the client's first month's payment. For example, if you bring us a client who pays $2,000 for their first month, you receive $400. This is completely performance-based. There is no hourly payment, monthly re...
The project involves web-crawling Glassdoor review text and other relevant information for a predefined list of U.S. publicly listed companies. The main objective is to extend an existing Glassdoor dataset, which currently covers data through 2021, to include observations from 2021 through the end of 2025. The work will include identifying and matching the correct Glassdoor company pages for each firm, collecting available employee reviews and associated metadata, and organizing the collected information into a structured dataset. The new data should follow the structure of the existing dataset as closely as possible. I will provide a sample file from the existing dataset. The current data include fields such as company identifiers, review ID and date, review title, employment status, jo...
I need a robust script or small pipeline that pulls fresh data from a set of e-commerce sites once a week. Each run should capture product details and prices, customer reviews, plus any sales or promotional information that is live on the site at the moment of scraping. My priority is accuracy and consistency: the scraper must handle pagination, variant listings and occasional layout changes without manual fixes, and it should respect each site’s while rotating user-agents or proxies to avoid blocks. Python with Scrapy, Selenium, BeautifulSoup or Playwright is perfectly fine—use whatever you are most efficient with, provided the solution runs headless and can be triggered by a simple cron job or cloud function. For every weekly crawl I expect two outputs: • A clea...
Collect this information about 1300 Listings - 72 pages 19 listings each Company: Industry: Website: Level: (By pressing + ) Phone: Address: Contact: Example Company: Agilify Industry: Administrative Management and General Management Consulting Services Visit Website Level:Associate (By pressing + ) Phone:xxxxxx Address:440 N 3rd St, Suite 800-A, Baton Rouge, LA Contact:Bill Nelson Email:Ixxxxxxxxxxxxx Also Click on each website to get email address of each listing about 19 businesses per page 72 pages
I need help locating authentic police body-worn-camera footage that I can present in an ongoing legal case centered on human-rights issues. I already have experience searching court filings and open-records portals, so I will be able to check your leads quickly—I simply don’t have the hours right now to dig for new material. Here is what I’m looking for: • Recent footage (recorded within the past 12 months). • Captured in a specific jurisdiction that I will share once we start. • Clearly documents the activities and interactions relevant to the case; I will outline exactly what scenes are required after NDA signing. • Comes with verifiable source links—court docket, FOIA release, department website, or reputable news archive—so chai...
I will hand you a spreadsheet of business email addresses from finance-sector companies. Your job is to trace each address back to the right individual, confirm their full profile, and add any missing phone—preferably a direct mobile—while making sure every data point (name, title, company, email, phone) aligns to the same person. Because the list supports an upcoming sales and marketing campaign, accuracy is non-negotiable. If a detail cannot be verified through credible, up-to-date sources such as company websites, LinkedIn, ZoomInfo, Crunchbase, or reputable press releases…(any other sources welcome), simply flag it as “unconfirmed” instead of guessing. Deliverables • A cleaned, fully verified sheet with columns for Name, Title, Company, Email, Mobi...
I need a small headless script that casts a single vote on , then immediately swaps to the next proxy in a list so that every IP is used only once within the 12-hour cooldown. Workflow • Read a plain text file that contains one HTTP proxy per line (ip:port:user:pass). • For each proxy, spin up a headless browser session, route traffic through that proxy, load the page, press “Vote for this Game”, tick the Cloudflare checkbox and hit “Cast my Vote”. • Detect whether the vote was accepted (page confirmation or changed button state). If it fails for any reason—timeout, Cloudflare block, element not found—drop the session, log the proxy as failed and continue with the next one (no retries on that IP). Key points to keep in mind &bu...
Project Overview: We are looking for a reliable, detail-oriented freelancer to extract and compile structured healthcare-related business data from 2–3 specified directory websites into an organized Excel / Google Sheets workbook. The directory covers healthcare entities categorized by location (City, State) and category, including images/photographs where available. Key Responsibilities: Target Categories: Hospitals & Clinics Doctors / Specialists Medical Stores / Pharmacies Diagnostic Centers & Pathology Labs Required Data Fields (Columns): Location: State, City, Area/Locality, Full Address, Pincode Entity Info: Business/Entity Name, Category, Sub-Category/Specialization (e.g., Cardiologist, Dental Clinic, 24x7 Pharmacy) Contact Details: Phone Number(s), Email A...
Role 1: Senior Full-Stack Cloud & API Engineer (GCP / Python / Node.js) Purpose: Owns the Google Cloud backend architecture, statutory rule engines, Web Scraping ingestion pipelines, and REST API Gateway integrations. Job Summary We are seeking an experienced Senior Cloud & API Engineer to architect and build a scalable labor law data platform on Google Cloud Platform (GCP). You will be responsible for designing versioned SQL relational schemas, writing web scraping pipelines for government gazettes and DOLE orders, and delivering high-throughput calculation APIs for B2B HR and LegalTech clients. Key Responsibilities Database & Schema Design: Architect relational database schemas in Cloud SQL (PostgreSQL) to store versioned statutory rules, effective dates, contribution b...
The task is straightforward: during a single 60-minute window you will log in to my portal and solve 1,000–1,500 ReCAPTCHA v3 challenges. The system records each solve automatically, so your focus stays on speed and accuracy rather than screenshots or manual logs. Work flow • I provide credentials and an exact start time. • You keep the tab active for the full hour, solving as they appear. • When the counter reaches at least 1,000 solves (ideally up to 1,500) the requirement is met. Acceptance criteria 1. Minimum 1,000 successful ReCAPTCHA v3 solves within the hour. 2. A CSV or on-screen report exported from the platform immediately after finishing and sent back through Freelancer chat. What you need • Stable internet and an up-to-date Chrome or Firef...
Need an experienced data scraper to collect general/business email, phone number, and full address from approximately 10,000 domains. You may use Claude, Python, or any reliable scraping/AI tool, but email accuracy and verification are very important. Fixed budget: ₹600 INR — bid only if you can complete the job accurately.
I have a list of websites and need their contact details gathered—names, emails, phone numbers, and any publicly listed address information—then organized in a clear, well-structured spreadsheet. The data will be a mix of numbers and text, so please format each column consistently in either Excel or Google Sheets and apply basic validation to spot obvious errors. Scope of work • Visit each supplied URL and locate all relevant contact fields. • Enter the information accurately, preserving capitalization and punctuation. • Flag any missing or ambiguous details so I can review them quickly. • Deliver the final sheet with simple filters and a brief summary of your process. Accuracy and punctual delivery are essential. If you have experience extracting we...
Option 1: Data Entry & Web Research (Best for Beginners) Professional Data Entry & Web Research Specialist Highly accurate and detail-oriented freelancer specializing in data collection, web research, and database organization. I help clients collect clean, organized data from public websites and deliver it in neatly formatted Excel or Google Spreadsheets. My Services: Online Data Collection & Web Research Data Entry (Excel, Google Sheets) Copy-Paste Tasks & Data Formatting Contact List & Directory Building Guaranteed 100% accuracy, quick turnaround, and reliable communication. Option 2: Lead Generation & B2B Data Collection (Higher Paying) B2B Lead Generation & Web Scraping Expert Reliable freelancer focused on collecting high-quality business data a...
I have two active text streams—pages collected through web scraping and records extracted directly from our database—and neither is ready for analysis. Encoding problems, leftover HTML tags, inconsistent casing, duplicates, and other typical messiness need to be resolved before the data reaches our analytics team. I’m looking for a repeatable, well-documented pipeline that: • pulls the raw text from both sources on demand, • applies thorough cleaning steps (standardise encoding, strip markup, normalise whitespace and punctuation, remove or flag duplicates/corrupted rows), and • exports a single, tidy UTF-8 file (CSV or JSON) with a consistent schema. Python with pandas, BeautifulSoup/Scrapy and a standard SQL connector is my preferred stack, but...
I need a Chrome extension that will automatically scroll through any webpage, wait for lazy-loaded content to appear, and then grab every image that matches user-defined criteria rather than everything on the page. The criteria will be configurable (for example minimum width/height, file-name pattern, or URL substring) so the user can fine-tune what gets saved. Once the scan is complete, the extension should download the selected images in a single click. Key points you’ll be tackling: • Auto-scrolling logic that stops only when the end of the page is reached or no new images are detected. • A filter panel where the user can set those “specific criteria”. • Support for all common web image formats—JPEG, PNG, GIF, WebP, SVG and anything else the ...
I need the plain text that appears on a specific website transferred accurately into Excel. The site spreads the content over multiple pages, so you’ll move through each page, copy the visible text, and paste it into a structured workbook that I can sort, filter, and search later. Please keep the original wording exactly as shown online—no edits, abbreviations, or re-formatting beyond the layout I outline below: • A single workbook in .xlsx format • One worksheet per web page, named to match the page’s title or URL slug • No blank rows or columns unless the website itself contains intentional spacing Double-check that every page has been captured and that no text is missed or duplicated. I’ll review the file on delivery and confirm that the she...
I regularly buy apparel on Flipkart and want to streamline the entire process—from short-listing fresh styles to completing the order. Your brief should lay out, in detail, how you will: • Identify the best clothing options that match my size, style preferences, and current discounts • Present a concise comparison sheet or cart link, highlighting price, delivery time, ratings, and return policy • Guide (or, if authorised, carry out) checkout so the purchase is finalised without hiccups Please send a detailed project proposal outlining your step-by-step workflow, the tools or browser extensions you rely on, and how you will keep me updated at each stage. Past work is welcome but optional; a clear plan is essential.
Instagram Reels Data Research – liquid and Cleaning Product Brands bluechemindia our company is mfg polymer based liquid thickener which adds viscosity to any liquid formulation we need a freelancer to find 15 hashtags of small or big all official brand Instagram accounts and their Reels related to these products: #liquiddetergent #liquid #dishwash #dishwashing #laundryliquid #floorcleaning #glasscleaning #handwash #toiletcleaner #washing #cleaningproducts #cleaning #shampoo #detergent #fabricwash Data Required ONLY FROM INDIA including from any time old or new For each genuine official brand: Brand / Manufacturer Name Working Contact Number – VERY IMPORTANT Email / WhatsApp / Website Product details from Reel/caption (product, pack size, variant, USP, etc.) Reel ...
I need a small yet reliable script that automatically pulls text-based information from a single website and stores it in a clean, structured format I can use for ongoing market research. Frequency will be regular (daily or on-demand), so the solution should handle scheduling and avoid detection blocks or rate limits. Here is what I’m after: • Scrape only the textual content I specify—no images required. • Parse the raw HTML into clearly labeled fields (CSV or JSON is fine). • Build in error handling, simple logging, and the ability to update selectors if the site layout changes. • Deliver ready-to-run code (Python with BeautifulSoup/Scrapy + requests, or a similar stack you’re comfortable with) along with brief setup instructions. Acceptance c...
I regularly hit Google’s reCAPTCHA v2 on a handful of sites and I’d like to hand that hurdle over to someone who can solve them quickly and accurately. My current volume is modest—anywhere from a single challenge up to about 100 in a day—but I need each token back fast enough to keep my automation moving smoothly. Here’s what the job looks like from my side: whenever a reCAPTCHA v2 appears, I’ll pass you the site-key and page URL. You return a valid token that lets the form submit without a hitch. Turn-around time and reliability are the priority; if one fails, I need a prompt resend. Accuracy comes first, speed a close second. Right now every challenge is standard reCAPTCHA v2. If my workflow ever shifts toward Invisible or v3 in the future, I’d...
I need a small yet reliable script that automatically pulls text-based information from a single website and stores it in a clean, structured format I can use for ongoing market research. Frequency will be regular (daily or on-demand), so the solution should handle scheduling and avoid detection blocks or rate limits. Here is what I’m after: • Scrape only the textual content I specify—no images required. • Parse the raw HTML into clearly labeled fields (CSV or JSON is fine). • Build in error handling, simple logging, and the ability to update selectors if the site layout changes. • Deliver ready-to-run code (Python with BeautifulSoup/Scrapy + requests, or a similar stack you’re comfortable with) along with brief setup instructions. Acceptance c...
I want a fast, reliable autobuyer that watches the online marketplace (Swiss / German market) and snaps up Pokémon TCG products the moment they appear—Booster Boxes, ETBs, special sets, anything I pre-define. The bot has to: • Detect restocks in real time, add the item to cart, and complete checkout with my saved details. • Handle all robot-verification or CAPTCHA steps automatically so the flow stays hands-free. • Let me set keywords, price caps, quantities, and shipping address preferences for Switzerland or Germany. • Run head-less on a server or local machine (Python + Selenium, Puppeteer, or a similarly robust stack—open to your recommendation). • Log every action so I can audit what happened if a task fails. Deliverables ...
I’m preparing to launch a space-saving utility for Apple users and the first step is building an engaged user community. To do this, I need a clean, verified list of 10,000 active iCloud email addresses. Once I have the list, I’ll connect with these users through regular email newsletters that share two main types of content: practical tips and tricks for freeing up storage, and timely app updates or feature announcements. Here’s what I need from you: • Locate and compile 10,000 unique @ addresses. • Deliver them in a CSV or Excel file, one email per row, with a quick validity check so bounced messages stay minimal. • Avoid duplicates, obvious spam traps, or addresses harvested through methods that violate Apple or privacy policies. I’ll spot-...
I need a rock-solid scraper that can pull both product text and all related images from a JavaScript-heavy e-commerce site. The pages rely on lazy loading and endless scrolling, so I’ve been leaning on Playwright to render each view while using Scrapy’s crawl engine to fan out across categories and pagination. The goal is straightforward: capture every SKU’s name, price, description, variants, and the full-resolution image set, then export the lot to a clean JSON (or CSV) plus a mirrored folder of images. Here’s how I picture the engagement: you build a Playwright-powered spider that logs in if required, waits for dynamic content, and hands the DOM to Scrapy for high-speed harvesting. The solution should respect delays where possible and retry gracefully on captch...
### Project Overview I am looking for an experienced Web Scraping Developer to collect and organize data on recently funded companies across the **USA, Europe, and Australia**. The objective is to build a structured, accurate, and regularly updatable database of companies that have recently raised funding, including their company details, funding information, website, and key decision-makers where publicly available. ### Scope of Work The freelancer will be responsible for: - Identifying recently funded startups and companies across the target regions. - Extracting data from publicly accessible websites, funding announcements, startup databases, and news sources. - Collecting and cleaning the extracted data. - Removing duplicate company records. - Organizing the information into a str...
I need a clean, automated scraper that can pull reliable product information from the eCommerce site The focus is strictly on each item’s descriptions, technical specifications, and images—no prices, ratings, or reviews are required. Your script should: • Navigate site categories or search results, respecting and rate limits. • Extract the full product title, all descriptive text, every specification field available, and link each product to its respective image without any editing. • Export the data into a well-structured CSV or JSON file with clearly labeled columns/keys. • Be easy for me to rerun by simply updating a list of URLs or category links. I am comfortable with Python, so using libraries such as Requests, BeautifulSoup, Scrapy, or...
Freelancer Required – Bulk Sports Academy Database We are looking for an experienced freelancer or data vendor who can provide a bulk Pan-India database of sports academies. Sports Required: => Badminton => Pickleball => Table Tennis => Padel => Squash Compulsory Fields: => Contact Person Name => Academy Name => City => State => Full Address => Mobile Number => Email Additional Fields (if available): => Facebook => Instagram => LinkedIn => Twitter/X => Website => SEO Title => SEO Keywords => SEO Description Important: => We do not want manual data collection by our internal team. => We are specifically looking for someone who already has access to a bulk database, data source, or scalable data-sourcing method. =&g...
I need a reliable, automated feed that pushes real-time score updates for top-flight football. My immediate priority is the raw scoreline itself—goals as they happen, half-time and full-time results, stoppage-time changes—delivered fast enough for broadcast overlays and social media pushes. The solution can cover the Premier League, La Liga, Serie A or any other major competitions we agree on; I’m flexible there, but the data must be accurate, latency-free, and ready for on-air use. Deliverables • An API, webhook, or similar feed that returns match ID, teams, current score, match clock, and status in real time • Clear documentation with sample calls so my engineering team can integrate quickly • A short demo showing the feed driving a simple score...
Hi, I need a Python-based scraping tool for my pharmaceutical business, GS PHARMA. Project: NHPR Healthcare Facility Data Extraction Website: 1. Functionality 1. Extract facility data by state, district, system of medicine, facility type and any other available filters. 2. The portal shows only the first 50 matching records per search. Please explain and implement a strategy to extract the maximum data, such as smaller filter combinations, pagination, or other permitted methods. Do not just repeat the same search. 3. Export to Excel (.xlsx) with clean, consistently named columns. 4. Remove duplicates using the unique facility ID, or name plus address if no ID exists. 5. Provide a coverage report showing the count extracted against the count the portal shows for each search, and which sear...
My former e-commerce site only survives on the Wayback Machine. I need it revived as a clean, lightweight set of static HTML pages that I can upload anywhere. What matters most is that every word of copy and every image you see in the archive makes it across intact. The exact old layout is less critical; I’m happy with a fresh, responsive structure as long as the pages feel familiar and all content is present. After the pages are rebuilt, wire in a basic PayPal shopping cart—standard “Add to Cart” and “Checkout” buttons for each product are all I need. No discount codes, no multi-currency support, just reliable PayPal integration that works on desktop and mobile. Deliverables • Fully functional static HTML/CSS/JS site with all archived text and...
I need fresh, accurate contact lists of decision makers at marketing agencies and related contractors across the United States. For every city you work on—starting with New York, Los Angeles, Chicago, and Dallas—I’m expecting between 1,400 and 2,000 leads. Ultimately the project will cover 50-plus cities, so capacity to scale is important. What matters most is quality. Every record must: • Belong to a CEO/Founder or a Marketing Director (Sales Managers are useful but not required) • Contain a direct, non–catch-all email that has been fully sanitized and verified to keep the overall bounce rate below 1% • Be unique—no duplicates within or across cities You’re free to employ any combination of Apify, Python scrapers, AI enrichment,...
Following are the requirements of task to be fulfilled. 1- Task is to visit the ''Max Infertility and Trauma Centre'' physically and Take 5 to 6 geotagged photos of with name board captured and from outside/Inside the building. 2- Get the verification form filled, signed and stamped by the HR of Max Infertility and Trauma Centre, and also stamp the certificate. 3- Get the details of verifier, Name, Designation, Department and Contact. 4- In case of refusal to fill form, take the written refusal with stamp or sign as a proof. 5- If Max Infertility and Trauma Centre, does not found on given address than take the 7 to 8 geotagged photos of exact address with right left name boards photos and make a small few seconds video of address. Also get the details of any nearby bus...
I need a clean, well-structured spreadsheet that lists lawyers who handle MACT (Motor Accident Claims Tribunal) matters, along with their direct phone numbers. Only phone numbers are required—no emails, addresses or other details—so the file stays focused and easy to act on. Your sources should include: • Firm websites where the lawyer’s MACT work is mentioned • Reputable legal directories • Any public social-media profile that clearly identifies the lawyer and the MACT niche For every entry, capture the lawyer’s full name, the phone number exactly as displayed, and the URL where you found it. Duplicate numbers or entries that lack explicit MACT relevance will not be accepted. Please deliver the data in CSV or Excel format and keep each fiel...
I’m looking for a reliable associate who can dedicate a steady 12 hours each week to two straightforward tasks: locating fresh prospects that match my criteria and sending a pre-written email to each one. I’ll walk you through every step of the workflow, but you must already be comfortable with basic computer skills, everyday email management, and simple online lead generation. Here’s how the work unfolds: during your scheduled hours you’ll search the web (LinkedIn, company sites, directories, etc.) to collect the contact name, role, and email address, save everything neatly in the Google Sheet I provide, then copy-paste the template message from our Gmail account and hit send. I track progress by the number of qualified leads added and emails dispatched, so cons...
I need a clear, reproducible assessment that proves (or disproves) whether a phone number can be turned into a TikTok username and, in the process, expose personal information such as a user’s name or email. My goal is to understand the extent of this user-data exposure and verify whether the current behaviour complies with TikTok’s own privacy policy. Here’s what matters most to me: • A methodology that shows how the lookup is carried out—API calls, OSINT techniques, fuzzing or any other route you take. • Concrete evidence of what data is revealed at each step, including full request/response captures, screenshots or logs. • A comparison of your findings against the wording of TikTok’s privacy policy to highlight any non-compliance. &b...
I need a fresh, reliable data set that lists hotels worldwide with, at minimum, these columns: hotel name, star rating, number of rooms, full address, email, direct phone, and the current General Manager’s name. Web scraping or data source will be the primary collection method; I expect you to pull from a blend of travel booking websites, individual hotel-chain sites, and any relevant public tourism databases to fill the gaps. The resulting file should be delivered as a clean CSV with no duplicates, clearly labeled fields, and consistent formatting for phone numbers and addresses. If parts of the data—like GM names or direct emails—require creative sourcing, describe your strategy up-front. In your proposal, walk me through: • the scraping stack you plan to u...
I have a batch of text that needs to be captured from various online HTML pages and transferred into my designated spreadsheet template. The task is straightforward: carefully copy the visible text (no code snippets or styling markup) and paste it into the correct columns, preserving paragraph breaks and any headings exactly as they appear. Key points • Source: public-facing HTML pages only—no PDFs, images, or scans. • Data type: text content exclusively; no numerical analysis or calculations required. • Accuracy: spelling, punctuation, and formatting must match the original page word-for-word. • Consistency: use the template I provide so every row is populated in the same order. Deliverable A clean, fully populated spreadsheet ready for immediate use, wit...
I need a mechanism discovered for scraping review data from Google Maps. Currently, we're using the batchexecute endpoint. We're successfully grabbing review data, but we're only getting 5 reviews at a time and are not receiving a pagination cursor which means we're in the "limited view". We need to figure out how to get requests through outside of that limited view, so that we're seeing a full 10 per request along with a pagination cursor to see the next 10. I will not respond to automated bids. I want to work with someone who has experience in scraping this data and specifically paginating through it. This endpoint was introduced a couple of months ago when the old one was removed. In your bid, to prove that you know what endpoint I'm talking abo...
I need an automated crawler that scans Leboncoin’s Electronics category and submit it on my website. this is the task. 1) have an account created on lister.fr. (already the case) 2) login to account (already done) 3) bot starts here: Go to any electronics products (bot should be able to let me choose zip code and category to crowl) 4) use a created favorit link with this text javascript:!function()%7Bfunction%20e(e)%7Breturn(e%7C%7C%22%22).toString().replace(%2F%5Cs%2B%2Fg%2C%22%20%22).trim()%7Dfunction%20t(e)%7Bvar%20t%('meta%5Bproperty%3D%22'%2Be%2B'%22%5D%2Cmeta%5Bname%3D%22'%2Be%2B'%22%5D')%3Breturn%20t%(%22content%22)%3Anull%7Dvar%20r%3D%7Btitle%3Anull%2Cdescription%3Anull%2Cprice%3Anull%2Cimages%3A%5B%5D%2Cpostal_code%3Anull%2Ccity%3Anull%2Csource...
The task is straightforward: I need contacts pulled from a collection of business documents and compiled into a clean spreadsheet. Source files range from PDFs and webpages to the occasional scanned image, and accuracy is crucial—I rely on these lists for outreach campaigns. Here’s what I expect: every valid contact (whether it’s an email, phone number, or full mailing address) neatly organised in separate columns, with no duplicates and no formatting quirks that break a mail-merge. You can deliver the final set as an Excel workbook, CSV, or a live Google Sheet—whichever aligns best with your workflow. Feel free to use any mix of Python, OCR, web-scraping utilities, or manual checks, so long as the extraction is complete and the final file is spot-on. When you...
Je recherche une personne rigoureuse, fiable et motivée pour m’aider à créer des listes de propriétaires immobiliers à partir de Facebook Marketplace et autres sites de petites annonces. Mission: Identifier des annonces immobilières pertinentes : maisons, condos, plex et immeubles à revenus. Communiquer avec les annonceurs via Facebook Marketplace et autre sites Obtenir et inscrire dans Excel/Google Sheets : Nom du propriétaire Numéro de téléphone Adresse complète de la propriété Nombre d’unités, si applicable Vérifier que les informations sont complètes et fiables. Rémunération ----------------- 0,50 $ CAD par contact complet ...
I’m expanding our candidate database and need a detail-oriented researcher to pull two focused data sets from LinkedIn profiles: • Skills and their endorsement counts specific to Software Development • Brief descriptions of any listed project experience No other profile elements are required—names, contact details, employment chronology, education, and certifications can be left untouched. I will supply search parameters and a target number of profiles; you will return a clean spreadsheet (CSV or Excel) with one row per profile and clearly labeled columns for Skill, Endorsement Count, and Project Experience. Please use any reliable method you prefer—LinkedIn Recruiter, Sales Navigator, PhantomBuster, Octoparse, Python scripts, etc.—as long as the fina...
I am assembling a fresh, well-qualified list of construction and renovation companies operating in Toronto and the GTA. Your task is to scour reliable public sources—company websites, LinkedIn, trade directories, chamber listings, etc.—and extract up-to-date decision-maker details. For each company you locate, add a row to a shared spreadsheet with the following fields: • Company name • Contact’s name • Direct email address, or a few if applicable • Direct phone number You may work in Excel or Google Sheets, but the file must remain tidy, consistently formatted, and free of duplicates. I will review the first 20 entries to ensure we are aligned, then you can proceed to complete the agreed total. Data accuracy needs to exceed 95 %, and bounced emai...
We are looking for an experienced **browser automation/RPA developer** who can take ownership of a one-time migration involving approximately 4,800+ saved real estate searches from Google Sheets into the myRealPage IDX platform. The ideal candidate should have strong hands-on experience with **Playwright, Selenium, Puppeteer, Python and/or JavaScript**, as well as experience reading and updating data in **Google Sheets**. You should be comfortable automating authenticated web applications, navigating dynamic forms, selecting values from search interfaces, handling conditional workflows, and processing thousands of records reliably. This project requires more than simply creating a script that clicks through a website. We need someone who understands how to build reliable automation that...
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