Selenium Jobs

I’m ready to replace a handful of repetitive, behind-the-scenes chores on my site with a single, reliable automation. The goal is simple: once your solution is in place, day-to-day workflows that currently need human input should run entirely on their own, with clear logs so I can verify everything worked. What you’ll actually build will depend on the underlying stack (the site could be WordPress, Shopify, or fully custom), so I need someone comfortable analysing the current codebase, identifying integration points, and choosing the best toolset—Python with Selenium or Playwright, Node with Puppeteer, Zapier or Make, custom cron jobs, webhooks, you name it—as long as the final result is stable and easy to maintain. Key expectations • Analyse my existing wor...

I have a Hungarian database that's open to the public without any login that I'd like scraped. Unfortunately, this database is extremely slow, tedious, and has "I'm not a robot" checks all the time. This makes it extremely difficult to even scrape it with Claude or any LLM. I'm looking for a creative individual that can pull this data for me and turn it into an Excel spreadsheet. There are going to be hundreds of thousands of data points in here. Please check out the website, and I have a comprehensive list of fields, basically every field that you can have to be scraped. This requires clicking through to the items and, in the majority of the cases, downloading a PDF and parsing that PDF as well. I am open to very creative ideas. Website: I'm also add...

I want a self-contained software agent that, when I feed it the name or domain of a medium-sized enterprise, automatically pieces together the company’s full organisational chart and returns a verified corporate email and number for every person it finds. The agent may explore open data reservoirs—our internal databases, public directories and employee social profiles—but it should not rely on any authenticated endpoints, API keys or user log-ins. You are free to choose the language and stack, though Python plus libraries such as Scrapy, Beautiful Soup, Selenium or similar web-automation tools would make sense. The final output needs to be delivered in both machine-readable (JSON or CSV) and human-friendly form: a hierarchical tree or graph that clearly shows reporting ...

I’m getting ready to flip the switch on my new website and I want absolute confidence that visitors will enjoy a smooth, error-free experience from day one. I need a meticulous tester to comb through every critical area before we go live. old site new site Here’s what I expect you to cover: ***** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** please indicate how much time you need to complete the work ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** ********** *******...

I need a small desktop-side automation that logs in to a specific website (standard username / password), navigates through the usual button sequence, downloads the available CSV file, fills the supplier name in its designated field, then uploads the related invoice—completing the entire loop without manual intervention. The flow must run reliably on a Windows machine. You’ll receive: • the site URL and working credentials • a sample invoice file and the exact supplier name format expected What I expect back: • a runnable script or packaged RPA bot (Python + Selenium, Playwright, AutoHotkey, Power Automate Desktop—your choice, as long as it is lightweight and open for me to edit) • clear setup notes and a quick walkthrough video or screenshot...

I need a robust, fully automated process that pulls three specific data sets from Amazon every single day: • Product details (titles, bullet points, specs, ASIN, images) • Customer reviews with ratings and timestamps • Current pricing, including promotions and historical price if visible The solution should run on a schedule without manual intervention, gracefully handle captchas or page-layout changes, and drop the results into a clean, structured file or database table I can query—CSV or JSON is fine. Accuracy and consistency matter more than sheer speed; if a product page fails on one run, the script should log the error and retry. I’m comfortable working with Python, so Scrapy, Requests/BeautifulSoup, or Selenium are all acceptable. If you prefer ano...

I need a reliable way to capture every car listing that appears on Facebook Marketplace across the entire United States and extract the seller’s direct phone number from each ad. The listings change quickly, so I want a fresh pull every 24 hours and the results delivered as a clean CSV file I can drop straight into my CRM. Here’s what the file should include each day: • Listing URL • Ad title exactly as posted • Asking price • City / state shown in the ad • Date and time the ad was scraped • Seller’s name (if visible) • Seller’s phone number in a normalized format The CSV must overwrite the previous day’s file or arrive as a clearly time-stamped new file; either way, I should always know I’m working with...

I need a turnkey script that logs into Facebook Marketplace, navigates through every active “Cars for Sale” listing, and extracts only the seller’s contact information—name, profile URL, any displayed phone number, and the direct Messenger link. The script should save these fields to a clean, well-formatted CSV and refresh the file automatically every day without manual intervention. Please build it in Python; Selenium, Playwright, or a similarly reliable headless solution is fine as long as it can handle Facebook’s infinite scrolling, dynamic content, and occasional anti-bot measures. Cookie-based login or a secure credential file is acceptable, but the process must stay within Facebook’s terms of service. I’ll deploy this on an Ubuntu VPS, so in...

I need a robust script or small application that can automatically collect every publicly available resume it finds for Las Vegas-based candidates on Indeed, LinkedIn, Glassdoor, and any other open sites or resume repositories you know of. For each profile the scrape should capture the person’s name, phone number, email address, and any stated work-experience details. Scope • Boards: Indeed, LinkedIn, Glassdoor are mandatory; feel free to add Craigs list, CareerBuilder, or niche sites as long as they host downloadable resumes or profile data. • Industries: no narrow filter—I’m interested in technology, healthcare, finance, hospitality, construction, and any “various jobs” you come across. • Geography: restrict to the greater Las Vegas are...

I’m looking for a fast-turnaround solution that takes the repetitive data-extraction work off my hands entirely. The goal is simple: I give you a set of target pages, and your script logs in if needed, navigates through the required paths, grabs the specific fields I specify, and deposits the results in a clean CSV or JSON file ready for downstream use. I don’t want a one-off scrape; I need true process automation. The code should be reusable, easy for me to schedule, and resilient to minor layout changes. Python with Selenium, Playwright or a headless browser is fine—as long as it’s well commented and comes with a quick README so I can run it on my own machine or a small VPS. Because I need this ASAP, clarity is critical. Once you’re onboard, I’ll...

I need a fully-functioning lead-generation and sales operating system tailored to my granite and stone business and restricted to prospects located in Pune city. Core requirements The engine must scrape business directories—e-GEM, CPPP and Construction DATA—then run the results through an AI contact-finder so every record contains up-to-date phone numbers, emails, firm name, address and any other key business details. Accuracy and freshness are critical because the database will feed my outbound sales campaigns. Preferred flow 1. Automated scraping from the three directories on a schedule I can adjust. 2. AI-based enrichment and de-duplication immediately after each crawl. 3. Export to a clean CSV or direct sync with the CRM I specify. 4. Simple dashboard where I ca...

I need a small Python script that uses Selenium to log in to TruthSocial from a Windows machine and automatically place both likes and retweets (re-Truths) on posts I specify. The flow is simple: the script receives login credentials, navigates to each post URL or a chosen hashtag/feed, then performs the two actions with human-like delays so the activity looks natural. The code must be clean, well-commented, and run with the latest stable versions of Python and ChromeDriver on Windows 10/11. I should be able to edit a list or CSV of target URLs, change delay ranges, and switch accounts by updating a small config file—no hard-coding. Deliverables: • Fully working .py file(s) using Selenium • A brief README covering setup, required libraries, and how to modify targets, de...

I’m looking for a ready-to-run or custom-built tool that lets me scrape Instagram user profiles on my own machine and pull out one thing only: contact details. Specifically, I need a clean export of any publicly listed or hidden emails and phone numbers from both public and private accounts I feed into the tool. Here’s the workflow I have in mind: • I drop in a list of usernames (CSV or TXT is fine). • The software signs in with my credentials (handling login challenges or two-factor gracefully). • It navigates each profile, extracts any email address or phone number it can locate—whether surfaced on the profile page, within the bio, or via the “email/phone” buttons Instagram shows to logged-in users. • Results come back in a CSV w...

We're looking for an experienced developer to build a scalable browser automation system using real browser sessions. PROJECT OVERVIEW The goal is a reliable, configurable automation platform that: - Uses browser automation infrastructure such as Browserbase (or similar) - Integrates with cloud phone/emulator providers where appropriate - Manages rotating residential/mobile proxies - Simulates realistic user browsing behavior - Scales across distributed workloads This is a full-time contract with flexible hours and we have long term opportunity available for the right fit. We're looking for someone who has built similar systems before and can work independently. REQUIRED SKILLS - Strong experience with browser automation (Playwright, Puppeteer, Selenium, etc.) - Experience ...

I have a pipeline of QA-automation candidates coming in and I need an experienced Selenium professional who is equally comfortable in Java and Python to screen them for me. The goal is to make sure every applicant can design, build and troubleshoot functional, regression and full end-to-end test suites that run reliably across Chrome, Firefox and Edge. What I’d like you to do • Design a concise interview plan that mixes theory and hands-on coding for Selenium WebDriver, TestNG/JUnit on the Java side and pytest/Unittest for Python. • Run the live interviews (video call is fine) and walk each candidate through code review and small live-coding tasks. • After every session, send me a short report highlighting strengths, gaps and a clear hire/no-hire recommendation....

I need a desktop application that helps me research products advertised on Facebook. The tool should: Open Facebook in a browser that I log into. Browse the Facebook feed. Identify posts that meet criteria I specify (for example, sponsored posts or posts with at least 50 comments). Save information from matching posts, such as: Page name Post URL (if available) Comment count Reactions (if available) Images or video links where feasible Export the collected data to Excel or CSV. Include filters such as: Minimum comment count Date found Keywords Run on Windows. The tool should be easy to use and should respect Facebook's terms of service. Preferred technologies: Playwright or Selenium Python or Node.js Simple desktop interface (Electron, Streamlit, or similar)

Preferred Testing Tools & Experience Applicants should indicate which testing platforms, software, and services they currently have experience using and whether they have active access to them. Please include experience with any of the following (if applicable): Browser & Device Testing BrowserStack Sauce Labs LambdaTest CrossBrowserTesting (if previously used) Automated Testing Playwright Cypress Selenium QA Wolf Katalon Studio Usability Testing UserTesting Userfeel Maze Hotjar API Testing Postman Insomnia Performance Testing Lighthouse JMeter k6 Security Testing OWASP ZAP Burp Suite Payment Testing Stripe Sandbox PayPal Sandbox Other payment gateway sandbox environments Bug Tracking Jira GitHub Issues GitLab Azure DevOps Trello ClickUp For each tool, please indicate: Years o...

Project Title: Browser Form Automation Tool Project Description: I need a browser automation tool for a web-based application. The tool should automate repetitive data entry tasks on standard web forms. Requirements: - Use Playwright (preferred) or Selenium. - Read data from an Excel file (XLSX). - Fill text input fields automatically. - Handle dropdown selections, checkboxes, and radio buttons where applicable. - Wait for page elements to load before interacting. - Provide clear error handling and logging. - Allow easy updates if form fields change in the future. - Support Windows 10/11. - The code should be clean, well-documented, and easy to maintain. Deliverables: - Complete source code. - Setup and installation guide. - Instructions for updating Excel columns and field mappings....

I need a clean, reliable Python script that goes to Indeed, pulls fresh job listings, and drops the data straight into a CSV file I can open in Excel or Google Sheets. The scraper should accept a search keyword (e.g., “data analyst”) and an optional location, work through pagination automatically, and respect polite crawling practices with reasonable delays or the built-in API where available. For every listing it finds, the script must capture: • Job title and company name • Job description and requirements • Location and salary range Please structure the CSV like format so each of those data points sits in its own clearly labeled column. I expect well-commented code that runs from the command line (Python 3.12+), uses common libraries such as requests...