Short Gig. We are seeking a skilled developer to make specific enhancements to our existing Python web scraper. The main tasks include adding the business location feature and ensuring the updated data is posted correctly on our website. The ideal candidate should have experience with Python programming, web scraping, and web development. Could see this being done in 5-10 hours

I need a clean, completely deduplicated spreadsheet of all automotive-related businesses physically located within Sacramento County, CA. I do not need contact names, phone numbers, or emails. I only need the physical building addresses so I can cross-reference them with a title company and CoStar. Required Industry Targets (NAICS & Keyword Groups): Please ensure your search covers retail, specialty, and commercial B2B operations using the following classifications: Service & Repair: General Auto Repair, Transmissions, Body/Paint, Glass, Oil Change, Alignments, and Smog/Emissions Stations (NAICS 8111 codes). Wholesale & Distribution: Parts wholesalers, tire distributors, and auto wreckers/salvage yards (NAICS 4231 codes). Retail & Dealerships: New/used car dealers, retail auto parts stores, and retail tire dealers (NAICS 441 codes). Note: For map registries like Google Maps that do not use NAICS, please use the corresponding industry terms to ensure no specialty shops or wholesale warehouses are missed. Required Deliverables: Business Name, Street Address, City, Zip Code, and Primary Category. Data Cleanliness Requirement: The final list must be completely deduplicated. I want one unique row per physical building address, regardless of how many businesses operate inside it. In the case of a multi-tenant commercial building with multiple automotive tenants, please remove suite/unit numbers and deduplicate by the main street address so that each physical building is listed only once. This is for a mailing campaign, and I cannot have multiple postcards going to the same building owner. My budget is set to $150 for a complete, accurately cleaned deliverable. I am looking for quality work, not the cheapest price.

We are hiring a senior scraping engineer to join an experienced team building a real estate data platform. This is not a new build starting from scratch. We are approximately 90% of the way to launch, with the core platform already in place and the team pushing through the final stage of development. We are a small team, which means every hire matters. We are looking for an A player who can take ownership of data acquisition, solve difficult problems, and help us get the product across the finish line. The Role You will own data acquisition for our platform. Your primary focus will be building, maintaining, and improving our scraping systems. You will not own frontend development, billing systems, or the broader application backend. However, you must be comfortable with general backend development and understand how your scraping systems connect to the rest of a production application. You may need to assist with integration work, troubleshoot issues across system boundaries, and make backend changes related to the reliable delivery of scraped data. Your job is to: -Scrape the required source data. -Build and maintain reliable production scrapers. -Validate the completeness and accuracy of the results. -Deliver data using the agreed schema and system architecture. -Work with the backend team to integrate the data successfully. -Continue supporting and improving the scraping system after integration. We are looking for someone who genuinely enjoys scraping and is willing to work through difficult websites, changing page structures, browser issues, blocked requests, and incomplete data. This is not a role for someone who only builds simple, one-time scripts. We need someone who can own a production scraping system, diagnose failures independently, improve reliability, and keep the data flowing when source websites change. You will work closely with a Lead Backend Engineer who owns the broader backend platform. Scraping and data acquisition will remain your primary responsibility, but you will be expected to collaborate carefully on integrations and take responsibility for the ongoing performance of what you build. Responsibilities -Build and maintain Python scrapers. -Work with dynamic and JavaScript-heavy websites. -Build and maintain browser automation. -Diagnose blocked, failed, or incomplete runs. -Handle sessions, cookies, proxies, rate limits, and other access challenges. -Update scrapers when source websites change. -Validate data completeness and accuracy. -Prevent duplicate and missing records. -Add logging, retries, monitoring, and alerts. -Deliver data using an agreed schema and architecture. -Collaborate with the backend team on integration and troubleshooting. -Support scraping-related backend components when needed. -Document your work clearly. -Recommend better data-acquisition methods when appropriate. -Take long-term ownership of the reliability of the scraping systems you create. Required Experience -Strong Python experience -General backend development experience -Playwright, Selenium, Scrapy, or similar tools -Production web scraping -Browser automation -HTML parsing and structured data extraction -Proxy and session management -Retry and recovery systems -Monitoring unattended scrapers -Data validation -Docker -GitHub Experience with Cloudflare, CAPTCHA workflows, public records, APIs, Google Cloud Run, MongoDB, or BigQuery is helpful. What Success Looks Like -Scrapers run reliably without constant supervision. -Failures are detected quickly. -Missing and duplicate records are reduced. -Website changes are handled quickly. -Data is delivered accurately and on schedule. -Scraping systems integrate cleanly with the broader platform. -The backend team does not need to take ownership of maintaining the scrapers. -The systems you build remain understandable, supportable, and reliable over time. -We Are Looking for Someone Who enjoys solving difficult scraping problems. -Can work independently and diagnose issues without constant guidance. -Has experience maintaining production scraping systems. -Is comfortable working within a broader backend architecture. -Understands how to keep data pipelines reliable as websites change. -Takes care with architecture, documentation, testing, and maintainability. -Can communicate technical issues clearly and recommend improvements. -Takes ownership and pushes projects across the finish line.

I’m looking for an experienced Python developer who can build an automated workflow that pulls government solicitations and filters them based on specific criteria, especially solicitations that have online pricing available. This role requires someone who understands web scraping, APIs, data parsing, and automation, ideally with someone who understands DIBBS, DLA, or other federal procurement portals. Scope of Work 1. Build Automated Solicitation Retrieval Create a Python script that automatically pulls new solicitations from: DIBBS / DLA Internet Bid Board System Allow filtering by: FSC/PSC codes Delivery Date posted 2. Identify Solicitations With Online Pricing Build logic to detect solicitations that: Include online pricing Include competitive historical pricing Include NSN‑level price history Include automated quote functionality Extract and store: Item description Part Number NSN Quantity Online price Cage Code Vendor pricing links 3. Data Output & Organization Deliver results in: CSV Excel Google Sheets Include fields such as: Solicitation number Agency Deadline NSN Online price Link to solicitation Link to pricing 4. Automation & Scheduling Set up automatic daily or hourly pulls 5. Documentation Provide clear instructions on: How to run the script How to update filters How to add new portals or pricing sources

We are seeking a skilled data scraper to compile a comprehensive list of all churches located in the St. Louis, Mo and the surrounding areas. The ideal candidate should have experience with web scraping tools and techniques, ensuring accurate and up-to-date information. the final deliverable should include church names addresses, phone number and any additional relevant information. If your detail-oriented and can deliver high-quality results quickly ,we want to hear from you! This is the first of many similar data scraping projects so if it is good, there will be repeat work.

I'm looking for an experienced AI automation engineer to build an MVP for an internal AI-powered M&A Deal Intelligence platform. Project Goal I want to build a system that helps my M&A advisory firm identify acquisition opportunities, research businesses and owners, and prepare me for outreach—all while integrating with our existing Zoho CRM. MVP Requirements - Find businesses from selected public sources using lawful methods. - Gather company information (website, industry, location, products/services, leadership, estimated size, etc.). - Research owners and decision-makers using publicly available sources (company websites, LinkedIn, news, press releases, interviews, social media, public business records where appropriate, etc.). - Generate an AI briefing before I contact a prospect that includes: - Company summary - Owner background - Personalized conversation starters - Suggested questions - Potential acquisition opportunities - Risks or notable findings - Automatically create or update records in Zoho CRM with the research and AI summaries. - Be designed so additional data sources, automations, and AI capabilities can be added over time. Preferred Skills - AI agents - Python - OpenAI API (or similar LLMs) - Web scraping - Playwright - Apify - n8n or similar automation platforms - API integrations - Zoho CRM integrations - Experience building AI research or deal sourcing tools is a major plus. When Applying Please include: - Examples of similar AI automation or research systems you've built. - The technology stack you'd recommend. - How you'd approach this project. I'm looking for a long-term technical partner to continue expanding this into a comprehensive AI platform for our M&A advisory business if the initial project is successful.

Hi - I run a small events-based company and I would like to have my events placed in a queue and if possible have an easy way to get them loaded into my squarespace account www.adventurushq.com

Job Title: Data Researcher Needed: Systematic Lead Generation for Group Health Insurance Brokers (Zip-by-Zip Search) Job Description: Overview: We are seeking a meticulous, systematic Data Research Specialist to help us build a comprehensive, national database of Group Health Insurance Brokerages systematically state by state. The goal of this project is to prospect target areas systematically—zip code by zip code—to ensure 100% market coverage without missing smaller local firms. This is a highly structured, volume-based prospecting task. Bases on a 20 hour work week we are looking for 500 or more leads a week as a goal. If you have experience with deep-web research, B2B lead generation, and working with strict data formatting in Google Sheets, we want to hear from you. Key Responsibilities: • Conduct systematic, zip code-by-zip code research using search engines, local directories, map data, and industry licensing databases to identify group health insurance brokerages. • Identify and target the Sales Leadership contact at each brokerage (e.g., VP of Sales, Sales Director, Agency Principal). • Locate accurate, verified direct contact details for those individuals. • Input data perfectly into a structured excel Sheet with zero formatting errors. *** A link to a shared excel document will be provided. This is where all data will be populated. Required Data Points (Template Provided Below): For every single brokerage identified, you must collect: 1. Agency/Brokerage Name 2. First Name of Sales Leadership Contact 3. Last Name of Sales Leadership Contact 4. Verified Business Email Address 5. Office Phone Number 6. Agency Website URL 7. Zip Code 8. City 9. State Project Requirements & Skills: • Absolute Accuracy: High-quality, verified data only. Generic info emails (e.g., info@, sales@) should be a last resort; we heavily prioritize direct, personal executive email addresses. • Systematic Approach: Ability to strictly follow a provided list of zip codes and check off areas as they are cleared. • Tool Proficiency: Experience with lead generation and verification tools (e.g., LinkedIn Sales Navigator, Hunter.io, Apollo, NeverBounce, or similar) is a massive plus. • Communication: Responsive, capable of providing daily or milestone updates on Google Sheets.

I’m looking for a developer to build a tool that tracks recruiting prospects, pulling daily updates from different platforms/websites, & filters results based on custom metrics.

Look for a specific set of leads following the provided training.