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Weekend Python Web Scraping Jobs in New York (NOW HIRING)

Cloaked

Senior Software Engineer, AI

New York, NY · On-site

$180K - $250K/yr

Proficiency in Python and/or Go, with a track record of building scalable backend systems ... Experience with browser automation, headless automation, or web scraping at scale * Background in ...

MLabs

Research Crawling Engineer

New York, NY · Remote

$100K/yr

This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on ... Go, Rust, Python, Java, or C++ . * Proven experience in building web crawlers or large-scale data ...

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K/yr

This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on ... Go, Rust, Python, Java, or C++ . * Proven experience in building web crawlers or large-scale data ...

AWSPRODVK1

Java Developer

Jericho, NY · On-site

$2.1K - $3.2K/yr

Several years of professional experience as a backend developer, preferably working on web ... Weekend availability

Univision

Software Engineer

Teaneck, NJ · On-site

$108K/yr

Python developer familiar with open-source technologies, responsible for building software ... Familiarity with cloud technologies (Google preferred), containers, front-end web development, CI ...

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Weekend Python Web Scraping information

What are some common challenges faced in a weekend Python web scraping role, and how can they be addressed?

One frequent challenge in weekend Python web scraping roles is dealing with websites that implement anti-scraping measures, such as CAPTCHAs or frequent layout changes. Effective solutions include using libraries like Selenium or Playwright to mimic human browsing, rotating user agents and IP addresses, and staying updated with website structure changes. Additionally, time management is key, as weekend roles often require efficiently balancing multiple scraping tasks within limited hours. Collaborating with other developers or data engineers, even asynchronously, can help share solutions and maintain scraping scripts effectively.

What are the key skills and qualifications needed to thrive as a Weekend Python Web Scraping Specialist, and why are they important?

To thrive as a Weekend Python Web Scraping Specialist, you need strong proficiency in Python programming, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems such as Git, browser automation tools like Selenium, and sometimes cloud platforms is also typically expected. Attention to detail, problem-solving skills, and effective communication are essential soft skills to manage project requirements and address data extraction challenges. These competencies ensure accurate, efficient data gathering and reliable delivery within tight weekend timelines.

What are Weekend Python Web Scraping jobs?

Weekend Python Web Scraping jobs involve using the Python programming language to collect and extract data from websites, typically during weekend hours or as a part-time remote role. These jobs often require knowledge of web scraping libraries like BeautifulSoup, Scrapy, or Selenium, as well as an understanding of HTML and web protocols. The work can include tasks such as gathering data for market research, competitive analysis, or data aggregation projects. Since the work is scheduled for weekends, it offers flexibility for those who have commitments during the week. Attention to ethical web scraping practices and compliance with website terms of service is usually important.

What is the difference between Weekend Python Web Scraping vs Weekend Data Analyst?

AspectWeekend Python Web ScrapingWeekend Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, project-based, technicalRemote or on-site, analytical, business-focused
Industry UsageTech, e-commerce, researchFinance, marketing, consulting

Weekend Python Web Scraping involves writing scripts to extract data from websites, focusing on technical skills like Python programming. Weekend Data Analysts interpret and visualize data to support business decisions, requiring analytical and communication skills. While both roles may work remotely and require some technical knowledge, Python Web Scraping is more technical and coding-intensive, whereas Data Analysis emphasizes data interpretation and reporting.

What are the most commonly searched types of Python Web Scraping jobs in New York? The most popular types of Python Web Scraping jobs in New York are:
What are popular job titles related to Weekend Python Web Scraping jobs in New York? For Weekend Python Web Scraping jobs in New York, the most frequently searched job titles are:
What job categories do people searching Weekend Python Web Scraping jobs in New York look for? The top searched job categories for Weekend Python Web Scraping jobs in New York are:
What cities in New York are hiring for Weekend Python Web Scraping jobs? Cities in New York with the most Weekend Python Web Scraping job openings:
Weekend Python Web Scraping jobs near you
Real Estate Data & Automation Analyst

Real Estate Data & Automation Analyst

Stellar Management

New York, NY • On-site

Full-time

Re-posted 28 days ago

Job description

The Real Estate Data & Automation Analyst will support the firm's Acquisitions and Asset Management groups by building and maintaining the data infrastructure, scrapers, and internal tools used to evaluate investments, manage existing assets, and respond to regulatory matters. The Analyst will sit at the intersection of the firm's deal team and its technology function, translating open-ended business questions into repeatable software-driven workflows.
Under general direction from senior leadership in Acquisitions & Asset Management, the Analyst will be expected to write production-quality code, deliver reusable internal tools, and contribute to the firm's broader effort to modernize its technology stack and integrate AI into day-to-day operations. The role provides regular exposure to Principals and senior management, and offers a holistic view of how the firm sources, underwrites, owns, and operates assets.
Build and maintain scrapers, pipelines, and internal datasets sourced from the NYC open-data ecosystem and adjacent providers, including DOB / DOB NOW, ACRIS, HPD, DOF, PLUTO, ZoLa, NYC Open Data, StreetEasy, and OCA court records.
Aggregate sales and listing comps, permits, violations, complaints, dockets, registrations, and ownership records on demand and in repeatable batches to support underwriting and asset management.
Develop screening tools that identify acquisition, conversion, and off-site opportunities by filtering on community district, ZFA, light and air, vacancy, and zoning overlays.
Translate one-off analyst requests into durable, documented tools that the broader team can reuse.
Support active regulatory and asset-management matters by tagging, aggregating, and reconciling permits, contractor invoices, IAI records, and renovation documentation across the portfolio.
Maintain organized, audit-ready libraries of permits, plans, and supporting documentation by asset and by unit.
Identify candidate workflows for AI / LLM integration - including document classification, lease abstraction, permit interpretation, and natural-language querying of internal data - and prototype and evaluate solutions.
Migrate recurring analyses away from ad-hoc Excel exports and toward versioned scripts, internal datasets, and dashboards that refresh on a schedule.
Document data sources, code, and tooling so that work persists beyond any single project or staffing change.
Coordinate with outside counsel, consultants, property management, and acquisitions team members on data and documentation requests as needed.
Other related data, automation, and analytical tasks as assigned.
Working proficiency in Python, including pandas and at least one HTTP / web-scraping library (requests, httpx, BeautifulSoup, Playwright, or similar).
Comfort with SQL and basic relational data modeling.
Familiarity with Git and standard developer practices, including version control and code review.
Strong written and verbal communication skills, with the ability to summarize technical findings for non-technical audiences across the firm.
A self-motivated, organized approach to work, with the ability to scope and execute on open-ended business questions.
Strong attention to detail and a commitment to high-quality, reproducible output.
Proficiency in MS Excel, PowerPoint, and Word.
Demonstrated interest in real estate, urban planning, housing policy, or NYC zoning and rent regulation preferred.
Exposure to GIS / geospatial tools (QGIS, PostGIS, GeoPandas) and NYC datasets such as PLUTO / MapPLUTO helpful, but not required.
Experience with LLM-based workflows, including retrieval-augmented generation, embeddings, or structured extraction, helpful, but not required.
Familiarity with Yardi or other real estate operating systems helpful, but not required.
Bachelor's degree in computer science, software engineering, data science, or a related field required.
0-2 years of relevant experience; recent graduates encouraged to apply.
Prior internship, coursework, or independent project work involving data scraping, automation, or applied machine learning preferred.
On-site presence required 5 days per week at the corporate office (44 West 28th Street, New York, NY).
Must be able to sit, stand, and walk for extended periods.
Capable of in-person, phone, and video communication with internal teams, outside counsel, vendors, and city agencies.

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