Senior Python Data Scraping Engineer (Freelance)
headings for each section, and - for lists,
for prose.
We must not include markdown fences.
We need to preserve all substantive info; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them.
We must not repeat job title. So no heading for that.
We must not include Job ID etc.
We must remove boilerplate: cookie/navigation/legal/EEO etc. Not present.
We need to ensure we don't include duplicated lines.
Let's extract content precisely.
First paragraph: "Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing."
Second paragraph: "What We Do The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts."
Third: "About The Role This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches."
Now responsibilities list: The bullet points appear as sentences separated by maybe line breaks. Let's extract:
- Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
- Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement (typo: requirement)
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
- Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
- Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
Now Educational Qualifications:
- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
Academic and/or Professional Experience:
- Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.
- We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.
- A methodical, detail-oriented approach and the ability to work independently are essential.
Technical Skills (Essential):
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
Additional Requirements:
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
- Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- A link to GitHub is a plus
- English proficiency: Upper-intermediate (B2) or above (required)
Project time expectations:
- For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation:
- On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.
- Compensation varies across projects depending on scope, complexity, and required expertise.
- Please note that other projects on the platform may offer different earning levels based on their requirements.
Now we need to map to sections.
About the role: combine the intro paragraphs? Probably include the "What We Do" and "About The Role" as prose.
Responsibilities: list.
Requirements: maybe combine Educational Qualifications and Academic/Professional Experience? Or maybe Requirements = Educational Qualifications + Academic/Professional Experience? But we also have Additional Requirements which could be Requirements. However spec says separate sections: Requirements, Qualifications, Skills. We need to decide what goes where.
Typically: Requirements could be experience, education, etc. Qualifications could be degree etc. But we have both.
We could treat:
- Requirements: Educational Qualifications (5+ years experience, degree plus) and Academic/Professional Experience (strong technical foundation etc.)
- Qualifications: maybe Additional Requirements? But Additional Requirements are more like requirements. Hmm.
Alternatively, we could treat:
- Requirements: Educational Qualifications + Academic/Professional Experience
- Qualifications: Additional Requirements (like anti-bot, cloud, LLM, GitHub, English)
- Skills: Technical Skills (Essential)
But the spec says "Skills" section for technical skills. So we will put Technical Skills there.
Now we need to ensure we don't create sections with filler. All have content.
Now Benefits: none, so omit.
Pay: include.
Schedule: include.
Now we need to output HTML fragment.
Structure:
About the role
... prose ...
Responsibilities
- ...
...
Requirements
... maybe combine into paragraphs? Could also use
for list items. The spec says use - for any list of duties/requirements/benefits, and
for prose. So for Requirements we have list items (experience, degree, etc.) and also Academic/Professional Experience points. Could combine into a single list.
Similarly for Qualifications: list items.
Skills: list items.
Pay: maybe prose.
Schedule: prose.
Now we need to preserve all substantive info. So we need to include each bullet point exactly as in posting (maybe minor punctuation). Ensure we don't lose any.
Let's craft.
About the role prose: combine the three paragraphs: first paragraph, second paragraph (What We Do), third paragraph (About The Role). Ensure we keep all info.
We'll produce:
Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
Now Responsibilities list: each bullet.
Now Requirements: combine Educational Qualifications and Academic/Professional Experience.
List items:
- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.
- We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.
- A methodical, detail-oriented approach and the ability to work independently are essential.
Now Qualifications: Additional Requirements list.
List items:
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
- Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- A link to GitHub is a plus
- English proficiency: Upper-intermediate (B2) or above (required)
Now Skills: Technical Skills (Essential) list.
List items:
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
-
for prose. We must not include markdown fences. We need to preserve all substantive info; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them. We must not repeat job title. So no heading for that. We must not include Job ID etc. We must remove boilerplate: cookie/navigation/legal/EEO etc. Not present. We need to ensure we don't include duplicated lines. Let's extract content precisely. First paragraph: "Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing." Second paragraph: "What We Do The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts." Third: "About The Role This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches." Now responsibilities list: The bullet points appear as sentences separated by maybe line breaks. Let's extract: - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets - Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement (typo: requirement) - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes Now Educational Qualifications: - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required) - Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Academic and/or Professional Experience: - Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. - We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. - A methodical, detail-oriented approach and the ability to work independently are essential. Technical Skills (Essential): - Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies - Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) - Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional Requirements: - Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale - Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows - Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks - Strong attention to detail and commitment to data accuracy - Self-directed work ethic with ability to troubleshoot independently - A link to GitHub is a plus - English proficiency: Upper-intermediate (B2) or above (required) Project time expectations: - For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation: - On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. - Please note that other projects on the platform may offer different earning levels based on their requirements. Now we need to map to sections. About the role: combine the intro paragraphs? Probably include the "What We Do" and "About The Role" as prose. Responsibilities: list. Requirements: maybe combine Educational Qualifications and Academic/Professional Experience? Or maybe Requirements = Educational Qualifications + Academic/Professional Experience? But we also have Additional Requirements which could be Requirements. However spec says separate sections: Requirements, Qualifications, Skills. We need to decide what goes where. Typically: Requirements could be experience, education, etc. Qualifications could be degree etc. But we have both. We could treat: - Requirements: Educational Qualifications (5+ years experience, degree plus) and Academic/Professional Experience (strong technical foundation etc.) - Qualifications: maybe Additional Requirements? But Additional Requirements are more like requirements. Hmm. Alternatively, we could treat: - Requirements: Educational Qualifications + Academic/Professional Experience - Qualifications: Additional Requirements (like anti-bot, cloud, LLM, GitHub, English) - Skills: Technical Skills (Essential) But the spec says "Skills" section for technical skills. So we will put Technical Skills there. Now we need to ensure we don't create sections with filler. All have content. Now Benefits: none, so omit. Pay: include. Schedule: include. Now we need to output HTML fragment. Structure:
About the role
... prose ...
Responsibilities
- ... ...
Requirements
... maybe combine into paragraphs? Could also use
- for list items. The spec says use
- for any list of duties/requirements/benefits, and
for prose. So for Requirements we have list items (experience, degree, etc.) and also Academic/Professional Experience points. Could combine into a single list. Similarly for Qualifications: list items. Skills: list items. Pay: maybe prose. Schedule: prose. Now we need to preserve all substantive info. So we need to include each bullet point exactly as in posting (maybe minor punctuation). Ensure we don't lose any. Let's craft. About the role prose: combine the three paragraphs: first paragraph, second paragraph (What We Do), third paragraph (About The Role). Ensure we keep all info. We'll produce:
Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
Now Responsibilities list: each bullet. Now Requirements: combine Educational Qualifications and Academic/Professional Experience. List items: - At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required) - Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus - Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. - We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. - A methodical, detail-oriented approach and the ability to work independently are essential. Now Qualifications: Additional Requirements list. List items: - Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale - Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows - Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks - Strong attention to detail and commitment to data accuracy - Self-directed work ethic with ability to troubleshoot independently - A link to GitHub is a plus - English proficiency: Upper-intermediate (B2) or above (required) Now Skills: Technical Skills (Essential) list. List items: - Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies -