Web scraping jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-01, Web scraping appears in 121 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Web scraping.

Last updated · 90d ending 2026-10-01

Postings · last 90 days
121
Top role · 23.1% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about Web scraping

+Is Web scraping in demand in 2026?

Yes. Web scraping appears in 121 job postings indexed by Skillenai over the 90 days ending 2026-10-01. Software Engineer accounts for the most postings mentioning Web scraping (23.1% of all postings mentioning Web scraping).

+What jobs require Web scraping?

According to the Skillenai jobs index over the 90 days ending 2026-10-01, among roles with at least 20 postings, the highest shares mentioning Web scraping are Tech Lead Manager (9.1% of that role’s postings mention Web scraping), Artificial Intelligence Engineer (8.3% of that role’s postings mention Web scraping), Growth Marketer (4.8% of that role’s postings mention Web scraping).

+What skills are commonly paired with Web scraping?

Across job postings indexed by Skillenai (90 days ending 2026-10-01), Web scraping most often appears alongside Python, SQL, AWS, ETL, APIs.

+Where is Web scraping most in demand?

As of 2026-10-01, the metro areas posting the most jobs requiring Web scraping are San Francisco, New York City, Bengaluru, London, Vilnius, according to the Skillenai jobs index.

+How can I keep up with new Web scraping content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Web scraping alongside the jobs index. You can subscribe to a daily email digest of new Web scraping content from your Skillenai account.

+Which skills come before and after Web scraping?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Web scraping — last 90 days

Career paths around Web scraping

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Web scraping

Before Web scrapingpython → Web scraping: 31 observed employer moves with this skill pairsql → Web scraping: 21 observed employer moves with this skill pairTableau → Web scraping: 11 observed employer moves with this skill pairExcel → Web scraping: 10 observed employer moves with this skill pairJava → Web scraping: 6 observed employer moves with this skill pairR → Web scraping: 6 observed employer moves with this skill pairMYSQL → Web scraping: 5 observed employer moves with this skill pairmachine learning → Web scraping: 5 observed employer moves with this skill pairWeb scrapingpython: 31 movespython31 movessql: 21 movessql21 movesTableau: 11 movesTableau11 movesExcel: 10 movesExcel10 movesJava: 6 movesJava6 movesR: 6 movesR6 movesMYSQL: 5 movesMYSQL5 movesmachine learning: 5 movesmachine learning5 moves

Skills after Web scraping

After Web scrapingWeb scraping → sql: 16 observed employer moves with this skill pairWeb scraping → python: 14 observed employer moves with this skill pairWeb scraping → Tableau: 11 observed employer moves with this skill pairWeb scraping → S3: 6 observed employer moves with this skill pairWeb scraping → Power BI: 6 observed employer moves with this skill pairWeb scraping → Git: 6 observed employer moves with this skill pairWeb scraping → AWS: 6 observed employer moves with this skill pairWeb scraping → PySpark: 5 observed employer moves with this skill pairWeb scrapingsql: 16 movessql16 movespython: 14 movespython14 movesTableau: 11 movesTableau11 movesS3: 6 movesS36 movesPower BI: 6 movesPower BI6 movesGit: 6 movesGit6 movesAWS: 6 movesAWS6 movesPySpark: 5 movesPySpark5 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python31
Before: sql21
Before: Tableau11
Before: Excel10
Before: Java6
Before: R6
Before: MYSQL5
Before: machine learning5
After: sql16
After: python14
After: Tableau11
After: S36
After: Power BI6
After: Git6
After: AWS6
After: PySpark5

Roles most likely to require Web scraping

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Tech Lead Manager29.1%
Artificial Intelligence Engineer28.3%
Growth Marketer14.8%
Solution Consultant14.5%
Python Developer34.3%
Analytics Intern13.6%
Founding Engineer43.1%
Developer Relations Engineer13.1%
Growth Analyst13.1%
BI Analyst12.9%

Roles with the most Web scraping postings

RolePostings mentioning skillShare of skill postings
Software Engineer2823.1%
Data Scientist86.6%
Data Engineer75.8%
Data Analyst65.0%
Backend Engineer54.1%
Founding Engineer43.3%
Full-Stack Engineer32.5%
Python Developer32.5%
AI Engineer21.7%
Artificial Intelligence Engineer21.7%

Top companies posting jobs requiring Web scraping

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Web scraping
CompanyPostings · 90 days
CLERA11
Hire Hangar6
Oxylabs3
Icapitalnetwork3
Midpage2
Speechmatics2
Gptzero2
2020companies2
Wynd Labs2
Profound2

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Web scraping

NamePostingsShare
San Francisco108.3%
New York City97.4%
Bengaluru32.5%
London32.5%
Vilnius32.5%
Algiers21.7%
Buenos Aires21.7%
Charlottesville21.7%
Hong Kong21.7%

Skills commonly paired with Web scraping

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Web scraping by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Web scraping postings by all Web scraping postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
46276342acefffdd
data_as_of
2026-10-01
window_days
90
Hiring engineers who use Web scraping?

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index