Scrape Marketing Jobs to CSV — Channels, Funnels, Budgets

Export roles across brand, growth, content, SEO, SEM, lifecycle, and analytics with channel and tool signals. Output in csv for campaign staffing and market mapping.

Marketing professional

Why Scrape Marketing Roles to CSV?

1

Channel Expertise

Detect SEO/SEM, paid social, content, email, CRO, affiliate, and partnership focus from listings.

2

Tooling & Stack

Capture references to GA, HubSpot, Marketo, SFMC, Ahrefs, SEMrush, Mixpanel, Looker.

3

Seniority & Scope

Differentiate IC vs manager vs director/VP and brand vs performance mandates.

How to Scrape Marketing Jobs to CSV

1

Define the Search

Enter marketing keywords, include/exclude terms, set target geographies, seniority levels, company filters, and a posting date window.

2

Run Extraction

We fetch live LinkedIn job results that match your criteria, parse the listings, normalize fields, and remove duplicates by stable identifiers.

3

Validate and Refine

Preview a sample of parsed results, adjust filters if needed, and re-run. Persist your configuration as a saved search for future runs.

4

Download the CSV

Export the curated dataset in csv. Each file uses a consistent schema designed for spreadsheets and BI tooling.

Key Features for Marketing Job Scraping

Real-time extraction with deterministic parsing
Stable column schema in csv for downstream tools
Keyword, boolean, and negative filters
Location normalization with remote/hybrid flags
Seniority inference (junior, mid, senior, lead, director)
Salary capture (explicit) with optional band inference
Posting date, freshness window, and deduplication
Bulk export and historical snapshots
Saved searches and scheduled runs
API access for automation and pipelines

Frequently Asked Questions

How accurate is the marketing job data?

We parse directly from current listing markup and apply validation rules. Typical field precision exceeds 95% on core attributes (title, company, location, URL). Salary and skills extraction depends on listing completeness.

Can I export large datasets to csv?

Yes. You can export thousands of rows per run. For very large pulls, schedule multiple smaller windows (by date or location) to keep files responsive in Excel and Google Sheets.

How often is data updated?

On-demand. Each run pulls fresh results at execution time. Use saved searches and schedules to maintain weekly or daily cadence.

Is the csv export compatible with BI tools?

Yes. The csv output is clean and consistent for direct use in Excel, Google Sheets, Power BI, Tableau, Looker Studio, and CSV-based ETL.

Do you respect platform guidelines?

We implement rate controls, responsible use, and data hygiene. You are responsible for using exported data in accordance with LinkedIn's terms and applicable laws.

Start Scraping Marketing Jobs Today

Build a defensible hiring and market-intelligence workflow with clean csv datasets that your team can trust.

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