advertools
Digital Marketing productivity and analysis tools.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real pain point in marketing automation—data preparation and campaign setup. The modular design and DataFrame-first approach make it easy to integrate into existing Python workflows. Install it if you work with SEO, SEM, or digital marketing data at scale.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Scrapy and its dependencies; large crawls may need custom Scrapy settings and sufficient system resources.
- Low friction installation with a pure-Python wheel.
- Active maintenance with a recent release 58 days ago and 1437 repository stars.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), allowing free use, modification, and distribution with minimal restrictions.
last release 2026-06-17 (58 days) · last repo commit 2026-06-30 · 1,437 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,482 downloads/mo, #14,827 on PyPI
Alternatives
Verify before relying
pip install advertools
import advertools as adv
# Generate keyword variations
keywords = adv.kw_generate(
products=['laptop', 'tablet'],
words=['cheap', 'best']
)
# Crawl a website for SEO data
adv.spider(
'https://example.com',
output_file='crawl_results.csv'
)- Whether the package supports Python 2 as suggested by the wheel filename, or Python 3 only as the classifier indicates
- Specific version constraints for runtime dependencies and minimum Python version
What it is and what it does
advertools is a Python package designed to reduce the data-wrangling overhead in digital marketing work. Rather than building a monolithic framework, it provides independent functions that each handle one specific task well—generating keywords, creating ads, crawling websites, parsing search results, downloading sitemaps—and returns results as pandas DataFrames so you can combine them with other tools. The package is built on top of established libraries like Scrapy for crawling and requests for HTTP operations, and follows a Unix-like philosophy: each function does one thing, they work together in pipelines, and they handle text/tabular data as a universal interface. It targets practitioners doing SEO, SEM campaign setup, and online marketing analysis who spend most of their time manipulating URLs, stitching tables together, and generating campaign data rather than building models.
Use it for
- Generate keyword variations for SEM campaigns at scale, then map them to ad copy and landing pages
- Crawl a website to extract SEO metadata (titles, headers, status codes, custom selectors) and analyze site structure
- Download and parse XML sitemaps and robots.txt files to audit site indexation and crawl directives
- Query Google and YouTube SERP data via API to track rankings and search results for keyword analysis
- Create templated ad copy by bulk-replacing product names and text segments across hundreds of ads
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real pain point in marketing automation—data preparation and campaign setup. The modular design and DataFrame-first approach make it easy to integrate into existing Python workflows. Install it if you work with SEO, SEM, or digital marketing data at scale.
Install
advertools on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a recent release 58 days ago and 1437 repository stars. Six runtime dependencies (pandas, scrapy, requests, pyarrow, twython, pyasn1) are all widely used and stable.
Requires Scrapy and its dependencies; large crawls may need custom Scrapy settings and sufficient system resources.
License in practice
Licensed under MIT (permissive), allowing free use, modification, and distribution with minimal restrictions.
Quickstart
pip install advertools
import advertools as adv
# Generate keyword variations
keywords = adv.kw_generate(
products=['laptop', 'tablet'],
words=['cheap', 'best']
)
# Crawl a website for SEO data
adv.spider(
'https://example.com',
output_file='crawl_results.csv'
)Verify before relying
- Whether the package supports Python 2 as suggested by the wheel filename, or Python 3 only as the classifier indicates
- Specific version constraints for runtime dependencies and minimum Python version
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagespandaspyasn1scrapytwythonpyarrowrequests |
| Maintenance | Actively maintained 58 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 74,482 / month, #14,827 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3 |
Evidence: advertools-0.18.0-py2.py3-none-any.whl
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See also facebook-business · twitter-ads · dataforseo-client · googleads · klaviyo-api · apache-airflow-providers-facebook · bingads · Salesforce-FuelSDK · google-meridian · google-ads-admanager