Comparison
autoscraper vs awesome
Verdict
Pick autoscraper if autoscraper is specialized for Python developers who require fast and lightweight web scraping with an emphasis on automation. It offers smart automatic features to simplify the process of extracting data from websites; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
Markdown twin · autoscraper alternatives · awesome alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | autoscraper | awesome |
|---|---|---|
| Maintenance | Steady (52d since push) As of Sep 20, 2026 · github_public_v1 | Very active (2d since push) As of Sep 4, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 4, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of Sep 6, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Published findings As of Aug 16, 2026 · openssf-scorecard@v1 |
Tagline
- autoscraper
- A Smart Automatic Fast and Lightweight Web Scraper for Python
- awesome
- 😎 Awesome lists about all kinds of interesting topics
Stars
- autoscraper
- 8.0k
- awesome
- 503k
Forks
- autoscraper
- 826
- awesome
- 37k
Open issues
- autoscraper
- 1
- awesome
- 106
Language
- autoscraper
- Python
- awesome
- -
Adopt for
- autoscraper
- Autoscraper is specialized for Python developers who require fast and lightweight web scraping with an emphasis on automation. It offers smart automatic features to simplify the process of extracting data from websites.
- awesome
- A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
Persona
- autoscraper
- -
- awesome
- -
Runtime
- autoscraper
- -
- awesome
- -
License
- autoscraper
- MIT
- awesome
- CC0-1.0
Last pushed
- autoscraper
- Jul 29, 2026
- awesome
- Sep 2, 2026
Categories
- autoscraper
- Developer Tools
- awesome
- Developer Tools
Trust and health
Maintenance
- autoscraper
- Steady (60%)
- awesome
- Very active (96%)
Days since push
- autoscraper
- 52d
- awesome
- 2d
Open issues (now)
- autoscraper
- 1
- awesome
- 106
Stars delta
- autoscraper
- +146 (30d)
- awesome
- +11k (30d)
Open issues delta
- autoscraper
- 0 (30d)
- awesome
- +6 (30d)
deps.dev advisories
- autoscraper
- Not queried
- awesome
- No lockfile (source not queried)
OpenSSF Scorecard
- autoscraper
- Not queried
- awesome
- Published findings
Full report
- autoscraper
- Trust report
- awesome
- Trust report
Choose autoscraper if…
- License: autoscraper is MIT, awesome is CC0-1.0.
- Tags unique to autoscraper: ai, artificial-intelligence, automation, machine-learning.
- When working within Python projects where automatic, quick, and relatively simple web scraping tasks are required without complex setup or configurations.
When NOT to use autoscraper
- If your project necessitates advanced customization options not inherently provided by Autoscraper's automatic functionalities.
- For use cases requiring integration with non-Python frameworks or environments as Autoscraper is exclusive to Python development.
Choose awesome if…
- License: awesome is CC0-1.0, autoscraper is MIT.
- Tags unique to awesome: awesome, awesome-list, lists, resources.
- When you need well-organized access to diverse technical subjects from IoT to robotics
When NOT to use awesome
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
- In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alirezamika/autoscraper) · observed Sep 20, 2026
- GitHub forks (alirezamika/autoscraper) · observed Sep 20, 2026
- Last push (alirezamika/autoscraper) · observed Jul 29, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sindresorhus/awesome) · observed Sep 20, 2026
- GitHub forks (sindresorhus/awesome) · observed Sep 20, 2026
- Last push (sindresorhus/awesome) · observed Sep 2, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoscraper 8.0k · awesome 503k (synced Sep 20, 2026).
Common questions
- What is the difference between autoscraper and awesome?
- autoscraper: A Smart Automatic Fast and Lightweight Web Scraper for Python. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoscraper over awesome?
- Choose autoscraper over awesome when License: autoscraper is MIT, awesome is CC0-1.0; Tags unique to autoscraper: ai, artificial-intelligence, automation, machine-learning; When working within Python projects where automatic, quick, and relatively simple web scraping tasks are required without complex setup or configurations.
- When should I choose awesome over autoscraper?
- Choose awesome over autoscraper when License: awesome is CC0-1.0, autoscraper is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics.
- When should I avoid autoscraper?
- If your project necessitates advanced customization options not inherently provided by Autoscraper's automatic functionalities. For use cases requiring integration with non-Python frameworks or environments as Autoscraper is exclusive to Python development.
- When should I avoid awesome?
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
- Is autoscraper or awesome more popular on GitHub?
- awesome has more GitHub stars (502,873 vs 7,985). Stars measure visibility, not whether either tool fits your constraints.
- Are autoscraper and awesome open source?
- Yes - both are open-source projects on GitHub (autoscraper: MIT, awesome: CC0-1.0).
- Where can I find alternatives to autoscraper or awesome?
- GraphCanon lists graph-backed alternatives at autoscraper alternatives and awesome alternatives (autoscraper markdown twin, awesome markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, autoscraper or awesome?
- autoscraper: Steady. awesome: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for autoscraper and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoscraper trust report; awesome trust report.