D4Vinci/Scrapling
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
First read
Strong enough to justify a deeper source review
D4Vinci/Scrapling looks visible enough to matter, active enough to trust for a next pass, and adopted enough to merit checking maintainers, releases, and real integration cost in the source repository.
Visible
83.5K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Active
Last commit Sep 25, 2026.
Fresh activity
Adopted
pypi gives the strongest production-style signal.
8.7M/week
Confidence
Both package adoption and momentum are available.
High-confidence read
Snapshot facts
- 83.5K stars
- 8.5K forks
- Last commit Sep 25, 2026
- pypi 8.7M/week
Compare lens
n8n-io/n8n and The-Vibe-Company/quivr are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
+959
Monthly momentum
+6.6K
Last commit
Sep 25, 2026
Package reality
GitStar found pypi:requests. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
Hype vs Reality
Balanced
Package mapping
pypi · requests
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for D4Vinci/Scrapling, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
Package signal
Install & Package Signals
GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.
Balanced
Recent attention and package usage are moving in the same direction.
PyPI package
requests
8.7M downloads/week
pip install requests
crawlercrawlingcrawling-pythonplaywrightpythonscrapingselectorsstealthweb-scraperweb-scrapingweb-scraping-pythonwebscrapingxpathautomationaiai-scrapingdatadata-extractionmcpmcp-server
🐙Polyglot
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines 959 weekly momentum and package adoption.
959 weekly momentumPackage adoptionFresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 83.5K
Daily momentum
No signal
Weekly momentum · GH history
+959
Monthly momentum · GH history
+6.6K
Signal mix (log-scaled for readability)
Current stars83.5K
30d star gain6.6K
Weekly package downloads8.7M
🧭 Hype vs Reality
BalancedRecent attention and package usage are moving in the same direction.
This usually means the project has both mindshare and a measurable production footprint, which makes it a stronger validation candidate.
Status
Balanced
Package footprint
PyPI · 8.7M/week
Method note
Balanced means GitStar sees both meaningful package adoption and enough current star velocity or scale to avoid reading the repo as purely niche. Compare it against other Python repos before treating stars as a moat.
Related alternative
n8n-io/n8n
Shares the frameworks category footprint with D4Vinci/Scrapling, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
The-Vibe-Company/quivr
Shares the frameworks category footprint with D4Vinci/Scrapling, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
apache/camel
Shares the frameworks category footprint with D4Vinci/Scrapling, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
scrapy/scrapy
Shares the frameworks category footprint with D4Vinci/Scrapling, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked n8n + quivr as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
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<a href="https://gitstar.space/repo/D4Vinci/Scrapling"><img src="https://gitstar.space/api/badge/D4Vinci/Scrapling" alt="GitStar"></a>Styles:
Wider nearby ecosystem
TypeScript
206.9K starsn8n-io/n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Go
39.6K starsThe-Vibe-Company/quivr
An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.
Java
6.4K starsapache/camel
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Python
64.7K starsscrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
TypeScript
190K starsfirecrawl/firecrawl
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
Go
20.9K starsgofr-dev/gofr
An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of D4Vinci/Scrapling based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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