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Top 46 Web Scraping, Crawlers & Browser Automation Repos (March 2026)

repos

Browse 46 web scrapers, data extractors, Playwright/Puppeteer automation scripts, and crawler frameworks published in March 2026.

Scrapers & Automation — March 31, 2026

GitHub
Headless Obsidian Sync Clientalexjbarnes/vault-sync
GitHub
Desktop Automation with Codexnickbarth/closedbots
GitHub
Calculator C Parseralt-romes/calculator-c-parser
GitHub
Playwright MCP Server with NoVNC Displayxtr-dev/mcp-playwright-novnc

+ 6 more verified repositories in full dataset...

Executive Intelligence Summary

During March 2026, the Repos tracking engine indexed 46 open-source repositories matching the Scrapers & Automation cluster.

These projects represent active engineering teams and independent open-source developers shipping production code, architectural prototypes, and developer tooling.


Key Sector Telemetry & Maintainer Trends

  • Primary Topic Signals: automation (16), parser (10), headless (7), cli (6), extract (4), web (4)
  • Active Maintainers & Orgs: run-llama (2), intellectronica (1), nabroleonx (1), google-gemini (1), lokoe-mehdi (1)
  • Sample Records Displayed: 40 of 46
  • Remaining Available in Dataset: 6 records

3 Ways to Monetize & Leverage This Developer Intelligence

1. DevTool Sales & Technical Outbound

Reach out to repository creators who just launched tools in the Scrapers & Automation space. Maintainers actively shipping code are prime candidates for cloud infrastructure, CI/CD automation, API credits, and developer tools.

2. High-Signal Tech Recruitment

Identify skilled engineers working on bleeding-edge projects. Sourcing talent directly from verified open-source releases gives you verified code samples and active commits.

3. Competitive Intelligence & Directory Building

Import structured repository telemetry into internal dashboards, market landscape charts, or developer directory websites to track where open-source velocity is concentrating.


Developer Usage Recipe

import pandas as pd

# Load Repos Master Index
df = pd.read_csv("repos.csv")

# Filter for March 2026 records in this sector
sector_repos = df[df["month"] == "2026-03"]
print(f"Loaded {len(sector_repos):,} open-source repositories from March 2026")

If you need the full dataset of 19,400+ developer repository records formatted for instant use in spreadsheets, pipelines, or databases, check out the Repos Master Dataset.

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