Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 16:43 UTC

henrique-coder / perplexity-webui-scraper

An advanced, high-performance Python client, MCP server, and REST API for reverse-engineering Perplexity AI's WebUI.

PythonMIT★ 137 stars⑂ 30 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolLibraryMCP serverhow this is determined
#ai#perplexity#scraper#fastapi#mcp#openapi-compatible

henrique-coder/perplexity-webui-scraper holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (59/100). It was last updated today. A single contributor accounts for most of its recent work.

91
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

91
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Henrique MoreiraPersonal account
16 followers10 public repossince Feb 2021

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIperplexity-webui-scraper1.1.1011,4793213 days agoaifastapimcpopenai-compatibleperplexityscraper

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

90Excellent · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 0 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 414 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year414
human_commit_share0.91
days_since_last_push0
active_weeks_last_year38

Release discipline

90Excellent
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 13 days ago
27/27Release cadence — a release every ~10.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count28
latest_release_tagv1.1.10
releases_from_tagsno
days_since_latest_release13
mean_days_between_releases10.6

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

69Good · 17% of overall

Popularity & adoption

50Moderate
How it's scored
34.6/60Stars — 137 stars
12.2/25Forks — 30 forks
2.7/15Watchers — 4 watchers
Inputs used
forks30
stars137
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54.1/80Monthly downloads — 11,479 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesperplexity-webui-scraper
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,479
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

27At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.3/22.5Commit distribution — top contributor authored 94% of commits
6.8/13.5Contributor breadth — 5 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.944

Issue & PR responsiveness

77Good
How it's scored
42/42Issue resolution — 100% of issues closed
24.7/30PR acceptance — 51/62 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/18 approved changesets -- score normalized to 0
Inputs used
merged_prs51
open_issues0
closed_issues17
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio1
closed_unmerged_prs11
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

47Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8.8/25Owner reach — 16 followers of henrique-coder
19/25Track record — 10 public repos, account ~5 yr old
Inputs used
followers16
owner_typeUser
is_verified—
owner_loginhenrique-coder
public_repos10
account_age_days2,078
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 13 days ago
20/20Version history — 32 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesperplexity-webui-scraper
ecosystemspypi
any_deprecatedno
min_days_since_publish13

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://perplexity-webui-scraper.readthedocs.io
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsai, perplexity, scraper, fastapi, mcp, openapi-compatible
has_wikino
homepagehttps://perplexity-webui-scraper.readthedocs.io
docs_sitehttps://perplexity-webui-scraper.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

77Good · 16% of overall

Security posture

71Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/18 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.1

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages18
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:perplexity-webui-scraper@1.1.10 runtime dependency closure — what installing the published package pulls in — 18 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

79Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 87 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.956
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes12,428

Verify loop (build / test / typecheck)

90Excellent
How it's scored
18/18One-command bootstrap — Justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/perplexity_webui_scraper/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 9 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespnpm-lock.yaml, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesJustfile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/perplexity_webui_scraper/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.09

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/perplexity_webui_scraper/py.typed)
55/55Manageable file sizes — 0/72 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes19,259
source_files_sampled72
oversized_source_files0

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

137GitHub stars
5contributors
414commits, last 12 months
0days since last push
28releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 30 ⇿
0Stars
30Forks
28Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

0510152025302752025-092026-042026-10
Major 1Minor 4Patch 23
OpenSSF Scorecard 7.1 / 10
7.1aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-10-19 16:43 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests4 out of 4 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/18 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIcurl-cffi>=0.16.0pyproject.toml
PyPIloguru>=0.7.0pyproject.toml
PyPIorjson>=3.12.0pyproject.toml
PyPIpydantic>=2.12.0, <3.0.0pyproject.toml
PyPItyper>=0.20.0pyproject.toml
All dependencies 125

Full resolved dependency set from the GitHub dependency graph: 5 direct and 120 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcurl-cffi0.16.3direct
PyPIloguru0.7.3direct
PyPIorjson3.13.0direct
PyPIpydantic2.14.1direct
PyPItyper0.27.3direct
npm@taplo/cli0.7.0indirect
npmprettier3.9.10indirect
PyPIaiofile3.12.3indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.9.1indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackrefs8.1indirect
PyPIbeartype0.23.1indirect
PyPIcachetools7.2.3indirect
PyPIcaio0.12.9indirect
PyPIcertifi2026.10.18indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.2indirect
PyPIcyclopts5.2.0indirect
PyPIdnspython2.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastapi0.148.0indirect
PyPIfastmcp4.1.1indirect
PyPIfastmcp-slim4.1.1indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.4.0indirect
PyPIh110.16.0indirect
PyPIhttpcore22.14.0indirect
PyPIhttptools0.9.0indirect
PyPIhttpx22.14.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.20indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjh25.0.15indirect
PyPIjinja23.1.6indirect
PyPIjoserfc1.7.7indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown3.11.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.4indirect
PyPImcp2.3.0indirect
PyPImcp-types2.3.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.8indirect
PyPImkdocstrings-python2.0.10indirect
PyPImore-itertools11.2.1indirect
PyPIniquests3.21.2indirect
PyPIopenapi-pydantic0.6.0indirect
PyPIopentelemetry-api1.45.1indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIperplexity-webui-scraper1.2.0indirect
PyPIplatformdirs4.13.5indirect
PyPIpluggy1.7.0indirect
PyPIprek0.5.6indirect
PyPIpy-key-value-aio0.4.6indirect
PyPIpycparser3.11indirect
PyPIpydantic-core2.50.1indirect
PyPIpydantic-settings2.16.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.15.1indirect
PyPIpymdown-extensions12.3indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.4indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIqh32.0.4indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.2.0indirect
PyPIrpds-py2026.9.1indirect
PyPIruff0.17.1indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsse-starlette3.5.0indirect
PyPIstarlette1.9.0indirect
PyPItruststore0.10.5indirect
PyPIty0.0.89indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIuncalled-for0.4.1indirect
PyPIurllib32.8.0indirect
PyPIurllib3-future2.25.902indirect
PyPIuvicorn0.54.0indirect
PyPIuvloop0.23.0indirect
PyPIwassima2.1.4indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.3.0indirect
PyPIwebsockets17.2indirect
PyPIwin32-setctime1.2.0indirect
PyPIzipp4.1.1indirect
PyPIzizmor1.31.1indirect
Dependency advisories 0

Installing pypi:perplexity-webui-scraper@1.1.10 pulls in 18 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with henrique-coder/perplexity-webui-scraper. Read them side by side →

99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional95headroomlabs-ai/headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.Exceptional95pipeshub-ai/pipeshub-aiPipesHub is an open-source platform for securely connecting enterprise knowledge to AI. Give AI agents trusted context and your team permission-aware search with verified citations across your business systems.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional99pydantic/logfireAI observability platform for production LLM and agent systems.Exceptional99awslabs/cli-agent-orchestratorMulti-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessionsExceptional

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.