Data Extraction
Data Extractiondata extraction
Providers using this tag (66)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 18 Solid coverage with minor gaps
Developing 21 Usable, with meaningful gaps to close
Thin 13 Limited public surface area
Minimal 4 Almost no public developer surface
Unrated 2 Not yet scored
APIs with this tag (55)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Strong 6 Solid coverage with minor gaps
Developing 19 Usable, with meaningful gaps to close
Thin 26 Limited public surface area
Emerging 4 Early or largely undocumented
Companies reaching this through an API (14)
These companies publish an API, specification or operation carrying “Data Extraction” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 63 providers in the APIs.io catalog tagged Data Extraction, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 47.8 | 19.8 | +28 | 63 |
| Developer Ergonomics | 48.7 | 23.4 | +25.3 | 63 |
| Access Clarity | 48.3 | 26.5 | +21.8 | 63 |
| Operational Transparency | 34.4 | 14 | +20.4 | 63 |
| Discoverability | 69.2 | 61.2 | +8 | 63 |
| Contract Governance | 10.3 | 6.4 | +3.9 | 63 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 37% | 10% | +27 |
| MCP server (first-party) | 42% | 13% | +29 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 8% | 11% | -3 |
| Security | 95% | 97% | -2 |
| Arazzo workflows | 6% | 2% | +4 |
| Governance rules | 22% | 14% | +8 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Xquik 87.6
- 2 KonbiniAPI 71
- 3 Crawl4AI 65.6
- 4 Landing.ai 62.4
- 5 Chocodata 61.9
- 6 SerpWow 61.5
- 7 Structify 61.2
- 8 Amazon Scraper API 60.5
- 9 WebScraping.AI 60.4
- 10 Nanonets 58.7
- 1 Xquik 91.4
- 2 WebScraping.AI 65
- 3 TinyFish 49
- 4 Social Fetch 45.7
- 5 ABBYY 44.1
- 6 Nimbleway 41.8
- 7 Eigenpal 40.8
- 8 KonbiniAPI 39.9
- 9 Bem 39.2
- 10 Nanonets 38.1
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.