Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| PEP 495 | 3 | — | 0 | 4 | 4 100% |
| PEP 412 | 3 | — | 0 | 4 | 4 100% |
| http://www.python.org/downloads/ | 3 | — | 0 | 3 | 3 100% |
| Python Programming | 3 | — | 0 | 3 | 3 100% |
| python.org. | 3 | — | 0 | 3 | 2 66.7% |
| Python 3000 | 3 | — | 0 | 3 | 3 100% |
| install Python | 3 | — | 0 | 3 | 3 100% |
| site officiel | 3 | — | 0 | 3 | 1 33.3% |
| Python installation | 3 | — | 0 | 3 | 2 66.7% |
| PEP 486 | 3 | — | 0 | 4 | 4 100% |
| PEP 282 | 3 | — | 0 | 5 | 5 100% |
| Python 3.7+ | 3 | — | 0 | 10 | 2 20% |
| 请捐助。 | 3 | — | 0 | 13 | 13 100% |
| PEP 613 | 3 | — | 0 | 4 | 4 100% |
| Python version | 3 | — | 0 | 4 | 1 25% |
| Getting Started with Python | 3 | — | 0 | 5 | 2 40% |
| Download here | 3 | — | 0 | 3 | 3 100% |
| Descarga | 3 | — | 0 | 39 | 39 100% |
| PEP 318 | 3 | — | 0 | 3 | 3 100% |
| PEP 450 | 3 | — | 0 | 4 | 4 100% |
| DB-API | 3 | — | 0 | 4 | 1 25% |
| PEP-563 | 3 | — | 0 | 3 | 1 33.3% |
| PEP 3149 | 3 | — | 0 | 6 | 6 100% |
| https://www.python.org/doc/versions/ | 3 | — | 0 | 4 | 3 75% |
| https://www.python.org/psf/codeofconduct/ | 3 | — | 0 | 36 | 33 91.7% |
| Membership | 3 | — | 0 | 10 | 10 100% |
| http://www.python.org/dev/peps/pep-0333/ | 3 | — | 0 | 3 | 3 100% |
| Python downloads page | 3 | — | 0 | 3 | 2 66.7% |
| PEP 589 | 3 | — | 0 | 6 | 6 100% |
| Help fund Python and its community | 3 | — | 0 | 16 | 13 81.2% |
| PEP 590 | 3 | — | 0 | 6 | 6 100% |
| python.orgarrow-up-right | 3 | — | 0 | 5 | 5 100% |
| PEP 680 | 3 | — | 0 | 6 | 5 83.3% |
| PEP 615 | 3 | — | 0 | 3 | 2 66.7% |
| PythonFaq | 3 | — | 0 | 5 | 5 100% |
| Python Releases for WindowsThe official home of the Python Programming Languagewww.python.org | 3 | — | 0 | 3 | 3 100% |
| PEP 411 | 3 | — | 0 | 6 | 6 100% |
| https://www.python.org/downloads/release/python-3125/ | 3 | — | 0 | 3 | 1 33.3% |
| About Python | 3 | — | 0 | 4 | 4 100% |
| PEP 544 | 3 | — | 0 | 4 | 4 100% |
| Funciona amb el Python | 2 | — | 0 | 9 | 9 100% |
| PEP 273 | 2 | — | 0 | 2 | 2 100% |
| پایتون 2.7 یا 3.4 یا بالاتر | 2 | — | 0 | 3 | 3 100% |
| 3.7.1 | 2 | — | 0 | 2 | 2 100% |
| PEP 3108 | 2 | — | 0 | 2 | 2 100% |
| Python 2.7 या 3.4 या इससे नए वर्शन | 2 | — | 0 | 3 | 3 100% |
| منبع | 2 | — | 0 | 2 | 1 50% |
| https://www.python.org/download/releases/2.3/mro/ | 2 | — | 0 | 4 | 4 100% |
| PEP 418 | 2 | — | 0 | 2 | 2 100% |
| Unifying types and classes in Python 2.2 | 2 | — | 0 | 2 | 1 50% |
Frequently Asked Questions
What anchor texts are used to link to python.org?
This page shows all anchor texts found in backlinks pointing to python.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe python.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does python.org have?
The anchor text report for python.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.