Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Python | 2514 | — | 0 | 24828 | 23887 96.2% |
| python.org | 266 | — | 0 | 696 | 582 83.6% |
| https://www.python.org/downloads/ | 248 | — | 0 | 356 | 268 75.3% |
| https://www.python.org/ | 193 | — | 0 | 317 | 270 85.2% |
| python | 169 | — | 0 | 319 | 248 77.7% |
| Python.org | 152 | — | 0 | 515 | 471 91.5% |
| Python Powered | 139 | — | 0 | 905 | 905 100% |
| 134 | — | 0 | 207 | 181 87.4% | |
| Python 3 | 112 | — | 0 | 296 | 171 57.8% |
| Python Software Foundation | 108 | — | 0 | 14645 | 14637 99.9% |
| https://www.python.org | 90 | — | 0 | 150 | 137 91.3% |
| www.python.org | 69 | — | 0 | 101 | 70 69.3% |
| here | 67 | — | 0 | 108 | 73 67.6% |
| PEP 8 | 59 | — | 0 | 116 | 101 87.1% |
| PEP8 | 59 | — | 0 | 81 | 61 75.3% |
| http://www.python.org | 55 | — | 0 | 142 | 88 62% |
| http://www.python.org/ | 51 | — | 0 | 92 | 67 72.8% |
| official Python website | 50 | — | 0 | 81 | 72 88.9% |
| https://www.python.org/downloads/windows/ | 50 | — | 0 | 61 | 58 95.1% |
| Python website | 42 | — | 0 | 54 | 46 85.2% |
| Python 2.7 | 36 | — | 0 | 41 | 31 75.6% |
| Download Python | 28 | — | 0 | 55 | 53 96.4% |
| http://www.python.org/download/ | 26 | — | 0 | 33 | 27 81.8% |
| PEP 484 | 25 | — | 0 | 34 | 30 88.2% |
| python.org/downloads | 24 | — | 0 | 28 | 26 92.9% |
| official website | 24 | — | 0 | 34 | 29 85.3% |
| Python 3.10 | 22 | — | 0 | 40 | 35 87.5% |
| Download | 22 | — | 0 | 75 | 71 94.7% |
| Python3 | 21 | — | 0 | 47 | 41 87.2% |
| Zen of Python | 21 | — | 0 | 31 | 24 77.4% |
| Python programming language | 21 | — | 0 | 26 | 24 92.3% |
| Python 3.6 | 20 | — | 0 | 290 | 270 93.1% |
| PEP 257 | 17 | — | 0 | 19 | 14 73.7% |
| https://python.org | 17 | — | 0 | 18 | 14 77.8% |
| Python 3.8 | 17 | — | 0 | 50 | 45 90% |
| https://www.python.org/downloads | 16 | — | 0 | 24 | 22 91.7% |
| پایتون | 16 | — | 0 | 28 | 27 96.4% |
| PSF | 16 | — | 0 | 115 | 115 100% |
| Python 3.9+ | 14 | — | 0 | 27 | 15 55.6% |
| Python 3.7 | 14 | — | 0 | 18 | 13 72.2% |
| https://www.python.org/dev/peps/pep-0008/ | 14 | — | 0 | 15 | 14 93.3% |
| Python Version | 13 | — | 0 | 41 | 15 36.6% |
| http://python.org/ | 13 | — | 0 | 19 | 16 84.2% |
| Python 3.11 | 13 | — | 0 | 18 | 15 83.3% |
| CPython | 13 | — | 0 | 41 | 18 43.9% |
| http://python.org | 12 | — | 0 | 25 | 18 72% |
| http://www.python.org/dev/peps/pep-0008/ | 12 | — | 0 | 17 | 11 64.7% |
| PEP 20 | 12 | — | 0 | 17 | 12 70.6% |
| https://www.python.org/doc/ | 12 | — | 0 | 19 | 18 94.7% |
| Python 3.9 | 12 | — | 0 | 18 | 12 66.7% |
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.