docs.python.org

Backlink analytics and domain authority

Anchors

All Dofollow Nofollow UGC DR ▾ Ref. domains ▾ Ref. pages ▾ Links to target ▾ + Add filter

50 anchors All New Lost

Anchor text	Ref. domains ▾	Top DR	Links to target	Dofollow links
math	23	—	32	29 90.6%
type	23	—	41	40 97.6%
urllib	22	—	43	29 67.4%
KeyError	21	—	40	38 95%
	21	—	33	27 81.8%
time	21	—	40	37 92.5%
threading	20	—	27	24 88.9%
Python Tutorial	20	—	27	26 96.3%
Dict	20	—	100	98 98%
Enum	20	—	61	59 96.7%
NotImplementedError	20	—	79	69 87.3%
functools	19	—	19	15 78.9%
distutils	19	—	36	35 97.2%
hashlib	19	—	34	30 88.2%
docs	18	—	25	15 60%
Iterable	18	—	73	52 71.2%
The Python Tutorial	18	—	19	14 73.7%
2to3	18	—	103	18 17.5%
collections	18	—	22	16 72.7%
Mapping	18	—	91	88 96.7%
range	17	—	35	34 97.1%
open()	17	—	38	31 81.6%
https://docs.python.org/	17	—	19	12 63.2%
official documentation	16	—	19	17 89.5%
tkinter	16	—	16	15 93.8%
urllib2	15	—	19	18 94.7%
Python Standard Library	15	—	18	17 94.4%
defaultdict	14	—	16	14 87.5%
concurrent.futures	14	—	19	17 89.5%
Python Docs	14	—	27	23 85.2%
PathLike	14	—	42	22 52.4%
zipfile	14	—	16	15 93.8%
AttributeError	14	—	82	16 19.5%
os.environ	13	—	28	27 96.4%
ElementTree	13	—	20	16 80%
difflib	13	—	19	16 84.2%
urllib.request	13	—	14	11 78.6%
Python Official Documentation	13	—	14	11 78.6%
Python virtual environment	13	—	19	10 52.6%
https://docs.python.org/3/library/venv.html	12	—	14	9 64.3%
os.PathLike	12	—	40	38 95%
namedtuple	12	—	14	10 71.4%
Python 3	12	—	48	8 16.7%
optparse	12	—	24	23 95.8%
with	12	—	28	26 92.9%
sys.path	12	—	15	12 80%
unittest.mock	11	—	16	15 93.8%
os.path	11	—	12	8 66.7%
PYTHONPATH	11	—	27	21 77.8%
dis	11	—	11	10 90.9%

Frequently Asked Questions

What anchor texts are used to link to docs.python.org?

This page shows all anchor texts found in backlinks pointing to docs.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 docs.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 docs.python.org have?

The anchor text report for docs.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.