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
str	177	—	2973	2841 95.6%
int	148	—	3682	3500 95.1%
None	126	—	1698	1696 99.9%
bool	123	—	1605	1573 98%
dict	107	—	497	480 96.6%
float	86	—	849	825 97.2%
asyncio	81	—	156	79 50.6%
venv	80	—	252	146 57.9%
object	80	—	504	484 96%
list	79	—	439	361 82.2%
Python	77	—	183	108 59%
here	76	—	117	96 82.1%
datetime	68	—	242	236 97.5%
ValueError	62	—	238	211 88.7%
tuple	59	—	452	429 94.9%
unittest	57	—	123	113 91.9%
Any	54	—	302	278 92.1%
Python documentation	54	—	109	103 94.5%
argparse	53	—	84	70 83.3%
os	48	—	72	60 83.3%
multiprocessing	46	—	59	50 84.7%
virtual environment	46	—	93	61 65.6%
pickle	43	—	81	77 95.1%
json	42	—	82	69 84.1%
Exception	42	—	70	68 97.1%
logging	41	—	125	60 48%
pdb	40	—	54	47 87%
ctypes	39	—	62	42 67.7%
re	38	—	69	52 75.4%
Path	35	—	107	106 99.1%
documentation	33	—	37	33 89.2%
TypeError	32	—	85	75 88.2%
subprocess	32	—	46	44 95.7%
docs.python.org	31	—	60	45 75%
glob	30	—	70	62 88.6%
itertools	30	—	41	38 92.7%
https://docs.python.org/3/	30	—	50	25 50%
Sequence	30	—	140	125 89.3%
List	29	—	112	105 93.8%
Callable	29	—	170	139 81.8%
dataclasses	28	—	34	29 85.3%
pathlib	27	—	52	39 75%
csv	27	—	45	30 66.7%
Python Documentation	26	—	37	26 70.3%
sqlite3	25	—	50	46 92%
random	24	—	29	26 89.7%
IDLE	24	—	26	21 80.8%
doctest	24	—	59	27 45.8%
Tkinter	24	—	34	22 64.7%
type	23	—	41	40 97.6%

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.