Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 政府資料開放平臺 | 19 | — | 0 | 474 | 474 100% |
| 政府資料開放授權條款 | 13 | — | 0 | 305 | 305 100% |
| 政府資料開放授權條款-第1版 | 12 | — | 0 | 16 | 16 100% |
| 政府資料開放平台 | 11 | — | 0 | 12 | 11 91.7% |
| https://data.gov.tw/license | 6 | — | 0 | 109 | 108 99.1% |
| 本部資料開放列表 | 3 | — | 0 | 3 | 3 100% |
| 政府資料開放授權條款－第1版 | 3 | — | 0 | 3 | 3 100% |
| Open Government Data License | 3 | — | 0 | 264 | 264 100% |
| http://data.gov.tw/ | 3 | — | 0 | 3 | 3 100% |
| Open Government Data License, version 1.0 (OGDL-Taiwan-1.0) | 3 | — | 0 | 3 | 3 100% |
| DATA.GOV.TW | 3 | — | 0 | 4 | 4 100% |
| Open Government Data License, version 1.0 | 2 | — | 0 | 445 | 445 100% |
| http://data.gov.tw/license | 2 | — | 0 | 9 | 2 22.2% |
| 政府資料開放授權條款-第1版發布 | 2 | — | 0 | 2 | 2 100% |
| 政府資料開放授權條款--第1版 | 2 | — | 0 | 2 | 2 100% |
| https://data.gov.tw | 2 | — | 0 | 2 | 2 100% |
| OGDL-Taiwan-1.0 | 2 | — | 0 | 2 | 2 100% |
| https://data.gov.tw/ | 2 | — | 0 | 7 | 7 100% |
| • 政府資料開放平台 | 2 | — | 0 | 2 | 2 100% |
| https://data.gov.tw/dataset/39222 | 2 | — | 0 | 2 | 2 100% |
| 登記工廠名錄 | 2 | — | 0 | 2 | 2 100% |
| data.gov.tw | 2 | — | 0 | 2 | 2 100% |
| Open Data | 2 | — | 0 | 10 | 10 100% |
| 每日各站點進出站人數 | 2 | — | 0 | 4 | 1 25% |
| TELEGRAM @SEO_LINKK – MASS BACKLINKING, HIGH-QUALITY BACKLINKS | 2 | — | 0 | 7 | 0 0% |
| 能源署單位預算案 | 1 | — | 0 | 1 | 1 100% |
| 中堅企業獲獎名單 | 1 | — | 0 | 1 | 1 100% |
| 產發署輔導廠商資料集 | 1 | — | 0 | 1 | 1 100% |
| 請至國發會政府資料開放平臺下載 | 1 | — | 0 | 9 | 9 100% |
| https://data.gov.tw/node/41412 | 1 | — | 0 | 1 | 1 100% |
| 冷凍空調業登記家數統計表 | 1 | — | 0 | 1 | 1 100% |
| 車輛產業專業人才需求調查報告 | 1 | — | 0 | 1 | 1 100% |
| 台灣風力發電廠商分布概況 | 1 | — | 0 | 1 | 1 100% |
| 綠色成長產品/服務廠商資料集 | 1 | — | 0 | 1 | 1 100% |
| 獲頒創業四十年以上歷史悠久廠商感謝狀名單 | 1 | — | 0 | 1 | 1 100% |
| http://data.gov.tw/node/18765 | 1 | — | 0 | 1 | 1 100% |
| 臺灣製MIT微笑產品驗證制度認可之驗證機構 | 1 | — | 0 | 1 | 1 100% |
| 經濟部（2014）F0001車籠埔斷層活動斷層地質敏感區劃定計畫書，共31頁。 | 1 | — | 0 | 1 | 1 100% |
| 交通部公路局 | 1 | — | 0 | 1 | 1 100% |
| 金屬產業情報 | 1 | — | 0 | 1 | 1 100% |
| 優質太陽光電產品評選活動(金能獎) | 1 | — | 0 | 2 | 2 100% |
| 學生身高平均值(6歲-15歲) | 1 | — | 0 | 1 | 1 100% |
| 綠色工廠獲證廠商 | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| 國家品質獎歷屆得獎名單 | 1 | — | 0 | 1 | 1 100% |
| 原始內容 | 1 | — | 0 | 1 | 0 0% |
| 公用天然氣事業氣體售價 | 1 | — | 0 | 1 | 1 100% |
| 活化應用 | 1 | — | 0 | 3 | 3 100% |
| https://data.gov.tw/dataset/8792 | 1 | — | 0 | 1 | 0 0% |
| 工業精銳獎得獎企業名錄 | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to data.gov.tw?
This page shows all anchor texts found in backlinks pointing to data.gov.tw, 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 data.gov.tw.
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 data.gov.tw have?
The anchor text report for data.gov.tw 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.