dblp-crawler 1.4.1

异步高并发dblp爬虫，慎用

dblp-crawler

Asynchronous high-concurrency dblp crawler, use with caution!

异步高并发dblp爬虫，慎用！

Install

pip install dblp-crawler

Usage

Help

python -m dblp_crawler -h
usage: __main__.py [-h] [-y YEAR] -k KEYWORD [-p PID] [-j JOURNAL] {networkx,neo4j} ...

positional arguments:
  {networkx,neo4j}      sub-command help
    networkx            networkx help
    neo4j               neo4j help

optional arguments:
  -h, --help            show this help message and exit
  -y YEAR, --year YEAR  Only crawl the paper after the specified year.
  -k KEYWORD, --keyword KEYWORD
                        Specify keyword rules.
  -p PID, --pid PID     Specified author pids to start crawling.
  -j JOURNAL, --journal JOURNAL
                        Specify author journal keys to start crawling.

python -m dblp_crawler networkx -h
usage: __main__.py networkx [-h] --dest DEST

optional arguments:
  -h, --help   show this help message and exit
  --dest DEST  Path to write results.

python -m dblp_crawler neo4j -h   
usage: __main__.py neo4j [-h] [--auth AUTH] --uri URI

optional arguments:
  -h, --help   show this help message and exit
  --auth AUTH  Auth to neo4j database.
  --uri URI    URI to neo4j database.

Write to a JSON file

e.g. write to summary.json:

python -m dblp_crawler -k video -k edge -p l/JiangchuanLiu networkx --dest summary.json

Write to a Neo4J database

e.g. write to neo4j://10.128.202.18:7687:

python -m dblp_crawler -k video -k edge -p l/JiangchuanLiu neo4j --uri neo4j://10.128.202.18:7687

Only crawl the paper after specified year

e.g. crawl the paper after 2016 (include 2016)

python -m dblp_crawler -k video -k edge -p l/JiangchuanLiu -y 2016 networkx --dest summary.json

Keywords with two or more words

e.g. super resolution (publications with title contains both "super" and "resolution" will be selected)

python -m dblp_crawler -k video -k edge -p l/JiangchuanLiu -k "'super','resolution'" networkx --dest summary.json

Init authors from journal

e.g. init authors from ACM MM (db/conf/mm is the key for ACM MM in dblp: "https://dblp.org/db/conf/mm/index.xml")

python -m dblp_crawler -k video -k edge -j db/conf/mm networkx --dest summary.json

Init authors from journal in some variables

e.g. there is a CCF_A in dblp_crawler.data contains keys of CCF A conferences

python -m dblp_crawler -k video -k edge -j "importlib.import_module('dblp_crawler.data').CCF_A" networkx --dest summary.json

dblp_crawler.filter Usage

Help

python -m dblp_crawler.filter -h                                                       
usage: __main__.py [-h] -i INPUT -o OUTPUT -f FILTER

optional arguments:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        Input file path.
  -o OUTPUT, --output OUTPUT
                        Output file path.
  -f FILTER, --filter FILTER
                        Filter functions.

Use internal filter

e.g. drop_old_publications is an internal function that drop publication by year

python -m dblp_crawler.filter -i summary.json -o summary.filter.json -f "lambda summary: drop_old_publications(summary, 2016)"

Use multiple filters

e.g. drop_old_publications is an internal function that drop publication by year

python -m dblp_crawler.filter -i summary.json -o summary.filter.json \
  -f "lambda summary: drop_old_person_publications(summary, 2016)" \
  -f "lambda summary: drop_nodes_by_all_publications(summary, 4)" \
  -f "lambda summary: drop_edges_by_all_publications(summary, 4)"

Use your own filter

e.g. another method to use -f "lambda summary: drop_old_publications(summary, 2016)"

python -m dblp_crawler.filter -i summary.json -o summary.filter.json -f "lambda summary: importlib.import_module('dblp_crawler.filter').drop_old_publications(summary, 2016)"