Research Papers right from python

What is pygetpapers

• pygetpapers is a tool to assist text miners. It makes requests to open access scientific text repositories, analyses the hits, and systematically downloads the articles without further interaction.

• Comes with the packages pygetpapers and downloadtools which provide various functions to download, process and save research papers and their metadata.

• The main medium of its interaction with users is through a command-line interface.

• pygetpapers has a modular design which makes maintenance easy and simple. This also allows adding support for more repositories simple.

The developer documentation has been setup at readthedocs

History

getpapers is a tool written by Rik Smith-Unna funded by ContentMine at https://github.com/ContentMine/getpapers. The OpenVirus community requires a Python version and Ayush Garg has written an implementation from scratch, with some enhancements.

Formats supported by pygetpapers

• pygetpapers gives fulltexts in xml and pdf format.
• The metadata for papers can be saved in many formats including JSON, CSV, HTML.
• Queries can be saved in form of an ini configuration file.
• The additional files for papers can also be downloaded. References and citations for papers are given in XML format.
• Log files can be saved in txt format.

Repository Structure

The main code is located in the pygetpapers directory. All the supporting modules for different repositories are described in the pygetpapers/repository directory.

Architecture

About the author and community

pygetpapers has been developed by Ayush Garg under the dear guidance of the OpenVirus community and Peter Murray Rust. Ayush is currently a high school student who believes that the world can only truly progress when knowledge is open and accessible by all.

Testers from OpenVirus have given a lot of useful feedback to Ayush without which this project would not have been possible.

The community has taken time to ensure that everyone can contribute to this project. So, YOU, the developer, reader and researcher can also contribute by testing, developing, and sharing.

Installation

Ensure that pip is installed along with python. Download python from: https://www.python.org/downloads/ and select the option Add Python to Path while installing.

Check out https://pip.pypa.io/en/stable/installing/ if difficulties installing pip. Also, checkout https://packaging.python.org/en/latest/tutorials/installing-packages/ to learn more about installing packages in python.

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Method one (recommended):

• Enter the command: pip install pygetpapers

• Ensure pygetpapers has been installed by reopening the terminal and typing the command pygetpapers

• You should see a help message come up.

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Method two (Install Directly From Head):

• Ensure git cli is installed and is available in path. Check out (https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)

• Enter the command: pip install git+https://github.com/petermr/pygetpapers.git

• Ensure pygetpapers has been installed by reopening the terminal and typing the command pygetpapers

• You should see a help message come up.

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Usage

pygetpapers is a commandline tool. You can ask for help by running: pygetpapers --help

``` usage: pygetpapers [-h] [--config CONFIG] [-v] [-q QUERY] [-o OUTPUT] [--save_query] [-x] [-p] [-s] [-z] [--references REFERENCES] [-n] [--citations CITATIONS] [-l LOGLEVEL] [-f LOGFILE] [-k LIMIT] [-r] [-u] [--onlyquery] [-c] [--makehtml] [--synonym] [--startdate STARTDATE] [--enddate ENDDATE] [--terms TERMS] [--notterms NOTTERMS] [--api API] [--filter FILTER]

Welcome to Pygetpapers version 0.0.9.3. -h or --help for help

optional arguments: -h, --help show this help message and exit --config CONFIG config file path to read query for pygetpapers -v, --version output the version number -q QUERY, --query QUERY query string transmitted to repository API. Eg. "Artificial Intelligence" or "Plant Parts". To escape special characters within the quotes, use backslash. Incase of nested quotes, ensure that the initial quotes are double and the qutoes inside are single. For eg: '(LICENSE:"cc by" OR LICENSE:"cc-by") AND METHODS:"transcriptome assembly"' is wrong. We should instead use "(LICENSE:'cc by' OR LICENSE:'cc-by') AND METHODS:'transcriptome assembly'" -o OUTPUT, --output OUTPUT output directory (Default: Folder inside current working directory named current date and time) --save_query saved the passed query in a config file -x, --xml download fulltext XMLs if available or save metadata as XML -p, --pdf [E][A] download fulltext PDFs if available (only eupmc and arxiv supported) -s, --supp [E] download supplementary files if available (only eupmc supported) -z, --zip [E] download files from ftp endpoint if available (only eupmc supported) --references REFERENCES [E] Download references if available. (only eupmc supported)Requires source for references (AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR). -n, --noexecute [ALL] report how many results match the query, but don't actually download anything --citations CITATIONS [E] Download citations if available (only eupmc supported). Requires source for citations (AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR). -l LOGLEVEL, --loglevel LOGLEVEL [All] Provide logging level. Example --log warning <>, default='info' -f LOGFILE, --logfile LOGFILE [All] save log to specified file in output directory as well as printing to terminal -k LIMIT, --limit LIMIT [All] maximum number of hits (default: 100) -r, --restart [E] Downloads the missing flags for the corpus.Searches for already existing corpus in the output directory -u, --update [E][B][M][C] Updates the corpus by downloading new papers. Requires -k or --limit (If not provided, default will be used) and -q or --query (must be provided) to be given. Searches for already existing corpus in the output directory --onlyquery [E] Saves json file containing the result of the query in storage. (only eupmc supported)The json file can be given to --restart to download the papers later. -c, --makecsv [All] Stores the per-document metadata as csv. --makehtml [All] Stores the per-document metadata as html. --synonym [E] Results contain synonyms as well. --startdate STARTDATE [E][B][M] Gives papers starting from given date. Format: YYYY-MM-DD --enddate ENDDATE [E][B][M] Gives papers till given date. Format: YYYY-MM- DD --terms TERMS [All] Location of the file which contains terms serperated by a comma or an ami dict which will beOR'ed among themselves and AND'ed with the query --notterms NOTTERMS [All] Location of the txt file which contains terms serperated by a comma or an ami dict which will beOR'ed among themselves and NOT'ed with the query --api API API to search eupmc, crossref,arxiv,biorxiv,medrxiv,rxivist --filter FILTER [C] filter by key value pair (only crossref supported) ```

Queries are build using -q flag. The query format can be found at http://europepmc.org/docs/EBIEuropePMCWebService_Reference.pdf A condensed guide can be found at https://github.com/petermr/pygetpapers/wiki/query-format

Repository-specific flags

To convey the repository specificity, we've used the first letter of the repository in square brackets in its description.

What is CProject?

A CProject is a directory structure that the AMI toolset uses to gather and process data. Each paper gets its folder. A CTree is a subdirectory of a CProject that deals with a single paper.

Tutorial

pygetpapers was on version 0.0.9.3 when the tutorials were documented.

pygetpapers supports multiple APIs including eupmc, crossref,arxiv,biorxiv,medrxiv,rxivist-bio,rxivist-med. By default, it queries EPMC. You can specify the API by using --api flag.

You can also follow this colab notebook as part of the tutorial.

|Features |EPMC |crossref |arxiv|biorxiv |medarxiv|rxvist| |----------------|---------------|--------------|-----|---------------|--------|------| |Fulltext formats|xml, pdf |NA |pdf |xml |xml |xml | |Metdata formats |json, html, csv|json, xml, csv|json, csv, html, xml |json, csv, html|json, csv, html |json, html, csv | |--query |yes |yes |yes |NA |NA |NA | |--update |yes |NA |NA |yes |yes | | |--restart |yes |NA |NA |NA |NA |NA | |--citation |yes |NA |NA |NA |NA |NA | |--references |yes |NA |NA |NA |NA |NA | |--terms |yes |yes |yes |NA |NA |NA |

EPMC (Default API)

Example Query

Let's break down the following query:
pygetpapers -q "METHOD: invasive plant species" -k 10 -o "invasive_plant_species_test" -c --makehtml -x --save_query

|Flag|What it does|In this case pygetpapers...| |---|---|---| |-q|specifies the query|queries for 'invasive plant species' in METHODS section| |-k|number of hits (default 100)|limits hits to 10| |-o|specifies output directory|outputs to invasiveplantspeciestest| |-x|downloads fulltext xml|| |-c|saves per-paper metadata into a single csv|saves single CSV named europe_pmc.csv| |--makehtml|saves per-paper metadata into a single HTML file|saves single HTML named europe_pmc.html| |`--savequery|saves the given query in aconfig.iniin output directory|saves query to [savedconfig.ini`](resources/invasiveplantspeciestest/saved_config.ini)|

pygetpapers, by default, writes metadata to a JSON file within: - individual paper directory for corresponding paper (epmc_result.json) - working directory for all downloaded papers (epmc_results.json)

OUTPUT: INFO: Final query is METHOD: invasive plant species INFO: Total Hits are 17910 0it [00:00, ?it/s]WARNING: Keywords not found for paper 1 WARNING: Keywords not found for paper 4 1it [00:00, 164.87it/s] INFO: Saving XML files to C:\Users\shweata\invasive_plant_species_test\*\fulltext.xml 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:21<00:00, 2.11s/it]

Scope the number of hits for a query

If you are just scoping the number of hits for a given query, you can use -n flag as shown below.

pygetpapers -n -q "essential oil" OUTPUT: INFO: Final query is essential oil INFO: Total number of hits for the query are 190710

Update an existing CProject with new papers by feeding the metadata JSON

The --update command is used to update a CProject with a new set of papers on same or different query. If let's say you have a corpus of a 30 papers on 'essential oil' (like before) and would like to download 20 more papers to the same CProject directory, you use --update command.

To update your Cproject, you would give it the -o flag the already existing CProject name. Additionally, you should also add --update flag. INPUT: pygetpapers -q "invasive plant species" -k 10 -x -o lantana_test_5 --update OUTPUT: INFO: Final query is invasive plant species INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors INFO: Total Hits are 32956 0it [00:00, ?it/s]WARNING: html url not found for paper 5 WARNING: pdf url not found for paper 5 WARNING: Keywords not found for paper 6 WARNING: Keywords not found for paper 7 WARNING: Author list not found for paper 10 1it [00:00, 166.68it/s] INFO: Saving XML files to C:\Users\shweata\lantana_test_5\*\fulltext.xml 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [01:03<00:00, 3.16s/it]

How is --update different from just downloading x number of papers to the same output directory?

By using --update command you can be sure that you don't overwrite the existing papers.

Restart downloading papers to an existing CProject

--restart flag can be used for two purposes: - To download papers in different format. Let's say you downloaded XMLs in the first round. If you want to download pdfs for same set of papers, you use this flag. - Continue the download from the stage where it broke. This feature would particularly come in handy if you are on poor lines. Let's start off by forcefully interrupting the download.
INPUT: pygetpapers -q "pinus" -k 10 -o pinus_10 -x OUTPUT: INFO: Final query is pinus INFO: Total Hits are 32086 0it [00:00, ?it/s]WARNING: html url not found for paper 10 WARNING: pdf url not found for paper 10 1it [00:00, 63.84it/s] INFO: Saving XML files to C:\Users\shweata\pinus_10\*\fulltext.xml 60%|██████████████████████████████████████████████████████████████████████████████▌ | 6/10 [00:20<00:13, 3.42s/it] Traceback (most recent call last): ... KeyboardInterrupt ^C If you take a look at the CProject directory, there are 6 papers downloaded so far. C:. │ eupmc_results.json │ ├───PMC8157994 │ eupmc_result.json │ fulltext.xml │ ├───PMC8180188 │ eupmc_result.json │ fulltext.xml │ ├───PMC8198815 │ eupmc_result.json │ fulltext.xml │ ├───PMC8216501 │ eupmc_result.json │ fulltext.xml │ ├───PMC8309040 │ eupmc_result.json │ fulltext.xml │ └───PMC8325914 eupmc_result.json fulltext.xml To download the rest, we can use --restart flag.
INPUT pygetpapers -q "pinus" -o pinus_10 --restart -x OUTPUT: INFO: Saving XML files to C:\Users\shweata\pinus_10\*\fulltext.xml 80%|████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 8/10 [00:27<00:07, 3.51s/it 90%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 9/10 [00:38<00:05, 5.95s/it100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:40<00:00, 4.49s/it100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:40<00:00, 4.01s/it] Now if we inspect the CProject directory, we see that we have 10 papers as specified. C:. │ eupmc_results.json │ ├───PMC8157994 │ eupmc_result.json │ fulltext.xml │ ├───PMC8180188 │ eupmc_result.json │ fulltext.xml │ ├───PMC8198815 │ eupmc_result.json │ fulltext.xml │ ├───PMC8199922 │ eupmc_result.json │ fulltext.xml │ ├───PMC8216501 │ eupmc_result.json │ fulltext.xml │ ├───PMC8309040 │ eupmc_result.json │ fulltext.xml │ ├───PMC8309338 │ eupmc_result.json │ fulltext.xml │ ├───PMC8325914 │ eupmc_result.json │ fulltext.xml │ ├───PMC8399312 │ eupmc_result.json │ fulltext.xml │ └───PMC8400686 eupmc_result.json fulltext.xml Under the hood, pygetpapers looks for eupmc_results.json, reads it and resumes the download.

You could also use --restart to download the fulltext or metadata in different format other than the ones that you've already downloaded. For example, if I want all the fulltext PDFs of the 10 papers on pinus, I can run:

INPUT: pygetpapers -q "pinus" -o pinus_10 --restart -p --makehtml OUTPUT: ```

pygetpapers -q "pinus" -o pinus10 --restart -p --makehtml 100%|█████████████████████████████████████████████| 10/10 [03:26<00:00, 20.68s/it] Now, if we take a look at the CProject: C:. │ eupmcresults.json │ ├───PMC8157994 │ eupmcresult.html │ eupmcresult.json │ fulltext.pdf │ fulltext.xml │ ├───PMC8180188 │ eupmcresult.html │ eupmcresult.json │ fulltext.pdf │ fulltext.xml │ ├───PMC8198815 │ eupmcresult.html │ eupmcresult.json │ fulltext.pdf │ fulltext.xml ... ``` We find that each paper now has fulltext PDFs and metadata in HTML.

Difference between --restart and --update

• If you aren't looking download new set of papers but would want to download a papers in different format for existing papers, --restart is the flag you'd want to use
• If you are looking to download a new set of papers to an existing Cproject, then you'd use --update command. You should note that the format in which you download papers would only apply to the new set of papers and not for the old.

Downloading citations and references for papers, if available

• --references and --citations flags can be used to download the references and citations respectively.
  
• It also requires source for references (AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR)

pygetpapers -q "lantana" -k 10 -o "test" -c -x --citation PMC

Downloading only the metadata

If you are looking to download just the metadata in the supported formats--onlyquery is the flag you use. It saves the metadata in the output directory.

You can use --restart feature to download the fulltexts for these papers. INPUT: pygetpapers --onlyquery -q "lantana" -k 10 -o "lantana_test" -c OUTPUT: INFO: Final query is lantana INFO: Total Hits are 1909 0it [00:00, ?it/s]WARNING: html url not found for paper 1 WARNING: pdf url not found for paper 1 WARNING: Keywords not found for paper 2 WARNING: Keywords not found for paper 3 WARNING: Author list not found for paper 5 WARNING: Author list not found for paper 8 WARNING: Keywords not found for paper 9 1it [00:00, 407.69it/s]

Download papers within certain start and end date range

By using --startdate and --enddate you can specify the date range within which the papers you want to download were first published.

pygetpapers -q "METHOD:essential oil" --startdate "2020-01-02" --enddate "2021-09-09"

Saving query for later use

To save a query for later use, you can use --save_query. What it does is that it saves the query in a .ini file in the output directory. pygetpapers -q "lantana" -k 10 -o "lantana_query_config"--save_query Here is an example config file pygetpapers outputs

Feed query using config.ini file

Using can use the config.ini file you created using --save_query, you re-run the query. To do so, you will give --config flag the absolute path of the saved_config.ini file.

pygetpapers --config "C:\Users\shweata\lantana_query_config\saved_config.ini"

Querying using a term list

--terms flag

If your query is complex with multiple ORs, you can use --terms feature. To do so, you will: - Create a .txt file with list of terms separated by commas or an ami-dictionary (Click here to learn how to create dictionaries). - Give the --terms flag the absolute path of the .txt file or ami-dictionary (XML)

-q is optional.The terms would be OR'ed with each other ANDed with the query, if given.

INPUT: pygetpapers -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil" -x OUTPUT: C:\Users\shweata>pygetpapers -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil" INFO: Final query is (essential oil AND (antioxidant OR antibacterial OR antifungal OR antiseptic OR antitrichomonal agent)) INFO: Total Hits are 43397 0it [00:00, ?it/s]WARNING: Author list not found for paper 9 1it [00:00, 1064.00it/s] 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:19<00:00, 1.99s/it]

You can also use this feature to download papers by using the PMC Ids. You can feed the .txt file with PMC ids comman-separated. Make sure to give a large enough hit number to download all the papers specified in the text file.

Example text file can be found, here INPUT: pygetpapers --terms C:\Users\shweata\PMCID_pygetpapers_text.txt -k 100 -o "PMCID_test"

OUTPUT: INFO: Final query is (PMC6856665 OR PMC6877543 OR PMC6927906 OR PMC7008714 OR PMC7040181 OR PMC7080866 OR PMC7082878 OR PMC7096589 OR PMC7111464 OR PMC7142259 OR PMC7158757 OR PMC7174509 OR PMC7193700 OR PMC7198785 OR PMC7201129 OR PMC7203781 OR PMC7206980 OR PMC7214627 OR PMC7214803 OR PMC7220991 ) INFO: Total Hits are 20 WARNING: Could not find more papers 1it [00:00, 505.46it/s] 100%|█████████████████████████████████████████████| 20/20 [00:32<00:00, 1.61s/it]

--notterms

Excluded papers that have certain keywords might also be of interest for you. For example, if you want papers on essential oil which doesn't mention antibacterial , antiseptic or antimicrobial, you can run either create a dictionary or a text file with these terms (comma-separated), specify its absolute path to --notterms flag.

INPUT: pygetpapers -q "essential oil" -k 10 -o essential_oil_not_terms_test --notterms C:\Users\shweata\not_terms_test.txt OUTPUT: INFO: Final query is (essential oil AND NOT (antimicrobial OR antiseptic OR antibacterial)) INFO: Total Hits are 165557 1it [00:00, ?it/s] 100%|█| 10/10 [00:49<00:00, 4.95s/ The number of papers are reduced by a some proportion. For comparision, "essential oil" query gives us 193922 hits.
C:\Users\shweata>pygetpapers -q "essential oil" -n INFO: Final query is essential oil INFO: Total number of hits for the query are 193922

Using --terms with dictionaries

We will take the same example as before. - Assuming you have ami3 installed, you can create ami-dictionaries - Start off by listing the terms in a .txt file antimicrobial antiseptic antibacterial - Run the following command from the directory in which the text file exists amidict -v --dictionary pygetpapers_terms --directory pygetpapers_terms --input pygetpapers_terms.txt create --informat list --outformats xml That's it! You've now created a simple ami-dictionary. There are ways of creating dictionaries from Wikidata as well. You can learn more about how to do that in this Wiki page. - You can also use standard dictionaries that are available. we, then, pass the absolute path of the dictionary to --terms flag.

INPUT: pygetpapers -q "essential oil" --terms C:\Users\shweata\pygetpapers_terms\pygetpapers_terms.xml -k 10 -o pygetpapers_dictionary_test -x OUTPUT: INFO: Final query is (essential oil AND (antibacterial OR antimicrobial OR antiseptic)) INFO: Total Hits are 28365 0it [00:00, ?it/s]WARNING: Keywords not found for paper 5 WARNING: Keywords not found for paper 7 1it [00:00, ?it/s] INFO: Saving XML files to C:\Users\shweata\pygetpapers_dictionary_test\*\fulltext.xml 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:36<00:00, 3.67s/it]

Log levels

You can specify the log level using the -l flag. The default as you've already seen so far is info.

INPUT: pygetpapers -q "lantana" -k 10 -o lantana_test_10_2 --loglevel debug -x

Log file

You can also choose to write the log to a .txt file in your HOME directory, while simultaneously printing it out.

INPUT: pygetpapers -q "lantana" -k 10 -o lantana_test_10_4 --loglevel debug -x --logfile test_log.txt Here is the log file.

Crossref

You can query crossref api for the metadata only.

Sample query

• The metadata formats flags are applicable as described in the EPMC tutorial
• --terms and -q are also applicable to crossref INPUT: pygetpapers --api crossref -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil_crossref_3" -x -c --makehtml OUTPUT: INFO: Final query is (essential oil AND (antioxidant OR antibacterial OR antifungal OR antiseptic OR antitrichomonal agent)) INFO: Making request to crossref INFO: Got request result from crossref INFO: Making csv files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 185.52it/s] INFO: Making html files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 87.98it/s] INFO: Making xml files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 366.97it/s] INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\terms_test_essential_oil_crossref_3 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 996.82it/s] We have 10 folders in the CProject directory. ``` C:\Users\shweata>cd termstestessentialoilcrossref_3

C:\Users\shweata\termstestessentialoilcrossref3>tree Folder PATH listing for volume Windows-SSD Volume serial number is D88A-559A C:. ├───10.1016j.bcab.2021.101913 ├───10.1055s-0029-1234896 ├───10.10800972060x.2016.1231597 ├───10.108010412905.1989.9697767 ├───10.1111j.1745-4565.2012.00378.x ├───10.17795bhs-24733 ├───10.23880oajmms-16000131 ├───10.34302crpjfst2019.11.2.8 ├───10.52200008855200960099 └───10.52200009957801190122 ```

--update

--update works the same as in EPMC. You can use this flag to increase the number of papers in a given CProject. INPUT pygetpapers --api crossref -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 5 -o "terms_test_essential_oil_crossref_3" -x -c --makehtml --update OUTPUT: INFO: Final query is (essential oil AND (antioxidant OR antibacterial OR antifungal OR antiseptic OR antitrichomonal agent)) INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors INFO: Reading old json metadata file INFO: Making request to crossref INFO: Got request result from crossref INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\terms_test_essential_oil_crossref_3 100%|██████████████████████████████████████████████| 5/5 [00:00<00:00, 346.84it/s] The CProject after updating: C:. ├───10.1002_mbo3.459 ├───10.1016_j.bcab.2021.101913 ├───10.1055_s-0029-1234896 ├───10.1080_0972060x.2014.895156 ├───10.1080_0972060x.2016.1231597 ├───10.1080_0972060x.2017.1345329 ├───10.1080_10412905.1989.9697767 ├───10.1080_10412905.2021.1941338 ├───10.1111_j.1745-4565.2012.00378.x ├───10.15406_oajs.2019.03.00121 ├───10.17795_bhs-24733 ├───10.23880_oajmms-16000131 ├───10.34302_crpjfst_2019.11.2.8 ├───10.5220_0008855200960099 └───10.5220_0009957801190122 We started off with 10 paper folders, and increased the number to 15.

Filter

arxiv

pygetpapers allows you to query arxiv for full text PDF and metadata in all supported formats.

Sample query

INPUT pygetpapers --api arxiv -k 10 -o arxiv_test_3 -q "artificial intelligence" -x -p --makehtml -c OUTPUT ```

INFO: Final query is artificial intelligence INFO: Making request to Arxiv through pygetpapers INFO: Got request result from Arxiv through pygetpapers INFO: Requesting 10 results at offset 0 INFO: Requesting page of results INFO: Got first page; 10 of 10 results available INFO: Downloading Pdfs for papers 100%|█████████████████████████████████████████████| 10/10 [01:02<00:00, 6.27s/it] INFO: Making csv files for metadata at C:\Users\shweata\arxivtest3 100%|████████████████████████████████████████████| 10/10 [00:00<00:00, 187.31it/s] INFO: Making html files for metadata at C:\Users\shweata\arxivtest3 100%|████████████████████████████████████████████| 10/10 [00:00<00:00, 161.87it/s] INFO: Making xml files for metadata at C:\Users\shweata\arxivtest3 100%|█████████████████████████████████████████████████████| 10/10 [00:00<?, ?it/s] 100%|███████████████████████████████████████████| 10/10 [00:00<00:00, 1111.22it/s] `` Note:--updateisn't supported forarxiv`

Biorxiv and Medrxiv

You can query biorxiv and medrxiv for fulltext and metadata (in all supported formats). However, passing a query string using -q flag isn't supported for both the Repositories. You can only provide a date range.

Sample Query - biorxiv

INPUT: pygetpapers --api biorxiv -k 10 -x --startdate 2021-01-01 -o biorxiv_test_20210831 OUTPUT: WARNING: Currently biorxiv api is malfunctioning and returning wrong DOIs INFO: Making Request to rxiv INFO: Making xml for paper 100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [00:23<00:00, 2.34s/it] INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\biorxiv_test_20210831 100%|█████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 684.72it/s]

--update command

INPUT pygetpapers --api biorxiv -k 10 -x --startdate 2021-01-01 -o biorxiv_test_20210831 --update OUTPUT WARNING: Currently biorxiv api is malfunctioning and returning wrong DOIs INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors INFO: Reading old json metadata file INFO: Making Request to rxiv INFO: Making xml for paper 100%|██████████████████████████████████████████████████████████████████████████████████| 10/10 [00:22<00:00, 2.23s/it] INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\biorxiv_test_20210831 100%|█████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 492.39it/s] The CProject now has 20 papers, in total after updating. ├───10.1101_008326 ├───10.1101_010553 ├───10.1101_035972 ├───10.1101_046052 ├───10.1101_060012 ├───10.1101_067736 ├───10.1101_086710 ├───10.1101_092205 ├───10.1101_092619 ├───10.1101_093237 ├───10.1101_121061 ├───10.1101_135749 ├───10.1101_145664 ├───10.1101_145896 ├───10.1101_165845 ├───10.1101_180273 ├───10.1101_181198 ├───10.1101_191858 ├───10.1101_194266 └───10.1101_196105 The working of medarxiv is same as biorxiv

rxivist

Lets you specify a queries string to both biorxiv and medarxiv. The results you get would be a mixture of papers from both repository since rxivist doesn't differentiate.

Another caveat here is that you can only retrieve metadata from rxivist.

INPUT: pygetpapers --api rxivist -q "biomedicine" -k 10 -c -x -o "biomedicine_rxivist" --makehtml -p OUTPUT: WARNING: Pdf is not supported for this api INFO: Final query is biomedicine INFO: Making Request to rxivist INFO: Making csv files for metadata at C:\Users\shweata\biomedicine_rxivist 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 125.54it/s] INFO: Making html files for metadata at C:\Users\shweata\biomedicine_rxivist 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 124.71it/s] INFO: Making xml files for metadata at C:\Users\shweata\biomedicine_rxivist 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 633.38it/s] INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\biomedicine_rxivist 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 751.09it/s]

Query hits only

Like any other repositories under pygetpapers, you can use the -n flag to get only the hit number INPUT: C:\Users\shweata>pygetpapers --api rxivist -q "biomedical sciences" -n OUTPUT: INFO: Final query is biomedical sciences INFO: Making Request to rxivist INFO: Total number of hits for the query are 62

Update

--update works the same as many other repositories. Make sure to provide rxvist as api.

INPUT: pygetpapers --api rxivist -q "biomedical sciences" -k 20 -c -x -o "biomedicine_rxivist" --update OUPUT: INFO: Final query is biomedical sciences INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors INFO: Reading old json metadata file INFO: Making Request to rxivist INFO: Making csv files for metadata at C:\Users\shweata\biomedicine_rxivist 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 203.69it/s] INFO: Making xml files for metadata at C:\Users\shweata\biomedicine_rxivist 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 1059.17it/s] INFO: Wrote metadata file for the query INFO: Writing metadata file for the papers at C:\Users\shweata\biomedicine_rxivist 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 1077.12it/s]

Run pygetpapers within the module

def run_command(output=False, query=False, save_query=False, xml=False, pdf=False, supp=False, zip=False, references=False, noexecute=False, citations=False, limit=100, restart=False, update=False, onlyquery=False, makecsv=False, makehtml=False, synonym=False, startdate=False, enddate=False, terms=False, notterms=False, api='europe_pmc', filter=None, loglevel='info', logfile=False, version=False)

Here's an example script to download 50 papers from EPMC on 'lantana camara'.

from pygetpapers import Pygetpapers pygetpapers_call=Pygetpapers() pygetpapers_call.run_command(query='lantana camara',limit=-50 ,output= lantana_camara, xml=True)

Test pygetpapers

To run automated testing on pygetpapers, do the following: 1) Install pygetpapers 2) Clone into pygetpapers repository 3) Install pytest 4) Run the command, pytest

Contributions

https://github.com/petermr/pygetpapers/blob/main/resources/CONTRIBUTING.md

Feature Requests

To request features, please put them in issues

Legal Implications

If you usepygetpapers, you should be careful to understand the law as it applies to their content mining, as they assume full responsibility for their actions when using the software.

Countries with copyright exceptions for content mining:

• UK
• Japan

Countries with proposed copyright exceptions:

• Ireland
• EU countries

Countries with permissive interpretations of 'fair use' that might allow content mining:

• Israel
• USA
• Canada

General summaries and guides:

• "The legal framework of text and data mining (TDM)", carried out for the European Commission in March 2014 (PDF)
• "Standardisation in the area of innovation and technological development, notably in the field of Text and Data Mining", carried out for the European Commission in 2014 (PDF)