gov2-ro / declaratii-integritate

ANI declaratii.integritate.eu scraper

declaratii.integritate.eu scraper

• declaratii-integritate.py - fetches html rows and csvs (Exporta resultate)
• consolidate_dl_csvs.py - consolidates dowloaded (Exporta resultate) csvs
• consolidate-all.py - consolidates Exported csv w parsed html rows

Roadmap

big pages wo pagination? count page turns max 10k go for bucuresti, bucuresti si un fel de declaratie then difference per judet, log errors

• get data from result table

• follow pagination

• loop dates

• log errors

• log results & meta/ count results

• prevent overwrite (update untill found)

• scrape from today to the latest logged day

• split into functions

• update missing values

  • break query in parts - date, tip declaratie, judet

• download csvs

  • rename to target date

• consolidate declaratii din tabel

• consolidate downloaded csvs

  • remove duplicates

• compare results - between downloaded csvs and scraped table pages / rows

• build stats

• download pdfs

• parse pdfs

---

Initial approach

open page click advanced

loop (while start_date < earliest_date)
    add dates 
    see if max 10000 - if so previou day log err
    see if none - if so previous range log err

    if resultsTable

    read table (function)
    check if next
        append table
        advance next

    write to csv
    advance days

1. open declaratii.integritate.eu
2. click 'Căutare avansată' button (<a id="form:showAdvancedSearch">) found here: <div class="srch_switch"><a href="#" id="form:showAdvancedSearch">Căutare avansată</a><span></span></div>
3. wait for <div id="form:advanced-search-panel"> ... <div id="form:advanced-search-panel_content"> to load
4. input current date (ex: 03.10.2023) in this field, also change 'value' parameter accordingly <input id="form:endDate_input" name="form:endDate_input" role="textbox" type="text" value="03.10.2023"> input current date - 3 working days (ex: 29.09.2023) in <input id="form:startDate_input" name="form:startDate_input" role="textbox" size="10" type="text" value="29.09.2023"> - also change 'value' attribute inside tag
5. click on <input id="form:submitButtonAS"> inside <div class="advanced_srch_subm_right"><input class="button" id="form:submitButtonAS" name="form:submitButtonAS" type="submit" value="caută>"><span></span></div>

Nume Prenume	Institutie	Functie	Localitate	Judet	Data completare declaratie	Tip declaratie
GRECU P PETRUȚA AURORA	Liceul Tehnologic Energetic Dragomir Hurmuzescu Deva	Director adjunct	Deva	Hunedoara	30.09.2023	Declaraţie de avere
DAMIAN D IULIA	Administratia Nationala Apele Romane - Cod Caen 3600, 3900, 4291, 6203	Șef birou	Sectorul 1	Bucuresti	02.10.2023	Declaraţie de avere
TEODORESCU Gh GEORGETA	Inspectoratul Scolar Al Judetului Arges	Inspector scolar	Pitesti	Arges	30.09.2023	Declaraţie de interese
Gorcitz V Lucica	Directia Generala Regionala A Finantelor Publice Brasov	Inspector	Targu Mures	Mures	02.10.2023	Declaraţie de avere

---

SQL

Consolidate CSVs (downloaded and scraped from table)

SELECT
    COALESCE(d.NumePrenume, t.NumePrenume) AS NumePrenume,
    COALESCE(d.Institutie, t.Institutie) AS Institutie,
    COALESCE(d.Datacompletaredeclaratie, t.Datacompletaredeclaratie) AS Datacompletaredeclaratie,
    COALESCE(d.Tipdeclaratie, t.Tipdeclaratie) AS Tipdeclaratie,
    d.Functie_x,
    d.Localitate_x,
    d.Judet_x,
    d.Functie_y,
    d.Localitate_y,
    d.Judet_y,
    d.Vezideclaratie AS Vezideclaratie_d,
    d."Vezideclaratie.1" AS Vezideclaratie1_d,
    t.Functie AS Functie_t,
    t.Localitate AS Localitate_t,
    t.Judet AS Judet_t,
    t.Vezideclaratie AS Vezideclaratie_t,
    t."Vezideclaratie2" AS Vezideclaratie2_t,
    COALESCE(d.page, t.page) AS page,
    COALESCE(d.rezultate, t.rezultate) AS rezultate,
    COALESCE(d.start_date, t.start_date) AS start_date,
    COALESCE(d.end_date, t.end_date) AS end_date,
    CASE 
        WHEN d.NumePrenume IS NOT NULL AND t.NumePrenume IS NOT NULL THEN 'both'
        WHEN d.NumePrenume IS NOT NULL THEN 'dlcsv'
        ELSE 'tblz'
    END AS merged_status
FROM dlcsv d
LEFT JOIN tblz t ON d.NumePrenume = t.NumePrenume
                AND d.Institutie = t.Institutie
                AND d.Datacompletaredeclaratie = t.Datacompletaredeclaratie
UNION ALL
SELECT
    COALESCE(t.NumePrenume, d.NumePrenume),
    COALESCE(t.Institutie, d.Institutie),
    COALESCE(t.Datacompletaredeclaratie, d.Datacompletaredeclaratie),
    COALESCE(t.Tipdeclaratie, d.Tipdeclaratie),
    d.Functie_x,
    d.Localitate_x,
    d.Judet_x,
    d.Functie_y,
    d.Localitate_y,
    d.Judet_y,
    d.Vezideclaratie,
    d."Vezideclaratie.1",
    t.Functie,
    t.Localitate,
    t.Judet,
    t.Vezideclaratie,
    t."Vezideclaratie2",
    COALESCE(t.page, d.page),
    COALESCE(t.rezultate, d.rezultate),
    COALESCE(t.start_date, d.start_date),
    COALESCE(t.end_date, d.end_date),
    CASE 
        WHEN t.NumePrenume IS NOT NULL AND d.NumePrenume IS NULL THEN 'tblz'
        ELSE 'dlcsv'
    END AS merged_status
FROM tblz t
LEFT JOIN dlcsv d ON t.NumePrenume = d.NumePrenume
                AND t.Institutie = d.Institutie
                AND t.Datacompletaredeclaratie = d.Datacompletaredeclaratie
WHERE d.NumePrenume IS NULL;

stats

CREATE VIEW stats1 AS
    SELECT 
    SUBSTR(Datacompletaredeclaratie, 7, 4) AS year,
    SUBSTR(Datacompletaredeclaratie, 4, 2) AS month,
    Institutie,
    COALESCE(Localitate_x, Localitate_t) AS localitate,
    COALESCE(Judet_x, Judet_y, Judet_t) AS judet,
    COUNT(*) AS count
FROM match_all
WHERE Institutie IS NOT NULL
AND Datacompletaredeclaratie IS NOT NULL
GROUP BY year,
    month,
    Institutie,
    localitate,
    judet
HAVING count > 0;