I am looking for a Python developer to create a stable job vacancy parser from the Bundesagentur für Arbeit website (https://www.arbeitsagentur.de/jobsuche/.
The final tool should collect job vacancies from the list and job detail pages, apply mandatory filters, and return a structured table according to my columns.

The project includes a simple dashboard (web interface) so that I can initiate the collection myself (keyword, city/radius, publication period), click "Start," and receive a ready Excel/CSV/Google Sheet.

Important: there is a captcha (hCaptcha) on BA.

Materials that I will attach to the project

Job Page.png — shows where exactly to take: Position, Unternehmen, Straße und Hausnummer, PLZ/Ort, Ansprechperson (AP), Telefon, E-Mail, Homepage, Veröffentlichungsdatum, Referenz-Nr. (nr.), Einsatzort, Link auf Anzeige.
Filters BA.png — shows which filters must be enabled before parsing:
- Exclude temporary work (exclude)
- Exclude external job boards (exclude)
- Publication date (period: 24h / 7 days / 14 days / 1 month)
Mailing Datenbank.xlsx — reference columns that need to be filled (you can take the column names directly from this file).

Columns of the output table (exactly as in the file)

– Datum Scraping
– Veröffentlichungsdatum
– nr. (Referenz-Nr.)
– Position
– Unternehmen
– Straße und Hausnummer
– PLZ, Ort
– Telefon
– Internet (Homepage)
– Ansprechperson (AP)
– E-Mail – AP Firma
– Einsatzort
– Link auf Anzeige
– all positions

If a field is missing on the page — put empty.

Filters (mandatory)

Temporary work = false (no temporary work in the result)
External job boards = hide (filter out external job boards)
Publication date = last X days (according to the parameter in the dashboard, 24h / 7 days / 14 days / 1 month)

Deduplication

Primary key: Referenz-Nr. (nr.)

Data quality requirements

Address split: Street / PLZ / Ort
Phone/Email — clean values (without "E+11", without extra characters)
Job URL — clickable URL of the job card (not internal ID)
Publication date: if "vor X Tagen" — convert to exact date

Technical requirements

Re-running does not create duplicates.

Dashboard (minimum)

Fields: keyword, city/radius, publication period (24h/7/14/30), checkboxes for filters temporary work/external
Button Start → after execution provides download Excel and — push to Google Sheet).

Acceptance criteria

Output Excel/CSV exactly according to the structure of "Mailing Datenbank.xlsx" (column names from the file).
Random check of 50 vacancies: addresses split, contacts clean, publication dates — exact dates, URLs open.
If there is no data — the corresponding column shows empty.
README with instructions and a brief report (how many collected, filtered out temporary work/external, number of duplicates, number of 429/5xx, how captcha was handled).

Phases and test

Test task (mandatory): collect 20 vacancies "Lagermitarbeiter/in" within 7 days, applying filters; submit Excel/CSV according to the structure of the file; mark missing fields as empty.
Phase 1 (contract): complete parser BA + deduplication + rule empty + output to Excel/CSV.

Proposals 10

Oleksandr Stinkovyi

117 0

Budget: 7500 UAH Deadline: 3 days

Hello.

I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.

Alex Sorokopud

25 1

Budget: 8000 UAH Deadline: 5 days

Hello, I have been developing in Python for over 5 years, and I recently completed a project for parsing LinkedIn which also included a captcha. I am familiar with the website; there is an option using requests for speed, and another with an anti-detect browser for reliability. Generating in Excel is not a problem; we can use the pandas library. I also propose an interface using Flask; when the program runs, there will be a local web interface with buttons, a nice design, and logging to view the process. I would be happy to discuss the details and move forward with collaboration!

Sergey Andreyev

Winning proposal

7 0

Budget: 7500 UAH Deadline: 1 day

I am a Python developer with over 7 years of experience. It looks clear. I am ready to take it on!

Rostyslav Abramiv

12 1

Budget: 10000 UAH Deadline: 5 days

I am ready to promptly and qualitatively complete your order. I have experience working with similar projects, always adhere to deadlines and technical specifications. I will be happy to collaborate!

Artur Lavrinovich

63 1

Projects 63
Rating -
Rating 8 057

Budget: 20000 UAH Deadline: 1 day

Good day,

I am ready to take on the project of developing a stable job parser from the Bundesagentur für Arbeit website. My task will be to create a tool that will automatically collect job listings, apply mandatory filters, and return a structured table according to your columns. I will also include a simple dashboard for easy initiation of the collection and obtaining results in Excel/CSV/Google Sheet format.

Considering the presence of CAPTCHA on BA, I will implement the appropriate handling.

I look forward to the opportunity to try my skills, my rate is $16 per hour. To begin, it is necessary to familiarize myself in more detail with all the materials and the task.

Arthur

Dmytro Zmenkov

1 1

Projects -
Rating -
Rating 97

Budget: 7500 UAH Deadline: 1 day

Good day! I am ready to complete this project. Great experience in developing various applications.

Timur Allashev

15 0

Projects 17
Rating -
Rating 1 512

Budget: 10000 UAH Deadline: 7 days

Good day. I have looked. I already have a plan for implementation - feel free to reach out.

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