Order parser
169 USD 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.
Client's review of cooperation with Sergey Andreyev
Order parserGood communication, quickly, quality - I recommend
Freelancer's review of cooperation with Oleksandra Kilimnik
Order parserI liked the collaboration, understanding, and problem-solving.
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5 days180 USD
2283 25 1 5 days180 USD
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!
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Winning proposal1 day169 USD
765 7 0 Winning proposal1 day169 USD
I am a Python developer with over 7 years of experience. It looks clear. I am ready to take it on!
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5 days225 USD
991 12 1 5 days225 USD
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!
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1 day449 USD
8193 63 1 1 day449 USD
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
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1 day169 USD
172 1 1 1 day169 USD
Good day! I am ready to complete this project. Great experience in developing various applications.
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3 days169 USD
10123 117 0 3 days169 USD
Hello.
I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.
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7 days225 USD
1512 15 0 1 7 days225 USD
Good day. I have looked. I already have a plan for implementation - feel free to reach out.
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