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Service ménage à 14400 Bayeux


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Service › Ménage/repassage

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Service ménage : 2 annonces de ménage entre particuliers à 14400 Bayeux Vous recherchez une femme de ménage pour votre domicile ? Ou vous êtes à la recherche d'un emploi de femme de ménage à domicile : déposez votre annonce pour recevoir les offres de voisins intéressés.
 ... voir la suite
Service menage
Service menage
Service : Ménage/repassage
Profil du voisin
Cindy M

10 km · Bayeux 14400

14€/h

Service menage
Service menage
Menage et/ou repassage
Profil du voisin
Virginie G

13 km · Lantheuil 14480

14€/h

Service aide menagere
Service aide menagere
Service : Aide ménagère
Profil du voisin
Adeline L

16 km · Tilly-sur-Seulles 14250

15€/h

Service menage
Service menage
Service : Repassage
Profil du voisin
Christelle P

19 km · Bretteville-l'Orgueilleuse 14740

18€/h

Service repassage
Service repassage
Travaux de menage, nettoyage, repassage
Profil du voisin
Elena M

23 km · Saint-Paul-du-Vernay 14490

12€/h

Demander un service / jobbing de menage ou proposer un service de menage entre particuliers.
Poster une annonce



Publier une annonce « Service Ménage entre particuliers »

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Demandes des voisins

Demandes

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Messages

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Script : /wall.php

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  2. 0.0001

    SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

  3. 0.0001

    SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='14'

  4. 0.0002

    SELECT ville_nom FROM villes WHERE ville_cp='14400' AND ville_nom like '%bayeux%' ORDER BY ville_population_2012 DESC LIMIT 0,1

  5. 0.0001

    SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%menage%' OR ssrubr_title like '%menage%' OR ssrubr_slug like '%menage%') AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

  6. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='14400'

  7. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.97601089476121 AND ville_longitude_deg<-0.42398910523879 HAVING distance <= 20 ORDER BY distance ASC

  8. 0.0023

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='menage'

  9. 0.0027

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+menage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '14400%'

  10. 0.0001

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  11. 0.0002

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  12. 0.0001

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

  13. 0.0002

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

  14. 0.0002

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (47) ORDER BY ssrubr_order ASC

  15. 0.0002

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='menage' AND cate_id='47'

  16. 0.0002

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14400'

  17. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.97601089476121 AND ville_longitude_deg<-0.42398910523879 HAVING distance <= 20 ORDER BY distance ASC

  18. 0.0057

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.883639197041 AND ville_latitude_deg<49.782960802959 AND ville_longitude_deg>-1.3900331871134 AND ville_longitude_deg<-0.0099668128866413 HAVING distance <= 50 ORDER BY distance ASC

  19. 0.0726

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='47' AND MATCH (wish_desc) AGAINST ('(+menage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14400,14400,14520,14117,14117,14400,14520,14400,14400,14400,14400,14400,14117,14400,14400,14400,14400,14960,14400,14400,14400,14520,14400,14960,14710,14400,14400,14400,14400,14480,14400,14400,14400,14400,14400,14960,14400,14400,14400,14400,14710,14480,14480,14480,14400,14400,14490,14740,14710,14114,14400,14400,14480,14250,14330,14740,14480,14480,14480,14480,14480,14710,14710,14250,14490,14490,14250,14710,14710,14710,14480,14250,14710,14490,14480,14330,14480,14330,14250,14740,14250,14710,14710,14480,14250,14330,14250,14490,14250,14470,14250,14710,14470,14740,14480,14490,14490,14740,14250,14470,14710,14740,14710,14230,14710,14610,14740,14490,14490,14230,14250,14610)

  20. 0.0806

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  21. 0.0002

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14400'

  22. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.153435678816 AND ville_latitude_deg<49.513164321184 AND ville_longitude_deg>-0.97601089476121 AND ville_longitude_deg<-0.42398910523879 HAVING distance <= 20 ORDER BY distance ASC

  23. 0.0055

    SELECT ville_cp, ROUND((((acos(sin((49.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.883639197041 AND ville_latitude_deg<49.782960802959 AND ville_longitude_deg>-1.3900331871134 AND ville_longitude_deg<-0.0099668128866413 HAVING distance <= 50 ORDER BY distance ASC

  24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 124141 AND W.type_id = 1) OR (W.util_id != 124141 AND W.type_id = 2)) AND (`post_util_id` = 124141 OR `dest_util_id` = 124141) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=124141 AND note_visu IN (1,3,4)

  26. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 9656 AND W.type_id = 1) OR (W.util_id != 9656 AND W.type_id = 2)) AND (`post_util_id` = 9656 OR `dest_util_id` = 9656) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  27. 0.0001

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  28. 0.0002

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  29. 0.0001

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  30. 0.0002

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  38. 0.0002

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  41. 0.0002

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  43. 0.0001

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  44. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 9656 AND W.type_id = 1) OR (W.util_id != 9656 AND W.type_id = 2)) AND (`post_util_id` = 9656 OR `dest_util_id` = 9656) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

  45. 0.0002

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  46. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id='938' LIMIT 0,1

  47. 0.0002

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  48. 0.0003

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  49. 0.0002

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  51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='937' AND actu_niveau=0 ORDER BY actu_ordre DESC

  52. 0.0017

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

  53. 0

    SELECT count(*) as nbwish FROM wish

  54. 0.0761

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

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Taille variable Globale : 55.13 KB